Tag: AI based startup

How the Airtel Startup Accelerator Program is helping Startups Grow

One of India telecom giants Bharti Airtel launched its Startup Accelerator Program in 2019 to support growth of early stage Indian tech startups. With the advent of its Startup Accelerator Program, Airtel aims to support the creation of a vibrant startup ecosystem that contributes to Digital India. Airtel believes that new technologies like AI and Machine learning could be leveraged to aid the growth of startups.

The program will help early stage startups get access to Airtel’s online and offline distribution network, deep market understanding and ecosystem of global strategic partners. With the Artificial intelligence and machine learning (AI/ML) becoming the next big thing in technology, the program has also developed strong in-house capacities for using these new age technologies.

Moreover, the startups will also get access to advisory services form Airtel executive team. Chief product officer of Bharti Airtel, Adarsh Nair on the launch of the accelerator program shared that early startups in India have exciting ideas but face multiple challenges in scaling up. He added, “With Airtels scale and digital capabilities around distribution and payments, we have the potential to drive the accelerated growth of emerging startups that are solving hard problems”.

A Brief about Bharti Airtel
How does the Startup Accelerator Program help Startups?
Some Startups under the Accelerator Program
FAQs

The Success Story Of Bharti Airtel: A Case Study

Bharti Airtel is a public limited company commonly known as Airtel. It is anIndian telecom company which is currently operating its business across southAsia, Africa and Channel Islands, it is also into the GSM providing business inall the countries including 2G and 3G services. Due to its operat…

StartupTalkyPV Vyshnavi

A Brief about Bharti Airtel

Airtel is a global telecommunications company with operations in 18 countries across South Asia and Africa. The company ranks amongst the top three mobile operators globally and its mobile network covers a population of over two billion people. Airtel is India largest integrated telecom provider and the second largest mobile operator in Africa. At the end June 2020, Airtel had approx. 420 million customers across its operators.

The portfolio of airtel includes high speed 4G/4.5G mobile broadband, Airtel Xstream Fiber that promises speeds up to 1Gbps and converged digital TV solutions through the Airtel Xstream 4K hybrid box. It also has digital payments through Airtel Payments Bank as well as an integrated suite of services across connectivity, collaborations, cloud and security that serves over one million businesses.

Airtel OTT services that includes Airtel Thanks app which is made for self-care, Airtel Xstream app for video, Wynk Music for entertainment and Airtel blue jeans for video conferencing. In addition, Airtel has forged strategic partnerships with hundreds of companies across the world to enable the Airtel platform to deliver an array of consumer and enterprise services.

How does the Startup Accelerator Program help Startups?

Airtel Startup Accelerator Program allows startups to leverage Airtels robust ecosystem including its core strengths in data, networks, payments and distribution. The program includes an access to a vast range of online and offline distribution network that touches 300 plus customers, deep market understanding and platform of global strategic partners.

Madhav Krishna, Founder and Chief Executive Officer, Vahan with Adarsh Nair, Chief Product Officer, Airtel

Further, startups also get access to advisory services from Airtel’s executive team. In India, Airtel serves customers across mobile, landline and DTH verticals. The program was introduced on 25^th October 2019, Airtel will help early startups with its online and offline distribution network, deep market understanding and global strategic partner ecosystem.

The company said in a statement, “With its Startup Accelerator Program, Airtel aims to support the creation of a vibrant startup ecosystem that contributes to Digital India”. Airtel has also developed in-house capabilities around machine learning (ML) and artificial intelligence (AI), which could be leveraged to aid the growth of startups. The statement added that the startups will also get access to advisory services from Airtel’s executive team.

Some Startups under the Accelerator Program

The companies under the airtel startup accelerator program

Vahan

Vahan is a Bengaluru-based tech startup and the first company to come under this program. The telecom has brought 8.8% stakes of the tech startup and will partner with them to achieve their visions of enabling jobs for the next billion internet users with the help of AI based technology. The company was founded in 2016 and is backed by YCombination and Khosla Ventures.

The company is focused on finding blue collar jobs for millions of young Indians in Delivery, Driving, Retail, BFSI, BPO and Hospitality sectors with companies such as Zomato, Swiggy and Dunzo as clients.

