Tag: Artificial inteligence

  • DeepSeek: The AI Disruptor Challenging Silicon Valley

    DeepSeek has emerged as a formidable force in the AI industry, rapidly challenging established players with its groundbreaking approach to artificial intelligence. Unlike traditional AI firms that rely on expensive proprietary models and massive computational power, DeepSeek has adopted an innovative, cost-efficient strategy that delivers high-performance results without the need for cutting-edge hardware. By leveraging open-source methodologies and advanced training techniques, the company has proven that AI breakthroughs don’t always require billion-dollar budgets.

    With its unique ability to develop powerful AI models at a fraction of the cost, DeepSeek is not just a competitor—it is a paradigm shift in how artificial intelligence is built and deployed.

    In this StartupTalky article, we will explore DeepSeek’s journey, its founder, startup story, business model, revenue model, competitors, challenges, and the implications of its success on the AI industry.

    DeepSeek ai – Company Highlights

    Name DeepSeek ai
    Headquarters Hangzhou, Zhejiang
    Founder Liang Wengfang
    Founded 2023
    Sector Chinese AI bot
    Website Deepseek.com

    DeepSeek – About
    DeepSeek – Industry
    DeepSeek – Founders and Team
    DeepSeek – Startup Story
    DeepSeek – Mission and Vision
    DeepSeek – Name, Tagline and Logo
    DeepSeek – Business Model
    DeepSeek – Revenue Model
    DeepSeek – Challenges Faced
    DeepSeek – Online and Social Media Presence
    DeepSeek – Competitors
    DeepSeek – Future Plans

    DeepSeek – About

    DeepSeek AI is a China-based company specializing in open-source large language models. Backed entirely by the Chinese hedge fund High-Flyer, it has managed to create AI tools that rival ChatGPT in performance. What’s remarkable is that DeepSeek achieved this using significantly fewer resources and at a fraction of the cost. The company developed its model despite challenges posed by U.S. sanctions on China, which limited access to Nvidia chips and aimed to curb the country’s progress in advanced AI technologies.

    DeepSeek – Industry

    DeepSeek, a Chinese AI startup, has shaken the global AI landscape with its low-cost, open-source model, R1. This breakthrough has put pressure on industry leaders like OpenAI and Meta while triggering a notable market reaction—most significantly, a decline in Nvidia’s valuation. DeepSeek’s rise underscores China’s growing influence in artificial intelligence, forcing competitors to rethink their strategies.

    Forecasted Artificial Intelligence (AI) Market Size
    Forecasted Artificial Intelligence (AI) Market Size

    Key Insights

    • Disrupting the AI Industry: DeepSeek’s cost-efficient, open-source model challenges tech giants like OpenAI and Meta, redefining AI accessibility.
    • Market Ripples: The impact of DeepSeek’s entry is evident, with Nvidia’s market cap decline signaling a shift in industry dynamics.
    • India’s AI Landscape: While India has promising AI initiatives, it lags in global competition. Prioritizing cost-effective solutions and attracting top talent could help bridge the gap.
    • Projected AI Growth: The global AI market is on track to reach $1.8 trillion by 2030, while India’s domestic AI industry is expected to grow to $17 billion by 2027, presenting significant opportunities for innovation and investment.

    DeepSeek – Founders and Team

    Liang Wenfeng, Founder & CEO

    Liang Wenfeng - Founder and CEO, DeepSeek
    Liang Wenfeng – Founder and CEO, DeepSeek

    You’ve heard of Tim Cook, Elon Musk, and Sam Altman — big names in tech and innovation. But lately, it’s Liang Wenfeng who’s turning heads. He’s the brain behind DeepSeek R1, the cutting-edge Chinese AI model that has caught the industry off guard and shaken up Wall Street.

    Liang is a Chinese entrepreneur who co-founded the hedge fund High-Flyer and later launched its AI division, DeepSeek. Born in 1985 in Zhanjiang, Guangdong, he grew up in a simple household, with his father working as a primary school teacher.

    He studied at Zhejiang University, where he earned a bachelor’s degree in electronic information engineering in 2007, followed by a master’s degree in information and communication engineering in 2010. For his master’s thesis, Liang worked on a project about low-cost PTZ cameras and tracking algorithms — a far cry from the world-changing AI he’s known for today.

    Liang’s interest in AI and finance took shape during the 2007–2008 financial crisis. While still in university, he teamed up with classmates to gather financial market data and experiment with quantitative trading using machine learning. After graduating, Liang moved to an affordable flat in Chengdu, Sichuan, where he tried applying AI to different industries. Most of his early ventures didn’t work out, but everything changed when he focused on finance, paving the way for his later success.


    Liang Wenfeng: Revolution That’s Shaking Silicon Valley | DeepSeek | Persoonal Life | Net worth | Education
    Liang Wenfeng, founder of DeepSeek, is a Chinese AI entrepreneur focused on open-source large language models and artificial general intelligence (AGI). Let’s explore about Liang Wenfeng’s journey to DeepSeek, his net worth, personal life, education, and more.


    DeepSeek – Startup Story

    Liang Wenfeng might not be a household name outside China, but his knack for merging emerging technologies with smart investments has built a reputation that’s hard to ignore. In April 2023, High-Flyer, the hedge fund he co-founded, launched an artificial general intelligence (AGI) lab focused on developing AI tools outside its financial ventures. Just a month later, this lab spun off into its entity, DeepSeek, with High-Flyer as one of its key backers.

    Venture capital firms initially hesitated to invest, doubting the lab’s ability to deliver quick returns. However, DeepSeek silenced skeptics in May 2024 with the release of DeepSeek-V2, an AI model offering impressive performance at a remarkably low cost. This move sparked what’s now referred to as China’s “AI model price war.” Tech giants like ByteDance, Tencent, Baidu, and Alibaba were forced to slash their AI model prices to keep up. Despite its affordability, DeepSeek managed to turn a profit, unlike many of its rivals that struggled with losses. Its pricing strategy earned it the nickname “the Pinduoduo of AI.”

    Interestingly, DeepSeek remains research-focused, with no immediate plans for commercialization. This approach not only sets it apart but also allows its technology to sidestep China’s strictest AI regulations, which heavily govern consumer-facing tech. By staying out of the spotlight of direct consumer applications, DeepSeek has carved a unique niche in the AI industry.

    DeepSeek – Mission and Vision

    Mission
    DeepSeek’s mission is to redefine how high-performing AI models are developed by leveraging innovative training techniques and cost-effective resources. By utilizing less-advanced chips and pioneering new approaches to model training, DeepSeek aims to make advanced AI accessible, efficient, and affordable, driving progress in artificial intelligence without the need for cutting-edge hardware.

    Vision
    DeepSeek envisions becoming a global leader in AI innovation, setting a benchmark for building powerful yet cost-efficient AI systems. The company aspires to revolutionize the AI landscape by proving that excellence can be achieved through ingenuity and resourcefulness, shaping a future where AI is both impactful and sustainable.

    DeepSeek Logo
    DeepSeek Logo

    DeepSeek – Business Model

    DeepSeek is shaking up the AI world with its large language models (LLMs) that compete head-to-head with industry giants like OpenAI, Google, and Meta. Despite hurdles such as chip export restrictions, the company has achieved extraordinary milestones, raising questions about the future of AI development and its underlying technologies.

    In December 2024, DeepSeek launched an LLM that performed on par with OpenAI’s models, capturing the industry’s attention. Just a month later, in January 2025, the company revealed another model, claiming it was developed at a fraction of the cost of its competitors. These breakthroughs, driven by open-source technology and groundbreaking training techniques, have left Wall Street analysts speculating about DeepSeek’s unique approach and its potential to disrupt the AI market.

    What sets DeepSeek apart is its ability to deliver high-performing AI systems without relying on advanced, high-cost chips. This has sparked a larger conversation about whether the demand for high-end semiconductors, a critical factor in the success of companies like Nvidia, will remain as strong as before. DeepSeek’s success demonstrates that innovation and resourcefulness may now play a more significant role in shaping the future of AI than access to the most cutting-edge hardware.


    Success Story of OpenAI- The Makers of the ChatGPT
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    DeepSeek – Revenue Model

    DeepSeek, initially known for its prowess in quantitative trading and algorithm development, has leveraged its expertise in mathematics, optimization, and resource management to make waves in the AI industry. By repurposing its extensive GPU infrastructure—originally intended for trading and mining—DeepSeek has efficiently trained and deployed its AI models, including the groundbreaking DeepSeek R1, at a fraction of the cost of its competitors.

    The release of models like DeepSeek V3 and R1 as open-source and open-weights has been a game-changer for the AI industry. This bold move directly challenges major players like OpenAI and Claude, who have invested billions into proprietary models and infrastructure. By making its models freely accessible, DeepSeek has enabled anyone to reproduce and utilize its technology, shifting the focus from monetization to industry disruption and influence.

    While the models themselves are free, DeepSeek offers a highly affordable API for running the models, making advanced AI accessible to a broader audience. This low-cost strategy could attract a significant user base, allowing the company to generate revenue through scale. Additionally, DeepSeek’s innovative techniques for efficient training and inference ensure that the company can sustain its low-cost offerings while remaining profitable.

    By disrupting traditional AI business models and democratizing access to advanced AI technology, DeepSeek is not just reshaping the AI landscape—it’s redefining how innovation and efficiency can drive both accessibility and profitability.

    DeepSeek – Challenges Faced

    While DeepSeek’s rise in the AI industry has been impressive, its disruptive approach has not come without significant challenges.

    Industry Disruption and Competition

    By releasing its V3 and R1 models as open-source with open weights, DeepSeek has upended the AI industry, challenging established players like OpenAI and Claude. These competitors have poured billions into proprietary models and infrastructure, creating a stark contrast to DeepSeek’s accessible, low-cost offerings. While this strategy has earned DeepSeek praise, it has also sparked intense competition and scrutiny. Critics question whether DeepSeek’s open-source model can sustain long-term innovation and profitability in the face of giants with vast resources.

    Cybersecurity Threats

    DeepSeek has also faced direct threats in the form of large-scale cyberattacks. These attacks have temporarily forced the company to limit user registrations as it works to assess the extent of the damage and implement precautionary measures. The company’s website even issued a public notice, acknowledging “large-scale malicious attacks” that are disrupting its services. While DeepSeek has not disclosed specific details about the nature of these attacks, the situation highlights the vulnerabilities faced by tech companies, particularly those that challenge established norms.

    Operational Strain

    As its low-cost AI models continue to gain global attention, DeepSeek is grappling with the operational strain of handling increased demand while dealing with ongoing security challenges. The surge in interest, coupled with malicious attacks, has made it difficult for new users to access its services, potentially stalling its growth momentum.

    DeepSeek’s Chinese origins also add a layer of complexity in navigating global markets, particularly as geopolitical tensions and concerns over data security influence public perception and industry partnerships. The company’s reliance on innovative, cost-effective strategies may face skepticism in regions where proprietary systems are the norm.