Madhav Krishna, Founder and Chief Executive Officer, Vahan, in a statement said, “Most blue-collar job seekers are unaware of the opportunities that exist in the market, especially new-age on-demand jobs. Airtel’s distribution channels will help us reach the depths of the country and in turn, help them take control of their economic destiny.”

Vahan leverages advanced Artificial Intelligence to match job seekers with employers inside messaging apps such as Whatsapp.

Waybeo

Waybeo is a Trivandrum headquartered startup which focuses on deep AI based analytics for cloud telephony, is the fifth to join the fast growing Airtel Startup Accelerator Program, which helps promises startups unlock their potential. Airtel has chosen Waybeo to be a part of the program as it is part of its strategy to scale up its cloud offerings. As per IDC, the public cloud services market in India is likely to reach US$7.1 billion by 2024.

Adarsh Nair, Chief Product Officer, Airtel said: “Cloud technologies are transforming the way businesses serve and delight their customers. We are thrilled to onboard Waybeo to our Startup Accelerator program and provide them a platform to scale up their technologies as part of Airtel’s world-class cloud services ecosystem.”

Waybeo has managed to build a cutting edge analytics tools for the enterprises cloud telephony segment. Under the Airtel Stratup Accelerator program, Waybeo solutions will get larger distribution reach while giving Airtel access to waybeo proven as well as emerging technologies. Airtel serves over 2,500 large enterprises and more than a million emerging businesses with an integrated product portfolio, including Airtel cloud, a multi cloud product and solutions business.

JioMeet, Zoom Gets a New Competitor As Airtel Introduces BlueJeans

On Tuesday, Bharti Airtel has announced the launch of their video conferencingplatform Airtel BlueJeans in partnership with Verizon, US based telecom company.Although, it is only available for the Airtel customers only, unlike the JioMeetplatform. The video conferencing platform has not been la…

StartupTalkyYash Raj Srivastava

Voicezen

The other company that came under the program was Voicezen, which is a Gurgaon-based startup that works on developing advanced solutions that leverage machine learning, AI, speech to text and voice technologies to offer real time analytics to help brands serve customers better. The global conversational AI market size is expected to grow from USD 4.2 billion in 2019 to USD 15.7 billion by 2024. The megatrend will be driven by surging demand for AI powered customer support services and Omni channel deployment.

Increased customer engagement through social media platforms and integration of advanced AI capabilities will offer massive opportunity. The investment will give Airtel preferred access to Voicezen’s technologies, which can be deployed across its customer touch points in multiple languages. These intelligent solutions will offer real time analytics and insights to make Airtel’s conversations with its customers more engaging and frictionless and enable faster resolution.

It will also allow Airtel to make contextual offers to customers based on real time conversations. Voicezen is the third startup to become a part of the Airtel startup accelerator program. By becoming a part of this program, Voicezen will get the opportunity to deploy its technologies on a massive scale and work closely with Airtel on developing India first platforms of the future. Voicezen helps brands deliver a better customer experience in Indian language using Conversational AI.

Apurba Nath, founder Voicezen said , “Having worked on AI solutions in the past, we knew what works well in a lab most often doesn’t work in the real world, because either the training data is not large and relevant or the problem has little business significance. Our partnership with Airtel helps us solve these challenges. With this strategic investment, we will work even more closely with them to continuously improve our AI models and build out an enterprise grade battle hardened product that will make customer interactions more efficient, especially in this post Covid world where business operations are facing large disruptions.”

Spectacom Global Pvt. Ltd

Airtel has also picked stake in Spectacom Global Pvt. Ltd which is a fitness focused startup, through its Airtel startup Accelerator Program. Airtel will work with the startup to increase the adoption of its services by leveraging its digital platforms, including Xstream and Wynk Music. Adarsh Nair said that, “This also fits into Airtel strong focus on connecting with the youth and providing them digital platforms to fulfill their aspirations”.

The Gurugram based Spectacom, set up by Adnan Adeeb and Zeba Zaidi, says it create digital content that allows consumers across geographies and languages to access health and fitness training initiatives and programs. The firm will also work to creating and promoting product lines such as training and nutrition videos along with live sporting events.

Lattu Kids

Foraying in the edtech sector, Bharti Airtel has acquired a 10% stake in Lattu Kids for as part of the Airtel Startup Accelerator Programme. The startup is Mumbai-based and was founded in 2017 by Vivek Lath, Vivek Bhutyani and Arvind Kumar. They offer learning and development content through streaming platform for kids between three to eight years of age.

Bhutyani, CEO of Lattu Kids, commenting on the investment by stating, “With Airtel, we have found an equally passionate partner and our synergies in this space will allow us to scale Lattu to millions of kids in India across classes and make it a much-loved homegrownn edtech brand.”

With the pandemic the edtech sector has seen a huge boost so this investment will pay off definitely. Airtel will be able to add edtech to its premium digital content portfolio and offer quality learning material compiled by the company.

Conclusion

With these investmet, Airtel will be able to capture a larger audience. They forayed into fitness, edtech, AI as well as blue collar job provider platforms. These startups will also be able to reach a wider audience and get mentorship from industry experts. Overall, it’s a win-win for all.

FAQs

How do Accelerator programs work?

Accelerator programs are mainly programs of limited-duration that help startups with the new venture process. They usually provide a small amount of seed capital, plus working space and mentorship help with their growth in the ecosystem.

What are the benefits of Airtel startup accelerator program?

The program will help early stage startups get access to Airtel’s online and offline distribution network, deep market understanding and ecosystem of global strategic partners. With the Artificial intelligence and machine learning (AI/ML) becoming the next big thing in technology, the program has also developed strong in-house capacities for using these new age technologies. Moreover, the startups will also get access to advisory services form Airtel executive team.

What services does Airtel provide?

Some Airtel services include high speed 4G/4.5G mobile broadband, Airtel Xstream Fiber that promises speeds up to 1Gbps and converged digital TV solutions through the Airtel Xstream 4K hybrid box. It also has digital payments through Airtel Payments Bank as well as an integrated suite of services across connectivity, collaborations, cloud and security that serves over one million businesses. Airtel OTT services that includes Airtel Thanks app which is made for self-care, Airtel Xstream app for video, Wynk Music for entertainment and Airtel blue jeans for video conferencing.

May 14, 2021

Veda Labs- Helping retailers get more and real-time customer insights

Footfall counting or counting the number of customers visiting the store is crucial for retail stores. From performance of a promotional strategy, to staff efficiency and calculating sales conversion rate, many insights can be gained from the footfall data, and this is the reason why retail shops has been doing footfall counting over the years. While the ancient system of counting store visitors included manual counting and counting through a manual clicker, newer techniques include infrared counters, thermal cameras, WiFi analytics etc. Now with the entry of AI, footfall counting has become even more simple and insightful. Gurgaon based startup Veda Labs is harnessing AI to help retail businesses get more and real-time insights out of their footfall data, thus empowering the retails store owners and managers to take better decisions for crowd management, staff management, for enhancing customer experience and more. We interviewed Veda Labs co-founder Veer Mishra, to get more details about the startup.

Veda Labs Highlights

Startup Name	Veda Labs
Headquarter	Gurgaon
Sector	Artificial Intelligence
Founder	Veer Mishra, Vivek Singh, Saurabh Shandilya & Saurabh Yadav
Founded	2018
Parent Organization	Macherlabs Private Limited
Website	www.vedalabs.in

About Veda Labs
Veda Labs – Founders
The Idea Behind Starting Veda Labs
Veda Labs – Name & Logo
Veda Labs – Business Model
Veda Labs – Funding
Veda Labs – Marketing Strategies
Veda Labs – Challenges
Veda Labs – Advisors & Mentors
Veda Labs – Awards & Recognitions
Veda Labs – Growth & Future Plans
Veda Labs – FAQs

About Veda Labs

Veda Labs is a super easy platform to adapt. All it needs is the existing CCTV camera. Once the solution is installed, it automatically connects to the cameras and performs all sorts of analytics like total footfall, age & gender of each walking in customer, along with repeat customer count & in-store consumer journey. Veda Labs uses computer vision and machine learning to offer deep and real time insights that retail businesses can use to enhance their operations.

Veda Labs lets you monitor which part of your store is more crowded and which is less crowded through heat maps

Not just retail stores, Veda Labs’ solutions can also be used in supermarket, restaurant, shopping mall, airport or any other real estate to gets analytical data on the visitors. CCTV footage being important for accurate analysis, Veda Labs also sends real time alerts if someone tampers with the CCTV infrastructure.