    DeepSeek – Online and Social Media Presence

    Social Media Buzz and Public Reaction

    DeepSeek AI has taken the online world by storm, rapidly gaining traction across social media and app stores. On the Apple App Store, it has even outpaced OpenAI’s ChatGPT in popularity, thanks to its promise of delivering high-quality AI capabilities at a fraction of the cost of major US tech giants.

    Viral Hype and Memes

    DeepSeek Memes
    DeepSeek Memes

    The launch of DeepSeek-R1 has triggered a wave of online discussions, with social media flooded with reactions ranging from excitement to humor. Users have shared memes and witty commentary on the model’s unexpected rise, playfully mocking how it has disrupted the AI industry and forced competitors to rethink their pricing strategies.

    Strong Presence Across Platforms

    DeepSeek AI is aggressively promoting its models—V3, R1, and Janus-Pro-7B—on platforms like X (formerly Twitter), WeChat, and Reddit. The company’s marketing efforts emphasize its ability to challenge the status quo, making AI more accessible and affordable.

    Community-Driven Growth

    Unlike many closed-source AI projects, DeepSeek’s open approach has fueled community engagement. Developers, researchers, and enthusiasts have actively discussed the potential of its open-weight models, further amplifying its reach.

    With its mix of affordability, performance, and viral appeal, DeepSeek AI is proving that a well-executed disruption can capture both market share and cultural attention.

    DeepSeek – Competitors

    DeepSeek AI’s rapid rise has disrupted the AI landscape, challenging traditional business models and sending shockwaves through the market. Its low-cost, open-source approach threatens established players who rely on expensive, proprietary AI models. As competition heats up, major tech firms are being forced to rethink their strategies.

    Key Competitors:

    DeepSeek – Future Plans

    DeepSeek AI is making waves in the global AI landscape, proving that cutting-edge models don’t require billions in funding. With its latest release, DeepSeek V3, the company has positioned itself as a serious contender against industry giants like OpenAI and Meta, delivering impressive performance at a fraction of the usual cost.

    • Competitive Performance: DeepSeek V3 excels in text comprehension, coding, and problem-solving, matching leading AI models.
    • Unmatched Cost Efficiency: Trained using just 2.78 million GPU hours ($5.58M), far less than Meta’s 30.8 million GPU hours.
    • Breakthrough Technology: Leverages Multi-Head Latent Attention (MLA) and Mixture-of-Experts (MoE) to optimize speed and memory use.
    • Open-Source Approach: By making its models publicly available, DeepSeek fosters innovation and accessibility in AI development.

    FAQs

    What is DeepSeek?

    DeepSeek is a Chinese artificial intelligence company that develops open-source large language models (LLMs).

    Who is the founder of DeepSeek?

    Liang Wenfeng is the founder and CEO of DeepSeek.

    When was DeepSeek founded?

    DeepSeek was founded in 2023.

    Is DeepSeek a Chinese company?

    Yes, DeepSeek is a Chinese company headquartered in Hangzhou, Zhejiang, China.

  • National Startup Day 2025: Insights from Founders on How AI is Shaping the Future of India’s Startup Ecosystem

    National Startup Day, celebrated on January 16th in India, is a day to honour the growth and success of the country’s startup ecosystem. Since the launch of ‘Startup India’ in 2016, the number of DPIIT-recognised startups has grown from around 500 to over 1,59,157 as of January 2025. This makes India the third-largest startup hub in the world. The theme for this year, “Let’s shape the future together—one innovative idea at a time,” reflects the spirit of collaboration driving the country’s entrepreneurs. 

    In the spirit of this occasion, StartupTalky connected with various founders and industry experts to gather their views on one of the hottest topics these days—AI. AI has been a major conversation point in industries across the globe. We asked founders about its growing impact and how their businesses are adapting to it. Many shared how AI will reshape their sectors in the next few years. They also spoke about how their startups are embracing AI and driving innovation.

    Let’s see what they have to say.

    AI Revolutionising Healthcare Financing and Patient Care

    Vikrant Agrawal, Co-Founder of Care.fi, highlighted how AI is set to revolutionize healthcare financing over the next three years by automating complex processes, enhancing decision-making, and improving resource efficiency. Key advancements will likely include predictive analytics for financial risk management, real-time revenue insights, and fully integrated systems for patient care.

    Care.fi is already at the forefront of this transformation. Our AI-powered RCM platform, RevNow, exemplifies how automation can streamline insurance claims processes, reduce claim rejections, and ensure real-time cash flow reconciliation. By automating tedious tasks, hospitals can focus more on patient care and less on administrative burdens.

    Sahil Lakshmanan, Chief Business Officer of CarePal Money, emphasised that AI is redefining healthcare financing by simplifying application processes, enhancing decision-making, and fostering financial inclusion. It enables one-click loan applications, real-time document verification through digital integration (e.g., Aadhaar and PAN via India Stack), and instant approvals powered by data-driven algorithms. Patients benefit from tailored solutions as AI adapts credit scoring to non-traditional factors like medical emergencies and irregular income streams.

    CarePal Money leads this transformation by leveraging AI for custom risk profiling, smart recommendations, and 24/7 real-time assistance through virtual assistants. AI-driven multilingual interfaces and region-specific options ensure accessibility for underserved communities. By aligning financing options with patient needs and streamlining hospital interactions, we create a more inclusive and efficient healthcare ecosystem powered by AI.

    Karan Arora, Co-Founder of One Health Assist, pointed out that AI will run two parallel tracks at One Health Assist—helping doctors understand patient history in detail and providing consumers with AI-driven care solutions that improve risk detection and focus on prevention. He said, “We aim to offer personalized care solutions that respond to users’ health changes, promoting lasting wellness. As AI develops, we plan to keep up by including new technologies that improve participation and results, making preventive healthcare easier to access and more accurate for all.”


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    AI Reshaping Anti-Counterfeiting Technologies

    Padmakumar Nair, CEO and Founder of Ennoventure Inc., highlighted that AI is set to restructure anti-counterfeiting. In the next 3 years, we anticipate AI enhancing our encryption algorithms, making them even more robust and secure against sophisticated counterfeiters. Advanced machine learning techniques will play a crucial role in identifying subtle patterns and anomalies associated with counterfeit products. Ennoventure’s focus lies in leveraging AI to improve the accuracy and speed of authentication, enhance data analytics and predict potential counterfeiting threats proactively.

    Transforming HRMS with AI

    Sayeed Anjum, Co-Founder and CTO of greytHR, discussed how AI is transforming the HRMS industry by reshaping talent management, employee engagement, and operational efficiency. It enables hyper-personalized experiences by intuitively adapting to individual needs while automating routine tasks and leveraging analytics for data-driven decisions.

    Anjum said, “At greytHR, we’ve already integrated AI into our full-suite HRMS solution, which manages the entire employee lifecycle. Here are our most widely used AI-enabled features:

    • An AI-powered chatbot that streamlines employee query resolution and is already being used by lakhs of users.
    • AI-driven recommendations to enhance employee engagement and improve the feedback processes.”

    Empowering Automation with AI

    Neerja Kumar, Co-Founder and COO of Enalytix, discussed how AI will drive deeper automation, predictive insights, and smarter decision-making. Advancements in machine learning, computer vision, and natural language processing will allow businesses to unlock new efficiencies, improve personalization, and enhance operational agility.

    “At Enalytix, we are at the forefront of this evolution, developing new AI architectures and models that leverage both Edge AI and cloud technologies. This approach enables real-time insights without relying on constant internet connectivity—ideal for the Indian market and other similar regions. Our hardware-agnostic solutions and ability to install remotely provide scalability, making it easier for businesses to harness the power of AI across diverse environments,” said Kumar.


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    AI Shaping the Future of Enterprise

    Animesh Samuel, Co-Founder and CEO of E42.ai, spoke about how AI is set to redefine enterprise automation, with agentic AI following a similar path to the mainstream success of generative AI. While generative AI has transformed industries by solving problems creatively and producing new content, agentic AI is poised to take automation to the next level by enabling systems to act autonomously and make informed decisions. This evolution will empower businesses to shift from reactive to proactive automation creating smarter, self-directed workflows.

    At the heart of this transformation is E42, enabling enterprises to seamlessly adopt scalable, no-code AI co-workers that integrate intelligence into workflows, paving the way for operational excellence.

    Revolutionising Music Licensing

    Gaurav Dagaonkar, Co-founder & CEO of Hoopr shared that AI is shaking things up in music licensing! Soon, we’ll see AI streamlining things like contracts and royalty tracking, making the whole process smoother. Imagine AI suggesting the perfect song for your project – that’s happening too!

    “At Hoopr, we’re embracing this change. We’re building AI tools to help our users find the right music faster, and we’re streamlining our own licensing process with AI. We’re also using AI to understand our users better and improve their experience. Basically, we’re using AI to make music licensing easier and more efficient for everyone involved,” said Dagaonkar.

    AI Transforming the Lending Sector

    Eklavya Gupta, Co-Founder and CEO of Recur Club, discussed how AI is transforming the lending sector. He highlighted, ” Lending is one of the oldest industries, and I believe AI will accelerate it at an unprecedented pace. India remains a highly underserved market for credit, and AI will help build the technology infrastructure needed to cater to the unique credit requirements of diverse business models.

    We’ve worked hard to rethink our internal processes using AI, and we’ve already seen significant efficiency improvements in data collection and underwriting. AI equips us with the intelligence to stay ahead of evolving business models, while for our customers, it unlocks faster access to more tailored credit solutions.”

    Advancing Electric Vehicles with AI

    Nemin Vora, Founder and CEO of Odysse Electric Vehicles, discussed the potential of AI to drive advancements in EV performance, predictive maintenance, smart manufacturing, and customer support.

    In the next three years, Artificial Intelligence (AI) will have a transformative impact on the electric vehicle (EV) industry, driving significant advancements across multiple areas. For end customers, AI will enhance Vehicle Performance and Efficiency along with Predictive Maintenance and Diagnostics, offering a more comfortable, efficient, and safer driving experience while enabling optimal use of their EVs.

    From a manufacturing perspective, AI will play a pivotal role in Smart Manufacturing and Supply Chain Optimization, allowing for more efficient production processes, improved quality & cost control, and faster delivery. Additionally, AI-driven After-Sales Customer Support features will streamline service processes, improving customer satisfaction and fostering long-term brand loyalty.

    Together, these innovations will make electric vehicles a more attractive and seamless choice for consumers, positioning AI as a key driver in the widespread adoption of EVs in the coming years.

    “We view AI as a key enabler in our strategy to accelerate the adoption of electric mobility, and we are focused on leveraging this technology to deliver innovative products, improve sustainability, and enhance the overall customer experience,” said Vora.

    AI Enhancing Language Learning

    Arpit Mittal, Founder and CEO of SpeakX, shared, “AI is already reshaping education, but we are just scratching the surface. In the next three years, I see it becoming a personal coach for every learner—offering immersive, real-time feedback that feels almost human. At SpeakX, we are driving this shift by combining AI with human insight to create tools that are not only smarter but also more empathetic. Whether it’s practicing for a job interview or perfecting pronunciation, we’re committed to making language learning more accessible, faster, and even enjoyable.”

    AI’s Role in Edu-Fintech Industry

    Rohit Gajbhiye, Founder and MD of LEO1 highlighted that AI will revolutionize the edu-fintech industry in the next three years by automating processes, enabling personalized financial solutions, and enhancing institutional efficiency. It will empower educational institutions with predictive analytics for cash flow and fee management while offering parents tailored payment plans and spending insights.

    “At LEO1, we are integrating AI to provide real-time tracking, personalized rewards, and advanced financial literacy tools, ensuring smarter financial management for families and institutions. By driving this innovation, we are shaping a more efficient, transparent, and accessible education ecosystem.” said Gajbhiye.

    Apparel Sourcing with AI

    Abhishek Dua, CEO and Co-Founder of Showroom B2B talked about how AI is set to disrupt the apparel sourcing industry over the next three years, reshaping it with advanced automation, predictive analytics, and real-time decision-making capabilities. By leveraging machine learning algorithms and big data, AI will revolutionize demand forecasting, analyzing historical trends, sales patterns, and external market factors to optimize inventory and production cycles, reducing inefficiencies like overproduction and stockouts.

    Dua shared, “At Showroom B2B, we are embedding these advanced technologies into our ecosystem. Our advanced supply chain management platform utilizes AI-driven forecasting and intelligent automation to streamline operations, while our data-driven partner allocation strategy ensures optimal supplier matching based on capacity, compliance, and historical performance. Moreover, our AI-powered predictive analytics will enhance supply chain visibility, providing real-time insights into production, compliance, and logistics, enabling proactive interventions and optimized resource allocation.”

    The Future of Cloud Security and AI

    Saurabh Bhardwaj, CEO of VergeCloud, discussed how AI will transform CDN, cybersecurity, and edge computing, enabling real-time decision-making, predictive threat detection, and hyper-personalized experiences. This evolution creates opportunities for entrepreneurs to address challenges like latency and cyber-resilience, fostering scalable, AI-driven solutions. VergeCloud remains a catalyst, empowering startups to shape India’s digital future and drive global innovation.

    Personalising Retail with AI

    Varun Tangri, Founder and CEO of QueueBuster, highlighted that in the next three years, artificial intelligence will disrupt sectors by increasing customer convenience and personalisation. AI-powered CRM connected with Android POS systems will transform retail customer interactions by allowing for real-time, personalised suggestions based on transaction history and preferences. This system enhances product discovery, boosts conversion rates, and lowers customer turnover through quick interventions and customised incentives.

    Furthermore, AI integration decreases operational costs by automating procedures, optimising stock management, and anticipating customer flow to optimise manpower. Businesses that use AI gain a competitive advantage, boost customer loyalty, and increase ROI through data-driven initiatives and seamless customer experiences.

    AI Empowering Blue-Collar Industries

    Nilesh Dungarwal, Co-Founder and CEO of WorkIndia, shared how AI will empower blue-collar industries by automating tasks in manufacturing, logistics, and construction, while also creating new opportunities through upskilling.

    Dungarwal said, “Artificial Intelligence (AI) will significantly influence blue-collar industries by automating tasks in sectors like manufacturing, logistics, and construction. While this may lead to job displacement in some areas, it also presents opportunities for increased productivity and the creation of new roles. Upskilling and reskilling the workforce will be crucial to prepare workers for AI-driven changes.

    Our startup is actively propagating skill development programs that empower workers to adapt to technological advancements. By equipping individuals with skills that complement AI, we aim for a future where innovation and meaningful livelihoods coexist seamlessly.”


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  • The University of Cambridge and India’s Infosys Collaborate to Establish an AI lab in London

    The new and extended Living Labs, which are a part of a worldwide network of more than 12 existing facilities, were recently launched by Indian technology company Infosys. These labs will assist clients in accelerating innovation and utilising emerging technologies to future-proof their businesses.

    The Bengaluru-based business also revealed plans to open a new AI lab in partnership with the University of Cambridge. The lab wants to use AI to its full potential so that it can benefit students, clients, and academics. The opening of the Living Labs was celebrated with a tour of the facility and a live demonstration of its capabilities by Feryal Clark, the UK’s Minister for Digital Government and AI, Professor Colm-cille Caulfield, the head of the University of Cambridge’s Department of Applied Mathematics and Theoretical Physics, and more than 100 guests, including clients and partners.

    Strengthening the Digital Transformation               

    The Infosys Living Labs are situated in Canary Wharf, a famous banking area in London. For customers and partners, the lab will facilitate the integration of digital technology, business insights, and human experience.

    As a centre for innovation, it will assist in utilising frameworks, digital experiences, solution accelerators, and industry solutions to generate, prototype, and test innovative concepts. Enterprise AI will be the main emphasis of the lab, where clients can observe AI-driven digital transformation in action. These include Infosys Cobalt, a cloud-based solution that helps businesses create scalable and reliable digital infrastructures, and Infosys Topaz, an AI-first offering that uses generative AI technology.

    Helping in Forming Digital Transformation Strategies

    Infosys Living Labs will assist businesses in developing and executing their digital transformation plans by providing interactive demos, workshops, and one-on-one consultations. In order to solve real-world difficulties, the education and research partnership with the University of Cambridge to create a joint AI Lab will leverage both Cambridge University’s top-notch teaching and research skills and Infosys’ industry experience and real-world AI application.

    According to the company’s statement, the new lab will also serve as a catalyst for innovative and cutting-edge research projects. The London Living Labs and the AI Lab are located in Infosys’ brand-new, cutting-edge facilities, which span 25,000 square feet and can accommodate 200 workers.

     According to Tarang Puranik, executive vice president and head of delivery for Europe at Infosys, London is home to some of the most innovative and disruptive businesses in the world. According to him, the new lab and collaboration with Cambridge University strengthen Infosys’s “dedication to play a significant role in London’s technological advancement.”

    According to Feryal Clark, the UK’s Minister for Digital Government and AI, the government is using AI as the cornerstone of its strategy to “kickstart economic growth.” According to Clark, she witnessed firsthand how Infosys’ new London location will help researchers and organisations make the most of this technology in ways that will spur innovation and produce outcomes nationwide.


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  • Empowering the Future: Tapan Sangal Shares How MAI Labs is Redefining Digital Accessibility

    In this exclusive interaction with StartupTalky, Mr. Tapan Sangal, the founder of MAI Labs, shares about his passion for technology which can make a fair digital world. Inspired by the potential of decentralization, Mr. Sangal shares how MAI Labs is breaking down barriers through its innovative KALP blockchain platform and the revolutionary MY IPR tool for managing intellectual property. He shared his opinions on blockchain & AI, where in the future technology will be available to everyone. As MAI Labs continues to push boundaries, Mr. Sangal’s ideas shine through.

    StartupTalky: What inspired you to launch MAI Labs and focus on the next Internet?

    Mr. Sangal: The inspiration behind launching MAI Labs stemmed from a strong belief in technology’s transformative power and its potential to create a more equitable and efficient digital world. We recognized that, despite the immense advances in technology, access to these innovations remained limited, particularly in sectors where complexity and regulatory challenges hinder widespread adoption.

    Our vision for MAI Labs was to bridge this gap by simplifying advanced technologies and making them more accessible. This journey led us to focus on creating a new era of the Internet—one that moves beyond the limitations of centralized systems toward a decentralized, secure, and user-controlled digital ecosystem. Our goal is to empower users by giving them greater ownership over their digital assets, data, and interactions, enabling a truly democratic digital infrastructure.

    MAI Labs seeks to incubate deep-tech solutions that drive this transition, and our approach is grounded in regulatory compliance, scalability, and accessibility. We aim to lead the development of public digital infrastructure for the decentralized Internet, positioning MAI Labs as a key player in reshaping how people interact with technology.

    StartupTalky: How does KALP, MAI Labs’ flagship product, differentiate itself from other blockchain platforms in terms of democratising digital infrastructure?

    Mr. Sangal: KALP stands out as a blockchain platform that truly democratizes digital infrastructure. While many platforms offer decentralized solutions, KALP takes it a step further by integrating regulatory compliance directly into its architecture. This ensures that all participants on the network are verified, enhancing trust and security—a critical aspect for the regulated tokenization of real-world assets (RWA).

    What sets KALP apart is its comprehensive approach to decentralized public infrastructure. It provides a secure, high-performance platform with features like multi-chain mastery, enabling interoperability across multiple blockchains with simultaneous block finality. Additionally, KALP ensures user sovereignty by granting users full control over their private keys, making it a user-centric blockchain experience.

    Another key differentiator is the strategic deployment of physical and cloud-based nodes across the globe, ensuring true decentralization and preventing any single entity from controlling the network. KALP’s coalition model further enables partners to host nodes in their locations, expanding the platform’s reach and robustness.

    With a suite of tools, including KALP-Insight, which provides advanced analytics and monitoring, KALP not only democratizes digital infrastructure but also offers actionable insights for participants to make informed decisions.

    StartupTalky: How does MAI Labs’ MY IPR platform transform intellectual property management?

    Mr. Sangal: MY IPR, a revolutionary platform developed by MAI Labs, is the world’s first Intellectual Property Rights (IPR) management cloud designed to transform how creators, inventors, and businesses manage, protect, and monetize their intellectual property. Traditional IP management processes are often fragmented, inefficient, and costly. MY IPR addresses these challenges by providing a fully integrated digital platform that simplifies the process from registration to monetization.

    By leveraging blockchain technology, MY IPR ensures immutability and transparency in intellectual property management. Creators and inventors can securely register their IP assets with instant verification, reducing the risk of infringement. The platform’s assetization feature allows IP to be tokenized, creating new opportunities for creators to monetize their intellectual property by trading and sharing royalties seamlessly.

    Moreover, MY IPR offers tools for analytics and insights, empowering users to track the performance of their IP assets in real-time. This data-driven approach transforms IP from a static legal protection into a dynamic, revenue-generating asset. Ultimately, MY IPR democratizes IP management, making it accessible, secure, and efficient for creators across various industries.

    Mr. Sangal: Over the next five years, we expect blockchain and artificial intelligence (AI) to converge, creating transformative impacts across various industries. Here are some of the key trends that will shape the future of technology:

    Blockchain-AI Convergence: The integration of blockchain’s security and transparency with AI’s analytical power will drive new, trust-based business models. Blockchain will enable secure data sharing between AI systems, enhancing the reliability and accuracy of AI predictions. This convergence will fuel advancements in sectors like healthcare, finance, and supply chain, where both trust and data integrity are paramount.