Veda Labs sends an alert when someone tampers with the CCTV infrastructure

Covid – 19 has brought with it new norms that needs to be followed at retail spaces or any other spaces where public gathers. To make it easier for businesses to ensure safety of their customers and staff, Veda Labs has now also come up with a Covid – 19 AI kit, that allows to keep a real-time check on parameters like social distancing, mask detection, fever screening, space occupancy and sanitization alerts.

Veda Labs' AI solutions uses Real Time CCTV Footage for Footfall Counting and providing various insights — Veda Labs’ AI solutions uses Real Time CCTV Footage for Footfall Counting and providing various insights

Veda Labs – Founders

Vivek Singh, Veer Mishra, Saurabh Shandilya and Saurabh Yadav are the founders of Veda Labs. The founders met at a Coworking center in New Delhi & quickly bonded over the common interest in AI and machine learning. Their passion to invent solutions using AI later lead to founding of Veda Labs in 2018.

Vivek Sing is CEO of Veda Labs. Vivek held technical and managerial positions at companies like Confetti India Pvt Ltd (a paper machine equipment manufacturing company), Industrial automation company ‘Rockwell Automation’ and Singapore based trading company ‘Trafigura’. Vivek also founded a automobile care and servicing startup ‘Torque – HP’, which he exited in 2016. Another Ai based startup founded by Vivek Sing is Corseco Technologies. Vivek is a BE in Electronics from Nagpur University and did MBA from Symbiosis Centre For Management and Human Resource Development, Pune.

Veer Mishra is the CMO of Veda Labs. A serial entrepreneur, Veer Mishra has over 11 years of experience across startups. Veer holds a Bachelor of Engineering (BE) in Electronics and Electronic Engineering. As the Chief Marketing Officer, Veer aims to create a strong brand recall through delivering the right set of campaigns to reach the relevant audiences at Veda Labs. With a deep knowledge in building and scaling AI products in the past, he works closely with the product development team as well as the sales team. Through the role at Veda Labs, Veer heads Strategic partnerships and has been focusing a lot on exploring international exposure and partnerships. Veer has multiple fields of interests, from hosting TVV shows (A unique podcast talking about all the crazy aspects of startups which feature industry leaders), designing graphics and at times even ideating about space technologies. Veer has also had the experience of being a TedX speaker at XIE, Mumbai in March 2019. The topic highlighted was Raising the capital to build the best in Tech and AI for a startup.

Veer Mishra is into film making too, as he started his professional journey as a filmmaker with his venture oasIs Production. Heading the operations for his venture mYwindow, under Veers leadership the gross sales grew from $0 to $150K in just 4 months. The venture moved from being bootstrapped to being cash rich. He also began Neuron, an Artificial Intelligence platform which uses Machine Learning as a core tech wherein he was responsible for leading the entire design team and Business Development. At Project Guerrilla, he helped Portfolio startups with strategies in Digital Growth. Suggesting technology hacks and helping them understand the user psychology.

Veda Labs CTO Saurabh Shandilya is a B.Tech in Electrical, Electronics and Communication. He started his career with ATRIM Electronics Private Limited, an Electrical and Electronic products manufacturing company as an Embedded Engineer. He also worked as a Research Scholar in Carnegie Mellon University where he researched on how to use Electronics for efficient solar power utilization. Saurabh worked as Senior System Engineer with Aviation & Aerospace company, Omnipresent Robot Tech, and later founded IoTfy, a company that provided enterprise IoT solutions for consumer durable in 2015. Saurabh exited IoTfy in 2017, to join Veda Labs as a co-founder.

Saurabh Yadav is the Head of AI at Veda Labs. He is a BTech in Electronics and Communication, and started his career as an Intern in Bharat Electronics. From 2013-2016, Saurabh worked with technology company Qualcomm. Saurabh Yadav also worked with Omnipresent Robot Tech as a Senior System Engineer before joining Veda Labs.