    Data Privacy and Security: With the rise of data breaches and privacy concerns, the fusion of blockchain and AI will create robust solutions for protecting sensitive information. Blockchain’s decentralized nature, combined with AI’s ability to monitor and detect threats in real time, will ensure enhanced security for personal data, particularly in regulated industries such as healthcare and finance.

    Decentralized Autonomous Organizations (DAOs): As blockchain adoption grows, DAOs will emerge as a significant trend, enabling communities and businesses to operate without centralized leadership. AI will play a key role in automating the decision-making processes within DAOs, improving efficiency and transparency in governance. 

    AI-Enhanced Blockchain Operations: AI will streamline and optimize blockchain operations, from consensus mechanisms to smart contract execution. By automating complex processes, AI will make blockchain technology more efficient and scalable, supporting its adoption across global industries.

    These trends will not only drive innovation but also redefine how industries operate, creating new opportunities for businesses and society to thrive in a decentralized and intelligent world.

    StartupTalky: What role do you see AI playing in MAI Labs’ future projects?

    Mr. Sangal: At MAI Labs, AI is poised to play a pivotal role in driving operational efficiency and enhancing the performance of various solutions across our product portfolio. We see AI as an indispensable tool in automating processes that require large-scale data analysis, fraud detection, and real-time monitoring. By integrating AI into our platforms, we can deliver faster, more reliable results in sectors like finance, healthcare, and real estate, where precision and speed are essential.

    However, while AI will augment efficiency in repetitive or high-volume tasks, MAI Labs remains committed to keeping the creative and strategic aspects of our projects human-centric. We believe that true innovation stems from human creativity, which cannot be fully replicated by algorithms. AI will serve as a powerful enabler in tasks like data processing, compliance checks, and smart contract management, allowing our teams to focus on more complex, high-value work such as strategy development, design, and user experience.

    In future projects, we envision AI playing a critical role in our decentralized infrastructure, particularly in optimizing smart contract execution, personalizing user experiences within immersive environments, and enabling predictive analytics. By harnessing AI, MAI Labs will be able to scale faster while maintaining a high standard of quality, security, and compliance.

    Mr. Sangal: MAI Labs has been a pioneer in integrating blockchain technology within established legal frameworks, making compliance a core component of our blockchain infrastructure. The decentralized nature of blockchain often raises concerns about regulation and legal enforceability, but MAI Labs addresses this by embedding legal standards directly into our smart contracts and blockchain protocols.

    Our flagship product, KALP, is built with a “regulatory by design” approach. We collaborate closely with legal experts to ensure that all transactions and interactions within the KALP ecosystem are compliant with global regulations, such as Anti-Money Laundering (AML), Know Your Customer (KYC), and data protection standards like the General Data Protection Regulation (GDPR). This allows users to engage in blockchain activities with confidence, knowing that their operations are fully compliant with relevant legal requirements.

    Moreover, our Legal and Grievance Layer provides a unique mechanism for users to enforce legal rights and pursue remedies in the event of disputes or irregularities. By embedding legal terms and conditions into the blockchain’s code, we ensure that smart contracts are legally binding and enforceable in traditional legal systems. This integration of blockchain with legal frameworks not only enhances the trust and reliability of our digital infrastructure but also sets a new standard for how decentralized systems can coexist with established legal norms.

    StartupTalky: What challenges did you face while developing KALP, and how did you overcome them?

    Mr. Sangal: Developing KALP presented several significant challenges, which we addressed through innovation, collaboration, and a focus on regulatory compliance. One of the major challenges was balancing decentralization with regulatory adherence. In a decentralized blockchain, ensuring that participants and transactions meet global regulatory standards such as KYC, AML, and GDPR requires advanced protocols that don’t compromise the blockchain’s decentralized nature. We overcame this challenge by embedding compliance directly into the core architecture of KALP, creating a platform that aligns with regulations without sacrificing decentralization.

    Another challenge was scalability. Blockchain platforms often struggle with transaction speed and throughput, which can limit their ability to handle large volumes of data and real-time operations. We solved this by building KALP with multi-chain capabilities and parallel processing, which allows multiple chains to run concurrently and achieve block finality simultaneously. This architecture drastically improves scalability, enabling KALP to support a high volume of transactions without slowing down.

    Interoperability with other blockchains was also a crucial hurdle. To ensure that KALP could function seamlessly with other blockchain ecosystems, we developed an innovative approach to multi-chain mastery, allowing KALP to interact with various blockchain networks while maintaining security and performance integrity.

    Through continuous innovation and strategic partnerships, we addressed these challenges and built KALP into a platform that is scalable, compliant, and interoperable—setting new benchmarks for blockchain technology.

    StartupTalky: How do you envision Central Bank Digital Currencies (CBDCs) impacting global finance?

    Mr. Sangal: Central Bank Digital Currencies (CBDCs) represent a transformative shift in global finance, offering the potential to modernize monetary systems, increase financial inclusion, and enhance the efficiency of cross-border payments. We envision CBDCs becoming a key component of the global financial infrastructure, driving both innovation and regulation in the digital asset space.

    CBDCs will likely streamline transactions by reducing the reliance on intermediaries, which can make payments faster, cheaper, and more transparent. The programmability of digital currencies will enable central banks to implement monetary policies more effectively and with greater precision. For example, smart contracts could automate conditional payments, such as stimulus distributions, or enforce compliance with tax obligations in real-time.

    Additionally, CBDCs could play a vital role in financial inclusion. By providing a digital currency accessible through mobile devices, central banks can reach unbanked populations in regions where traditional banking infrastructure is limited. This could democratize access to financial services and reduce barriers to entry for individuals and businesses in emerging markets.

    However, the adoption of CBDCs will also raise important questions about privacy, cybersecurity, and the balance between centralization and decentralization. The integration of CBDCs with existing financial systems will require robust regulatory frameworks and a clear approach to protecting user privacy while maintaining transparency.

    At MAI Labs, we see CBDCs as a significant opportunity for the tokenization of real-world assets (RWA) and decentralized finance (DeFi), where they could serve as a stable, government-backed asset within decentralized ecosystems. This will foster trust in blockchain-based financial systems and accelerate the adoption of decentralized finance on a global scale.


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    StartupTalky: What opportunities do you see in combining blockchain and AI?

    Mr. Sangal: The combination of blockchain and AI presents transformative opportunities across multiple industries, enhancing both technological capabilities and business processes. At MAI Labs, we believe that integrating blockchain’s secure, transparent ledger system with AI’s predictive power can unlock new levels of efficiency, innovation, and trust.

    Enhanced Data Security and Privacy: One of the key opportunities lies in data privacy and security. Blockchain’s decentralized nature ensures that data is stored immutably and securely, while AI can analyze this data to detect patterns and anomalies. This combination can be particularly powerful in industries like healthcare and finance, where sensitive data requires both protection and insight. AI can process encrypted data on the blockchain without compromising security, enabling insights without exposing sensitive information.

    Automated Smart Contracts: Blockchain smart contracts are self-executing contracts with the terms directly written into code. AI can optimize these contracts by automating decision-making processes based on real-time data, ensuring the contracts adapt to changing conditions. This creates a dynamic environment where complex business processes can be automated, reducing human intervention and errors while improving efficiency.

    Supply Chain Optimization: In logistics and supply chain management, AI can enhance blockchain’s tracking capabilities by predicting supply chain disruptions and recommending alternatives in real-time. The immutability of blockchain ensures that every action taken is recorded transparently, while AI provides the intelligence to optimize routes, manage inventory, and improve overall efficiency.

    Personalized Financial Services: AI’s ability to analyze large datasets can enable the personalization of financial services, such as investment strategies or credit scoring, by analyzing user behavior and financial history. Blockchain ensures that these processes are transparent and secure, fostering trust between financial institutions and their customers.

    Together, blockchain and AI represent a powerful combination that can create smarter, more secure systems across industries, driving new business models and reshaping the future of technology.

    StartupTalky: What is the MayaaVerse project, and how does it align with MAI Labs’ vision for future technology?

    Mr. Sangal: MayaaVerse is dedicated to delivering more than just a concept—it’s a comprehensive immersive technology platform embedded with AI, accessible to everyone. By empowering individuals and organizations to create, experience, and monetize in unprecedented digital environments, MayaaVerse is setting new standards in immersive experiences.

    MayaaVerse represents a milestone in MAI Labs’ mission to redefine human-computer interaction and unlock creativity within immersive environments. This advancement marks the next stage of interaction—a seamless fusion of the physical and digital worlds. Our goal is to revolutionize the creator economy by offering an innovative platform that empowers creators to develop, collaborate, and monetize their digital content in new and transformative ways using immersive technologies and AI. Given the immense potential we see, we are confident in our decision to make a significant investment in this technological arena.

    StartupTalky: How do you ensure the technology developed at MAI Labs is accessible and inclusive?

    Mr. Sangal: At MAI Labs, accessibility and inclusivity are foundational principles that guide the development of all our technologies. We believe that advanced digital infrastructure should be available to everyone, regardless of their technical expertise, geographic location, or economic background. To achieve this, we take a multi-faceted approach:

    User-Centric Design: Our platforms, such as KALP and MayaaVerse, are designed with a user-friendly interface that simplifies complex technologies like blockchain, AI, and immersive experiences. This lowers the barrier to entry for individuals and businesses unfamiliar with deep-tech solutions. For instance, KALP Studio provides developers and non-developers alike with intuitive tools for creating and managing decentralized applications (dApps) without requiring advanced programming skills.

    Scalability and Customization: MAI Labs’ technology stack is scalable and customizable to meet the needs of both small businesses and large enterprises. We offer white-label solutions, enabling startups and entrepreneurs to build on our technology with minimal upfront investment. This inclusive approach allows businesses of all sizes to access cutting-edge infrastructure without the burden of heavy financial commitments.

    Global Reach: Our decentralized architecture, particularly in products like KALP, ensures that our solutions can be deployed and managed globally, overcoming traditional geographic limitations. Additionally, we partner with local entities to provide localized support and resources, making it easier for users in different regions to adopt and benefit from our technology.

    Regulatory Compliance: Ensuring compliance with global regulations is critical to making our technology accessible. By integrating legal frameworks and compliance measures into our platforms, we provide a safe and secure environment for users, which is particularly important in regions with stringent regulatory requirements.

    Ongoing Education and Support: We are committed to educating users about the potential of our technology through workshops, training programs, and community engagement. By providing technical support and fostering knowledge-sharing, we ensure that more people can take advantage of our platforms.

    Through these efforts, MAI Labs is democratizing access to deep-tech innovations, ensuring that everyone-regardless of their background-can participate in and benefit from the next generation of digital infrastructure.

    StartupTalky: How do you balance innovation with security in your products?

    Mr. Sangal: At MAI Labs, security is at the core of everything we build, and we have developed a robust framework to ensure that our innovations are both cutting-edge and secure. Balancing innovation with security requires a thoughtful, layered approach that integrates the latest advancements in technology with industry-best security practices.

    Blockchain Security Architecture: Our proprietary blockchain, KALP, is designed with multiple layers of security, including cryptographic protocols, decentralized governance, and real-time transaction monitoring. By embedding compliance with global security standards, such as GDPR, AML, and KYC, directly into the blockchain, we ensure that security is never compromised, even as we innovate.

    Smart Contract Audits: We conduct rigorous audits of all smart contracts deployed on the KALP platform. These audits ensure that our smart contracts are secure, preventing vulnerabilities that could be exploited by malicious actors. This focus on security does not slow down innovation but rather strengthens it by building trust in the reliability and safety of our systems.

    Legal and Grievance Layer: One of the key innovations we’ve implemented is the Legal and Grievance Layer in our blockchain. This layer allows for legal recourse in the event of disputes or irregularities, providing an additional level of protection for users. By integrating a security-first approach with a legal framework, we ensure that our users are protected from both technical and legal threats.

    Continuous Monitoring and AI Integration: Our use of AI for real-time monitoring and fraud detection enhances the security of our platforms. By continuously scanning for anomalies and potential threats, we can identify and mitigate risks as they emerge. This proactive approach ensures that security evolves alongside our innovations, keeping our platforms resilient in the face of new challenges.

    Privacy by Design: We take a privacy-first approach to product development, ensuring that all user data is protected by encryption and secure storage mechanisms. Additionally, our platforms provide users with full control over their private keys, ensuring that they maintain ownership and control over their digital assets.

    In summary, we prioritize security at every stage of product development, from design to deployment, while fostering an environment of continuous innovation. This allows us to build advanced, scalable solutions that users can trust.

    StartupTalky: What are your thoughts on the future of digital ownership and intellectual property?

    Mr. Sangal: The future of digital ownership and intellectual property (IP) is set to be revolutionized by blockchain technology, with platforms like our MY IPR playing a pivotal role. As digital content continues to grow exponentially, the need for secure, transparent, and immutable systems to protect and manage digital assets becomes paramount. Blockchain provides a decentralized framework where creators can assert ownership, track usage, and monetize their digital intellectual property without intermediaries.

    One of the most significant shifts we anticipate is the tokenization of IP. By transforming intellectual property rights into digital tokens, creators will have more control over how their work is distributed and monetized. This tokenization will allow for fractional ownership, where multiple stakeholders can hold shares in a piece of intellectual property, enabling new revenue models for creators, including micro-royalties and automated payments via smart contracts.

    StartupTalky: What global markets are you focusing on next for MAI Labs?

    Mr. Sangal: MAI Labs is strategically focusing on expanding into several high-potential global markets that are primed for blockchain adoption and immersive technology solutions. Our next phase of growth will target regions with favorable regulatory environments, growing demand for decentralized solutions, and established digital infrastructure.

    Middle East and North Africa (MENA): The MENA region, particularly countries like the UAE and Qatar, is rapidly becoming a hub for blockchain innovation. Dubai’s Virtual Assets Regulatory Authority (VARA) has created a conducive environment for blockchain-based platforms, and we are already establishing our STOEX Exchanges in this region. With increasing government and institutional support for blockchain and decentralized finance (DeFi), MENA is a critical focus area for our expansion.

    Southeast Asia: Southeast Asia is emerging as a hotbed for blockchain and digital asset innovation. Countries like Singapore and Malaysia have adopted progressive regulatory frameworks that support blockchain and tokenization platforms. The region’s growing tech-savvy population and high rate of digital adoption make it an ideal market for products like KALP and Kalpify.

    Europe: Europe’s focus on data privacy, digital innovation, and regulatory compliance aligns well with our core offerings. The European Union’s evolving regulations around digital assets, particularly through the MiCA (Markets in Crypto-Assets) framework, present an opportunity for MAI Labs to introduce our compliant and secure platforms. Additionally, Europe’s push for Central Bank Digital Currencies (CBDCs) opens up new possibilities for collaboration and expansion.

    India: India’s robust tech talent pool and growing interest in blockchain make it a critical market for MAI Labs. We are focusing on sectors like real estate, healthcare, and financial services, where blockchain and AI can drive significant value. As the government continues to explore the use of blockchain for public administration and governance, we aim to position MAI Labs as a leader in this market.

    By focusing on these global markets, MAI Labs is poised to become a leading provider of decentralized solutions, immersive experiences, and tokenized assets worldwide.

    StartupTalky: How does MAI Labs plan to empower the next billion users globally?

    Mr. Sangal: At MAI Labs, our mission is to make cutting-edge technology accessible to everyone, and empowering the next billion users is at the core of our vision. We aim to achieve this through a multi-pronged approach that focuses on inclusivity, innovation, and global accessibility.

    Building Scalable and Accessible Platforms: Our technology platforms, such as KALP, MayaaVerse, and MY IPR, are designed to scale seamlessly while remaining user-friendly and inclusive. By focusing on intuitive interfaces and reducing the complexity of blockchain, AI, and immersive technologies, we can bring advanced digital tools to a broader audience. For example, KALP’s decentralized infrastructure and regulatory compliance ensure that individuals from all regions, regardless of their technical expertise, can engage with secure, scalable blockchain technology.

    Democratizing Access to Digital Assets: Through platforms like Kalpify and STOEX Exchanges, we are working to democratize access to real-world assets by making tokenization simple and accessible. This allows individuals from emerging markets to participate in fractional ownership of assets such as real estate, commodities, and intellectual property. Our goal is to bridge the gap between traditional financial systems and decentralized finance, creating opportunities for users who have been underserved by conventional banking systems.

    Supporting Entrepreneurs and Innovators: MAI Labs is committed to fostering entrepreneurship by offering access to our comprehensive tech stack, including blockchain, AI, and immersive experience tools, with no upfront costs. Through initiatives like our entrepreneur support programs, we enable startups to leverage our technology to build innovative solutions without the financial burden of technology development. This empowers new businesses to grow and succeed, especially in regions where access to advanced technology is limited.

    Promoting Financial Inclusion: One of our key goals is to bring financial services to unbanked and underbanked populations. By leveraging blockchain technology, we can offer decentralized financial services (DeFi) that enable users to store value, send payments, and access credit, even without a traditional banking infrastructure. This opens up new opportunities for economic participation, particularly in developing nations where financial inclusion remains a challenge.

    Education and Skill Development: We believe that educating the next billion users is essential to driving meaningful engagement with technology. MAI Labs invests in educational programs and partnerships that teach digital literacy, blockchain development, and AI skills to individuals worldwide. Through workshops, training sessions, and online resources, we empower users to not only use our platforms but also create and innovate within the digital ecosystem.

    By combining advanced technology with a deep commitment to inclusivity and education, MAI Labs is working to ensure that the next billion users are empowered to fully participate in the digital economy, creating a more connected, equitable, and innovative world.


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  • Top 10 Best AI Tools for Teachers in 2024

    A classroom buzzing with energy, students eagerly engaged in learning, and a teacher seamlessly orchestrating it all with the help of advanced NLPs. Sounds like Hogwarts, doesn’t it? Well, Hogwarts like feels are in there, thanks to AI that’s going bonkers – and that too for all the right reasons. We at StartupTalky have seen firsthand how AI is transforming education, and we’re excited to share some game-changing tools that are making teachers’ lives easier and students’ learning experiences richer. What are they? Well, buckle up and get ready to discover how these free (and some paid) AI tools are shaking things up in classrooms around the world.

    Quizizz
    Canva Magic Write
    Curipod
    Brisk Teaching
    Class Companion
    AudioPen
    OpenAI’s Teaching with AI guide

    Quizizz

    Website www.quizizz.com
    Rating 4.9
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Quizizz - Best AI Tools for Teachers
    Quizizz – Best AI Tools for Teachers

    Quizizz is revolutionising the way teachers create and manage assessments. With its AI-powered features, this platform serves as a personalised teaching assistant, helping educators craft engaging and effective quizzes in seconds. The AI integration allows teachers to modify question types, fix grammatical errors, and even replace questions with similar ones, all generated by artificial intelligence. This is a major time-saver for busy educators, allowing them to focus on building meaningful relationships with their students.

    Personalised learning paths

    Quizizz can create customised learning paths for students. The platform adapts to each learner’s pace, ensuring a comprehensive understanding of the material. For instance, if a student excels in a particular area, Quizizz presents more challenging questions to keep them engaged. Conversely, if a student struggles, the system offers questions that reinforce fundamental concepts before progressing to more complex topics. This adaptability ensures that every student receives the attention they need for their individualised education plan.

    Real-world scenario generation

    To make learning more relevant and fun, Quizizz can convert questions into real-world scenarios. This feature helps students see the practical applications of what they’re learning, particularly useful in subjects like maths. Teachers can also add themes to their quizzes or use custom prompts to tailor the content to their specific needs. This approach not only makes the learning experience more engaging but also helps students understand how their knowledge applies to everyday situations.

    Plan Pricing
    Basic $0/Month
    Schools Custom
    District Custom

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    Canva Magic Write

    Website www.canva.com
    Rating 4.8
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Canva Magic Write - Best AI Tools for Teachers
    Canva Magic Write – Best AI Tools for Teachers

    What sets Canva Magic Write apart from other teaching tools is its integration with Canva‘s robust visual design features. Teachers can start with one of Canva’s templates and use Magic Write to generate text content, which they can then enhance with Canva’s vast library of images, graphics, and design elements. This combination of AI-generated content and visual design tools allows educators to create engaging and visually appealing materials for their students.

    Presentation creation features

    One of the standout features of Canva Magic Write is its ability to help teachers create compelling presentations. By simply describing their idea in a few words, educators can watch as the AI smartly fills out their story with an outline, slides, and content. This AI presentation maker saves valuable time, allowing teachers to focus on personalising and refining the content to suit their specific teaching style and students’ needs.

    Plan Pricing
    Free ₹0/Month
    Pro ₹4000/Month per user
    Teams ₹4000/Month per user
    Enterprise Custom

    Curipod

    Website www.curipod.com
    Rating 4.5
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Curipod - Best AI Tools for Teachers
    Curipod – Best AI Tools for Teachers

    Curipod is revolutionising the way teachers create and deliver lessons. This innovative platform harnesses the power of AI to generate engaging, interactive lessons in seconds. Teachers simply input a topic or learning objective, and Curipod’s AI produces a comprehensive lesson outline, complete with suggested activities and discussion questions. This time-saving feature allows educators to focus on personalising content and fostering meaningful connexions with their students.

    Diverse activity types

    The platform has a wide array of interactive activities. From polls and quizzes to AI whiteboards and word clouds, this teaching tool offers a variety of options to keep students engaged. The platform even includes an AI feedback feature, allowing students to receive instant, personalised feedback on their work. This diverse range of activities caters to different learning styles and helps maintain student interest throughout the lesson.

    Student engagement features

    Curipod goes beyond traditional teaching tools by incorporating features that boost student participation. The platform allows students to vote on each other’s submissions, encouraging peer interaction and critical thinking. Additionally, Curipod’s collaborative environment facilitates group activities and discussions, helping students develop essential soft skills like communication and teamwork. With its multimedia integration and real-time assessment tools, it creates an immersive learning experience that keeps students actively involved in their education.

    Plan Pricing
    Basic Plan $0/Month
    School & District Plan $3999/Per School

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    Brisk Teaching

    Website www.briskteaching.com
    Rating 4.7
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Brisk Teaching - Best AI Tools for Teachers
    Brisk Teaching – Best AI Tools for Teachers

    Brisk Teaching is a game-changer for educators looking to streamline their workflow. This Chrome extension seamlessly integrates into teachers’ existing online routines, offering AI-powered support without added complexity. With just a few clicks, teachers can generate comprehensive lesson plans, saving hours of precious time.

    Resource creation

    Brisk can create a wide range of educational resources. From presentations and quizzes to rubrics and interventions, this tool has got teachers covered. It can even craft personalised feedback directly within students’ Google Docs, turning a time-consuming task into a matter of minutes.

    Efficiency benefits for teachers

    The impact of Brisk Teaching on educators’ productivity is remarkable. By automating many labour-intensive tasks, it allows teachers to focus on what truly matters – connecting with students and delivering high-quality instruction. With over 600,000 educators reportedly saving 10+ hours every week, Brisk Teaching is proving to be an indispensable ally in the classroom, helping teachers reclaim their time and mental space for more creative and impactful teaching.

    Plan Pricing
    Free $0/Month
    Pro $9.99/Month
    School & District Custom

    Class Companion

    Website www.classcompanion.com
    Rating 4.6
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Class Companion - Best AI Tools for Teachers
    Class Companion – Best AI Tools for Teachers

    Class Companion is revolutionising the way teachers provide feedback and support to their students. This innovative AI tool for teachers offers instant coaching and AI feedback, improving student engagement and outcomes. Teachers can use their own content or generate assignments with AI, giving students low-stakes, unlimited practise opportunities.

    Student performance analysis

    The platform comes with in-depth reporting capabilities. Teachers can track student progress with unprecedented clarity, gaining insights into what each student understands. The platform provides detailed data on engagement, including attempts, hints, and disputes, as well as mastery scores and improvement metrics.

    Personalised learning recommendations

    Class Companion excels in providing personalised learning experiences. The AI adapts to each student’s needs, offering targeted help and multiple attempts for assignments. Teachers can customise rubrics to control AI feedback and choose from various question types, including short answer, essay, multiple choice, and outline formats. This flexibility allows for a full spectrum of practise, accommodating students at different levels and enhancing their critical thinking and synthesis skills.

    Plan Pricing
    Teacher $0/Month
    School Custom
    District Custom

    AudioPen

    Website www.audiopen.ai
    Rating 4.9
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    AudioPen - Best AI Tools for Teachers
    AudioPen – Best AI Tools for Teachers

    AudioPen is a game-changer for educators looking to streamline their note-taking and content creation process. This AI-powered tool converts spoken words into neatly formatted text, making it one of the best AI tools for teachers. With AudioPen, educators can record verbal feedback, dictate emails, and even outline lesson plans hands-free.

    AI writing enhancement

    What sets AudioPen apart from other teaching tools is its intelligent clean-up feature. Unlike simple transcription services, AudioPen uses AI to refine the text, correcting grammar and adding proper breaks. This means teachers can speak freely, knowing the final output will be polished and professional.

    Uses in educational content creation

    AudioPen shines in various educational scenarios. Teachers can use it to provide live feedback after marking exams, compile thoughts into coherent formats, and even translate spoken notes into different languages. It’s particularly useful for non-native English speakers, helping them capture ideas without worrying about grammar. With options to summarise content and change output styles, AudioPen proves to be a versatile AI tool for teachers, enhancing productivity and accessibility in educational institutions.

    Plan Pricing
    Free $0/Yearly
    Prime Yearly $99/Yearly
    Prime 2 Years $159/Yearly

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    OpenAI’s Teaching with AI guide

    Website www.openai.com
    Rating 4.7
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    OpenAI - Best AI Tools for Teachers
    OpenAI – Best AI Tools for Teachers

    OpenAI‘s guide for educators on teaching with AI in the classroom is a valuable resource for teachers looking to incorporate AI tools into their practise. This comprehensive guide offers insights into using ChatGPT effectively, addressing both its potential and limitations.

    Educational prompts

    The guide provides a wealth of prompt ideas for various educational tasks. Teachers can use ChatGPT as a tutor, generate quizzes and lesson plans, and even create prompts for writing exercises. For instance, Helen Crompton, an instructional technology professor, uses ChatGPT as a debate partner to challenge her students’ arguments, enhancing their critical thinking skills.

    Guidance on responsible AI use

    OpenAI emphasises the importance of teaching AI right from wrong, filtering harmful content, and responding with empathy. The guide addresses concerns about bias and truthfulness in AI-generated content, offering strategies to help students evaluate the credibility of AI responses critically.

    Explanations of AI capabilities and limitations

    The guide gets into how ChatGPT works, its effectiveness, and its limitations. It encourages educators to explore AI’s potential while being mindful of its constraints. OpenAI provides an FAQ section that covers topics such as AI bias, student use of AI-generated content, and age-appropriate AI use, helping teachers navigate these complex issues in the classroom.

    Plan Pricing
    Free $0/Month
    Plus $20/Month per user
    Team $30/Month per user
    Enterprise Custom

    Our Thoughts

    Looking ahead, the future of education seems brighter than ever, with AI as a powerful ally in the teaching toolkit. These tools aren’t just confined to the efficiency they bring –they’re rather opening up new possibilities for creativity and personalised learning. Moreover, those who can stay up-to-date with these innovations, would be the ones to get benefited by it. Moreover, to stay in the loop with the latest in edtech and other game-changing innovations, why not sign up for StartupTalky’s newsletter ‘Smell The Coffee’? It’s packed with insights, news, and case studies to help you stay ahead of the curve.

    FAQ

    Which is the best AI tool for teachers?

    Here are the best AI tools for teachers:

    • Quizizz
    • Canva Magic Write
    • Curipod
    • Brisk Teaching
    • Class Companion
    • AudioPen
    • OpenAI’s Teaching with AI guide

    How AI can help a teacher?

    AI can help teachers by automating administrative tasks like grading, providing personalized learning experiences for students, and offering real-time feedback. It can also assist in tracking student progress, identifying learning gaps, and offering insights to improve teaching strategies.

    How to apply AI in teaching?

    AI can be applied in teaching by personalizing learning experiences, automating grading, and providing real-time feedback. It can also help track student progress and identify learning gaps.

  • Best Chatbot Builders of 2024

    We all want to ace at customer support, experience and productivity – and there is no doubt about that. If you are someone on the same boat, we have some good news! Chatbot builders might just be the game-changer you need. These innovative tools are transforming the way businesses interact with their customers, providing round-the-clock support and personalised experiences. With the right chatbot builder, you can automate routine tasks, free up your team’s time, and create memorable interactions that keep your customers coming back for more. You’ll get to know how these tools can help you build chatbots that not only answer questions but also guide customers through complex processes, gather valuable insights, and even close sales. 

    HubSpot
    Manychat
    IBM Watsonx Assistant
    Wit.ai
    Amazon Lex

    HubSpot

    Website www.hubspot.com
    Rating 4.4
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    HubSpot - Best Chatbot Builders
    HubSpot – Best Chatbot Builders

    HubSpot‘s chatbot builder is a powerful tool that can revolutionise your customer interactions. It allows you to create automated chat services that integrate seamlessly with your current CRM systems. You can set up chatbots to qualify leads, book meetings, and create support tickets, all without human intervention. One of the standout features is the ability to create task-specific bots that guide visitors through a predefined sequence of questions. This helps you gather essential information about your visitors before your team takes over the conversation. For those with more advanced needs, HubSpot offers conversational AI that can provide human-like responses using a knowledge base.

    The chatbot builder is incredibly user-friendly, with a visual interface that makes it easy to design your bot’s conversation flow. You can customise your bot’s welcome message, add various actions like asking questions or setting property values, and even create if/then branches to determine the flow of the conversation.

    HubSpot Pros and Cons

    Pros:

    • Free forever plan with essential features
    • User-friendly interface
    • Seamless integration with HubSpot’s CRM and other tools
    • Extensive range of features for marketing, sales, and customer service
    • Simple integrations with over 1,500 apps and web services

    Cons:

    • The interface can be restrictive for complex chatbot flows
    • Better suited for businesses already using the HubSpot ecosystem
    • Limited customisation options in the free plan
    • Advanced features only available in higher-tier plans

    HubSpot’s chatbot builder is an excellent choice for businesses looking to automate customer interactions and streamline their support processes. Its integration with HubSpot’s wider suite of tools makes it particularly valuable for companies already using or planning to use HubSpot’s CRM and marketing automation features. While it may have some limitations, the free plan offers a great starting point for businesses to explore the benefits of chatbots without any financial pressure.

    Plan Pricing
    Professional $800/Month
    Enterprise $3600/Month

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    Manychat

    Website www.manychat.com
    Rating 4.6
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Manychat - Best Chatbot Builders
    Manychat – Best Chatbot Builders

    Manychat is a powerful chatbot builder that can revolutionise your business by automating conversations across multiple platforms. This tool allows you to create engaging chatbots for Instagram, WhatsApp, and Facebook Messenger, helping you boost sales and conversions.

    One of Manychat’s standout features is its ability to handle Instagram Direct Messages. Your chatbot can automatically respond to questions, comments, and story replies 24/7, attracting more leads and driving higher conversions. Similarly, on WhatsApp, you can set up automation to help customers discover products, retrieve order information, and get customer support – all without your constant attention. The Facebook Messenger integration is equally impressive. You can automate conversations to generate leads, answer FAQs, and run marketing campaigns effortlessly. This multi-channel approach ensures you’re always available to your customers, no matter where they prefer to interact.

    Manychat’s lead generation capabilities are particularly noteworthy. The platform allows you to capture email addresses and phone numbers for up to 80% of your leads, automatically adding them to your database. This feature can significantly boost your conversion rates, potentially increasing them by up to 90%.

    Manychat Pros and Cons

    Pros:

    • User-friendly interface suitable for non-technical users
    • Multi-channel support (Instagram, WhatsApp, Facebook Messenger)
    • Powerful lead generation and conversion tools
    • AI Assistant and pre-built templates for easy setup
    • Integrations with over 2,000 business tools

    Cons:

    • The free plan has limited functionality
    • Pricing can become expensive for businesses with large contact lists
    • Some users report occasional instability in the visual bot builder
    • Limited language support compared to some competitors

    Manychat stands out as an excellent chatbot builder for businesses looking to automate their customer interactions across multiple platforms. Its user-friendly interface and pre-built templates make it accessible even for those without technical experience. The AI Assistant can help you create your first automation quickly, and you can easily edit any template with just a few clicks. However, it’s worth noting that while the free plan is a great starting point, you’ll likely need to upgrade to the Pro plan to access the most powerful features. The pricing structure, which scales based on your number of contacts, means that costs can add up quickly for businesses with large audiences.

    Plan Pricing
    Free $0/Month
    Pro $15/Month
    Elite Custom

    IBM Watsonx Assistant

    Website www.ibm.com
    Rating 4.4
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    IBM Watsonx - Best Chatbot Builders
    IBM Watsonx – Best Chatbot Builders

    IBM Watsonx Assistant is a powerful chatbot builder that can revolutionise your customer interactions. It uses artificial intelligence to help businesses handle queries and tasks efficiently. This tool is designed to boost productivity and streamline operations across various sectors.

    One of the standout features is its user-friendly interface. You don’t need coding skills to build generative AI assistants, thanks to the intuitive drag-and-drop conversation builder and pre-built templates. This makes it easy for anyone in your organisation to create effective chatbots. The assistant leverages advanced Large Language Models (LLMs) and Natural Language Processing (NLP) to understand the context of each conversation. This means your chatbot can grasp the nuances of human language, leading to more accurate and helpful responses.

    Another key feature is the Retrieval-augmented generation (RAG). This allows your chatbot to provide accurate, contextual, and up-to-date answers around the clock, grounded in your company’s knowledge base. It’s like having a tireless customer service rep who always has the right information at their fingertips.

    Watsonx Pros and Cons

    Pros:

    • User-friendly interface suitable for non-technical users
    • Advanced AI capabilities for natural language understanding
    • Seamless integration with various channels and business systems
    • Robust analytics dashboard for tracking conversation performance
    • Ability to handle complex customer interactions

    Cons:

    • Pricing can be steep for smaller businesses
    • Some advanced features may require technical expertise
    • The free plan has limited capabilities

    IBM Watsonx Assistant is an excellent choice for businesses looking to enhance their customer service and automate routine tasks. Its AI-powered features can help you create engaging, personalised interactions that boost customer satisfaction and loyalty. Whether you’re a small business just starting with chatbots or a large enterprise looking for a scalable solution, IBM Watsonx Assistant offers a range of options to meet your needs.

    Plan Pricing
    Lite $0/Month
    Plus $140/Month
    Enterprise Custom

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    Wit.ai

    Website www.wit.ai
    Rating 3.8
    Free Trial Yes
    Platforms Supported Web
    Wit.ai - Best Chatbot Builders
    Wit.ai – Best Chatbot Builders

    Wit.ai is a powerful chatbot builder that can revamp your business by enhancing your app’s ability to understand and respond to user input. This natural language processing platform, developed by Facebook, offers a range of features to help you create intelligent chatbots. Wit’s user-friendly interface is its USP. You don’t need to be a coding expert to get started. The platform allows you to train your chatbot through examples, or “utterances”. By providing a few examples of how users might interact with your chatbot, Wit.ai can infer and understand similar requests.

    The Understanding section is where you teach Wit how to comprehend your users’ intentions. As you validate more utterances, Wit’s understanding improves, leading to more accurate responses. This learning process is continuous, with every new utterance hitting the API showing up for review and improvement. Wit.ai also uses entities to extract meaningful information from user input. For instance, it can automatically detect and highlight specific data like temperatures or dates, making it easier for your chatbot to provide relevant responses.

    Wit.ai Pros and Cons

    Pros:

    • Free for both private and commercial use
    • User-friendly interface suitable for non-technical users
    • Continuous learning and improvement through user interactions
    • Automatic entity detection for more accurate responses
    • Open-source community benefits

    Cons:

    • May require manual review for quality control
    • Limited customisation options compared to some paid platforms
    • Potential privacy concerns with data storage

    Wit.ai is an excellent chatbot builder for businesses looking to upscale their customer interactions without significant financial investment. Its ability to understand natural language and continuously improve makes it an amazing tool for creating responsive and intelligent chatbots.

    Plan Pricing
    Free $0/Month

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    Amazon Lex

    Website aws.amazon.com
    Rating 4.2
    Free Trial Yes
    Platforms Supported Web, IOS/Android
    Amazon Lex - Best Chatbot Builders
    Amazon Lex – Best Chatbot Builders

    Amazon Lex is a powerful chatbot builder that can revolutionise your business by enabling you to create conversational interfaces for your applications using voice and text. It’s powered by the same technology that drives Amazon Alexa, making it a robust choice for developers looking to build sophisticated, natural language chatbots. The standout element in Amazon Lex is its simplicity. You don’t need deep learning expertise to create a bot. The Amazon Lex console guides you through the process, allowing you to specify the basic conversation flow quickly. This user-friendly approach makes it accessible for businesses of all sizes.

    Amazon Lex uses advanced natural language processing (NLP) and automatic speech recognition (ASR) technologies. These features allow your chatbot to understand the context of conversations, leading to more accurate and helpful responses. The bot can handle multi-turn conversations, managing context across interactions without the need for custom code. Integration is another key strength of Amazon Lex. It seamlessly connects with other AWS services, including Lambda, Cognito, CloudWatch, and DynamoDB. This integration allows you to extend your bot’s capabilities, from accessing databases to executing complex business logic.

    Amazon Lex Pros and Cons

    Pros:

    • User-friendly interface suitable for non-technical users
    • Advanced NLP and ASR capabilities for natural conversations
    • Seamless integration with other AWS services
    • Pay-as-you-go pricing model
    • Free tier available for new users
    • Supports multi-turn conversations
    • Easy deployment across multiple platforms

    Cons:

    • Limited language support (currently supports English, Spanish, German, French, Italian, and Portuguese)
    • Restricted customisation options compared to some other chatbot builders
    • Integration complexity may require programming knowledge
    • Lacks built-in sentiment analysis

    Amazon Lex is an excellent choice for businesses looking to build conversational interfaces quickly and cost-effectively. Its integration with the AWS ecosystem and advanced AI capabilities make it a powerful tool for creating engaging chatbots.

    Plan Pricing
    Request and response interaction pricing
    Speech request $32/ for 8000 speech requests
    Text request $1.50/ for 2000 text requests
    Streaming conversation pricing
    Speech intervals $52/ for 8000 speech intervals
    Text requests $4/ for 2000 text requests
    Automated chatbot designer pricing
    Training time $150/ for 300 minutes

    Conclusive Thoughts

    Chatbot builders are causing a revolution in the way businesses interact with their customers, offering round-the-clock support and personalised experiences. These tools cater to a wide range of needs and skill levels. As the chatbot arena continues to evolve, businesses have more options than ever to enhance their customer service and automate routine tasks. Whether you’re a small startup or a large enterprise, there’s a chatbot builder out there that can help take your business to the next level. However, in order to stay in the loop with the latest trends and tools in the startup world, why not sign up for StartupTalky’s legacy newsletter ‘Smell The Coffee’? It offers exclusive sneak peeks into the startup scene and early access to some of the most exciting tools out there. Remember, in business circles, staying informed and getting hold of new technologies can make all the difference.

    FAQ

    Which chatbot builder is best?

    The best chatbot builders currently are:

    • HubSpot
    • Manychat
    • IBM Watsonx Assistant
    • Wit.ai
    • Amazon Lex

    Can I create an AI chatbot for free?

    Yes, you can create an AI chatbot for free using various platforms, though advanced features may require paid upgrades.

    Can I build my own chatbot?

    Yes, you can build your own chatbot using various tools or by coding it from scratch. Depending on your technical skills, you can either use a chatbot builder platform or develop it using programming languages and AI frameworks.

  • JSW MG Motor India Supports 7 Startups with an AI Emphasis in Electric Vehicles

    AI and electric vehicle concept is getting really popular around the globe. As the people are getting more aware about sustainability and its long term value, they are opting for more solutions and products that are friendly to the environment. Stretching on the same line and within the framework of the MG Developer Program (MGDP) Season 5.0, JSW MG Motor India unveiled the acceleration of seven companies with an emphasis on artificial intelligence (AI) in electric mobility on 11 September 2024. 

    With ecosystem partners on board, the MGDP initiative fosters innovation in the rapidly developing field of artificial intelligence in electric mobility.

    Seven Startups

    Startups

    Deliverables

    Anuvega Powertronics

    A supplier of drivetrain and power electronics products

    Aselector Technologies

    A platform powered by AI for process and customer experience
    improvement

    Emerging Technologies

    Focusing on improving efficiency and safety in the automotive sector

    Gudlyf Mobility

    A deep tech business that focuses on energy storage

    Power Jet

    EV Urjaa

    Ravity

    A mobility management platform integrated with AI

    Vocbot AI

    An AI-powered, SaaS-based contact centre that is multilingual

    Investigating AI’s Potential for Transformation

    The MGDP Season 5.0 subject, AI in Electric Mobility, invites digital startups to investigate how AI may revolutionise everyday life and corporate processes. The seven businesses will create ongoing research and pilot programmes in the upcoming months, opening the door for innovative and useful solutions that combine artificial intelligence and electric mobility.

    Collaborating with Manthan and Startup India

    In order to strengthen the program’s impact, JSW MG Motor India collaborated with Startup India and Manthan (the Government of India’s Office of the Principal Scientific Adviser), which started in early 2024.

    Important support was given by a consortium that included AWS, Exicom, Lohum, and DRIIV (Delhi Research Implementation and Innovation), which encouraged cooperation and creativity within the startup community.

    The company is unwavering in its dedication to innovation and teamwork in the electric transportation sector. According to Gaurav Gupta, Chief Growth Officer, JSW MG Motor India, “the MG Developer Program and Grant act as catalysts, enabling startups to create AI solutions that tackle the difficulties and possibilities posed by this rapidly evolving mobility landscape.”

    Through the provision of resources, mentorship, and a nurturing atmosphere, the firm is fostering a new generation of innovators who will use artificial intelligence to design India’s future in electric transportation. “We look forward to seeing the growth of these businesses and their beneficial impact on the Indian automotive industry as JSW MG Motor India continues to invest in technological innovation and developing opportunities in the AI field,” Gupta continued.


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  • Cloud Security in the Age of AI: Evolving Threats and the Need for Adaptation

    This article has been contributed by Anna Koh, Chief Business Officer (Asia), Cyfirma.

    The boom of cloud technology has changed how we as a business, governments, and consumers interact with digital services. It has come a long way from a novel concept to an integral part of our daily lives. This pervasive adoption of cloud services has brought unprecedented agility in terms of growth and introduced us to new challenges in terms of security. This clubbed with the rise of AI, it has compelled us to rethink our security strategies. 

    Cloud computing began as a means to provide scalable IT resources online, eliminating the need for traditional in-house infrastructure. In the beginning cloud services offered basic computing resources such as storage and processing power, but with time technology matured and its capabilities improved. Today, the cloud offers a broad of services including Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS)

    These services allow organisations to leverage cloud resources for various purposes, such as data analytics, AI, software development and disaster recovery. The pervasive adoption of cloud technology is evident across various sectors as businesses of all sizes rely on cloud solutions for their cost savings to operations that cloud platforms offer. Governments use the cloud to enhance public services and manage vast amounts of data. And consumers interact with cloud-based applications for everything from social media, online banking to entertainment and personal productivity. 

    Cloud Attacks Industry Targets
    Cloud Attacks Industry Targets

    Cloud technology is becoming increasingly integrated into our digital lives, making it a crucial part of daily life. This shift to cloud computing has created new attack risks and amplified the potential impact of cyber-attacks. Threat actors look for vulnerability such as: 

    Misconfiguration

    Cloud services often come with complex settings, if not properly configured it can expose sensitive data or leave systems open to unauthorised access. 

    Centralised Storage of Vast Amounts of Sensitive Information

    Threat actors use techniques such as phishing and malware to gain access to cloud accounts and exfiltrate data. The scale and accessibility of cloud environments make these breaches particularly damaging.

    Application Programming Interfaces (APIs)

    Cloud services rely on APIs for integration and communication. Any vulnerabilities in APIs can be exploited by attackers to gain unauthorised access, manipulate data, or disrupt cloud services. 

    DDoS Attacks

    Attackers overwhelm cloud resources with a flood of malicious traffic. The scale of cloud services makes them particularly susceptible to these attacks, which can cause significant disruptions and financial losses.


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    Multiple Third-Party Providers

    Threat actors exploit vulnerabilities in the supply chain to compromise cloud services, infecting systems with malware or gaining unauthorised access to sensitive data.

    The integration of AI into cyber-attacks has introduced new dimensions of sophistication and efficiency like:-

    1. Attackers use AI to create personalised phishing emails by analysing the target’s communication habits, tricking employees into revealing cloud credentials and allowing unauthorised access to sensitive data.
    2. AI is used to develop adaptive malware that evades traditional security systems by altering its code or behaviour based on defences. A notable case is AI-driven polymorphic malware that continuously changes its appearance to avoid detection by static antivirus tools.
    3. Threat actors use AI to optimise data exfiltration processes by analysing network traffic and identifying optimal times and methods for data exfiltration. AI-driven algorithms can automate and accelerate the data extraction without triggering traditional security alerts.
    4. Sophisticated DDoS attacks use AI to adjust the volume and type of traffic based on defensive measures, making it harder for cloud providers to mitigate the attack. This adaptive approach was evident in high-profile DDoS attacks that overwhelmed cloud infrastructure.
    5. Cybercriminals use AI to conduct scans and exploit vulnerabilities of cloud environments. AI tools can find and exploit unpatched vulnerabilities before security teams can address them.

    To address the evolving threats posed by AI-driven cyber-attacks, cloud security must adapt and incorporate advanced strategies. Here are key areas where cloud technology and security practices need to evolve: 

    1. Integrating AI into cloud security tools improves threat detection and response. AI can analyse patterns and spot anomalies in real-time, providing more accurate and timely alerts for potential threats.
    2. Adopting a Zero Trust approach, where trust is never assumed and access is granted based on strict verification. This means continuous monitoring and validating user access and behaviours to minimise the risk of unauthorised access.
    3. Strengthening API security by implementing rigorous and regular vulnerability assessments and API-specific security measures to mitigate risks associated with API exploits.
    4. Leveraging automation in threat response to quickly respond to detected threats thus reducing the time attackers have to exploit vulnerabilities.
    5. Training Personnel Regularly Regular training and awareness programs can help prevent human errors that lead to security breaches.
    6. Collaborating with industry peers to share threat intelligence that can enhance cloud security. Collective efforts to share insights on emerging threats and vulnerabilities can strengthen defences and improve overall resilience.

    As cloud technology and AI-driven threats evolve, organisations need to adapt their security strategies. Enterprises can better protect their cloud environments by integrating AI tools, adopting modern security architectures, and fostering a culture of continuous improvement to ensure resilience of their digital operations.


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  • Exploring the Role of AI Agents in CRM

    This article has been contributed by Praveer Kochhar, Co-Founder & CPO, Kogo Tech Labs.

    Gen Z is coming of age as consumers, and they are changing everything we know about customer service. Their influence on consumer behavior is massive with older generations now accepting AI. McKinsey found that 74% of Gen Z customers, 82% of millennials, and 81% of Gen X customers are more accepting of AI-powered customer service now than ever before. CRM leaders today are facing the greatest challenge in decades — preparing their organizations for an AI-ready future, while meeting tough revenue targets and rising customer expectations.

    Technology has surely enabled businesses to scale their operations significantly, and the traditional call centers are rapidly becoming a relic of the past. Yet, many leaders are faced with underperforming AI tools, leaving them to master entirely new approaches to performance improvement while retaining traditional tools. It’s Catch 22. But does it really have to be? 

    Let’s consider realities as they exist. Currently, 57% of CRM leaders expect ticket volumes to increase by as much as one-fifth over the next one or two years. At the same time, nearly 40% of them say that cost is still a key priority. The need to excel in service across multiple channels creates extra challenges for customer care leaders, especially when budgets are tight. This tension is driving companies to look for new ways to control the customer care costs with automation. Enter AI Agents. 

    Why AI Agents Mark a Monumental Change in CX as We Know It

    AI Agents are the next generation of AI-powered bots that are already helping CRM teams scale quickly, while delighting customers. Built on a large agentic framework, AI Agents are made to not just respond to customers with empathy, but perform real-world tasks. For example, most chatbots are limited to their conversational capabilities. AI Agents can go a step further. It can process refunds, track orders and so much more than conversational bots.

    It finally frees human agents to focus on more high-value work, which would be less monotonous. 

    High-value work taps into the strengths of human agents: empathy, building lasting customer relationships, and resolving issues in creative and innovative ways. And when the business is closed for the day, AI Agents can still be at work. They are highly customizable—and their personalities can be tailored to fit the company’s voice, making convincing small talk with customers, offering personalized responses that go a long way in building loyalty. 


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    What Can AI Agents Really Do for CRM?

    With customer interactions expected to continue skyrocketing, AI Agents are the best solution to manage this challenge. You don’t want to leave your customers waiting for someone to address their concerns. Because bad experiences will lead customers to your competitors. Fortunately, setting up AI Agents requires minimal effort. Advanced AI Agents built on small action models allow businesses to simply connect the AI agent to existing knowledge bases — be they structured or unstructured — and begin tackling your customers’ top requests on day one. It’s not rocket science. 

    AI Agents today are so advanced that it is easy to customize and control how the AI agent interacts with customers. They can also be configured to take on more advanced tasks autonomously, like returns or exchanges, by easily connecting them to backend systems. It ensures that the AI Agent can seamlessly resolve customer issues from start to finish.

    These advanced capabilities reduce costs significantly. AI agents can autonomously resolve most of the customer service requests, allowing businesses of all sizes to scale quickly, without adding headcount. 

    These agents can be programmed to be expert sellers. They can upsell, crosssell, and even offer personalized recommendations to customers, reducing support costs and turning the contact center into a revenue-generating operation. 

    It can be a great tool for presenting customers with relevant, and timely offers. By analyzing data like purchase history, browsing behavior and demographics, AI Agents can identify products or services customers are interested in. For instance, AI can recommend sale items that the customer previously viewed or similar products to their previous purchases. It can use data to trigger promotions. For instance, an abandoned cart might trigger an AI-powered bot to send a discount code to the customer. As they learn from every interaction, and are pre-trained to automatically detect what customer intent and sentiment are, AI agents can deliver the right response every time.

    AI is raising the bar for personalization, productivity, and performance in CRM. In the future, almost all customer interactions with brands will be powered by AI in one way or another. It’s time for businesses to relook and rethink their CX environment. There’s a great need to look at changing customer expectations and the role of AI within their organizations. The future of customer care is AI-driven. Leaders mustn’t hesitate. It’s time for a bold vision and bolder measures to make their organizations AI-ready. 


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  • Modi Meets 15 Tech CEOs at MIT Roundtable in the US; Nvidia, and Google CEOs Praise AI Vision

    On 23 September 2024, Prime Minister Narendra Modi participated in an important roundtable meeting with top technology experts from the United States. The topic of discussion was regarding the promotion of creativity and collaboration within India’s fast-growing technology sector.

    In the course of Prime Minister Modi’s three-day trip to the United States, a significant portion of the trip was spent in New York City, where this high-profile meeting took place at the Lotte New York Palace Hotel.

    The School of Engineering at the Massachusetts Institute of Technology (MIT) was the host institution for the event, which brought together renowned chief executive officers from leading firms that specialize in artificial intelligence, quantum computing, semiconductors, and biotechnology. Other notable individuals who were present at the event included Sundar Pichai, who works for Google, Jensen Huang, from Nvidia, Lisa Su, who serves for AMD, and Shantanu Narayen, CEO of Adobe.

    Focus of This Round-Table Meet

    The conversation centered on how cutting-edge technologies such as artificial intelligence (AI), quantum computing, and biotechnology are influencing the landscape of technology around the world and making a contribution to the advancement of humankind. The Ministry of External Affairs (MEA) brought attention to the fact that the discussion focused on how these technologies are being utilized to revolutionize the economy of the entire world and to improve the standards of living of people all over the world, including those living in India.

    In the statement made by the Ministry of Executive Affairs (MEA), Prime Minister Modi emphasized India’s commitment to fostering ethical and responsible usage of artificial intelligence through its ‘AI for All’ strategy during the meeting.

    Further, the Prime Minister reminded the leaders of the technology sector that India is committed to protecting intellectual property and developing an environment that is conducive to innovation driven by technology. He strongly encouraged the chief executive officers to capitalize on India’s economic expansion and the country’s potential to become the third-largest economy in the world in a relatively short time.

    The Meet Highlights the Investment Opportunities in India

    Another important point that was brought up throughout the conversation was the potential for investment in India’s rapidly developing startup ecosystem. An emphasis was placed on the role that startups play in driving technological developments and providing creative solutions, as well as the potential that startups have to function as a bridge for American corporations who are entering the Indian market.

    Sundar Pichai, CEO of Google, spoke to the press after the roundtable and said that Prime Minister Modi has encouraged the tech industry to keep creating and developing in and for India. In addition to this, he went on to state that the Prime Minister of India is concerned with ensuring that artificial intelligence is ultimately developed for the benefit of the people of India. He is pressing those who work in the field of technology to do more in the field of artificial intelligence so that it might be of use to the people of India.

    As both countries continue to investigate potential pathways for mutual growth and innovation, this roundtable represents a crucial step in strengthening the ties that bind India and the United States, particularly in the field of technology.


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