The Idea Behind Starting Veda Labs

In late October 2017 all the founders were sipping coffee in a co-working space in Delhi, and having an intense talk on the possibilities of AI & ML, when they stumbled upon the idea to to use AI to analyze the real time CCTV footage. They realized that this idea holds great potential, and so Veda Labs was started to put this idea into practice.

“With all our research and past experience in the field of AI, we were aware of the state of the AI on edge & realized that if we can create a EDGE platform that works on existing CCTV cameras, we will be able to have a huge breakthrough in making everyday CCTV cameras smart.” quotes Veer

In the early days, the Veda Labs team worked with a few retailers very closely & tested their solutions over 100s of CCTV cameras for over 100,000 hours of videos. Based on the feedback received from all the early customers, the product was molded to develop the best viable product for retail customers.

Monitor Customer Footfall Trends with Veda Labs' AI Solutions — Monitor Customer Footfall Trends with Veda Labs’ AI Solutions

Veda Labs – Name & Logo

The Veda Labs founders were on a business road trip to meet a potential client where we they were brainstorming on what could be the name of the startup. With deep fascination in ancient Veda scriptures, the team decided to name it Veda Labs.

The company’s Logo was simply made on Photoshop, and it simply represents A to Z behavior of Veda Labs Video analytics company.

Veda Labs – Business Model

Veda Labs is a B2B SaaS company which has a fixed monthly retainer every month for each store/location in which the company’s analytics services are deployed.

Veda Labs – Funding

Veda Labs has raised 4 rounds of funding till date. Below are the details-

Date	Stage	Amount	Investors
December 2017	Pre-Seed	$50,000	Mr. Manish Gupta
December 2018	Seed Round	$60,000	Alchemist accelerator
Auguse 2019	Angel Round	$300,000	Satin Neo Dimensions
2020	Pre-Series	Undisclosed	Mr.Kumar Rangarajan, Mr. Vasu Devan, Mr. Gnani Palanikumar

Veda Labs – Marketing Strategies

The features of the platform were launched individually and for each launch the Veda Labs team targeted potential customers and channel partners.

The company got its first few customers through word of mouth and direct sales, but now Veda Labs has an established channel for sourcing potential customers.

Veda Labs – Challenges

As a retail analytics company, it was a very evident challenge when COVID and lockdown hit the market. It was extremely essential the company to rapidly innovate and adjust to the new normal. Thus the company tweaked its existing solutions and built a COVID Safety Kit that allows retailers to monitor the real time occupancy of the store/floor, also measures the temperature of each walking consumer along with if that person is wearing a mask or not.

Veda Labs – Advisors & Mentors

Mr. Mukesh Mowji
Mr. Ravi Belani (Prof. Stanford & Founder of Alchemist Accelerator)
Mr. Satvinder Singh

Veda Labs – Awards & Recognitions

YourStory Tech30 2019
RBL Top Startup of the year
Analytics India Magazine TOP AI startup 2019-20

Veda Labs – Growth & Future Plans

Veda Labs has established key partnerships across the globe which has resulted in LOIs (Letter of Intent) for more than 4000 locations. The startup has a pipeline of more than $2Mn in revenue wrt the LOIs.

As for the future, the Veda Labs team envisions to build more solutions that are backed by technology to help retailers and enterprises grow their businesses with real time insights.

Veda Labs – FAQs

What is Veda Labs?

Veda Labs is an AI platform that helps retailers to grow their in-store conversions with real-time analytics and consumer insights.

Who is the founder of Veda Labs?

Veer Mishra, Vivek Singh, Saurabh Shandilya & Saurabh Yadav.

How does Veda labs work?

Veda Labs uses existing CCTV infrastructure to perform video analytics that present business insights like total footfall, demographic overview, customer journey, and heat maps. It also provides the capability to end customers for tagging and identifying blacklisted people on the premises.

April 29, 2021

What are Deepfakes and how they are Fueling Future Startups

Gone the days of photo shopping where fake images only remained as a joke. The advancement in this technology with empowering tools such as AI has everyone worried. Recently, a lot of pornographic images and videos of Hollywood actresses and famous celebrities which are highly convincing, have been circling over the internet and millions of people have been sharing the same. These obnoxious images and videos were later found to be forged and were declared fake by forensic experts.

Social media, the bearer and broadcaster of fake news too is posing a threat since the news it upholds spreads like wildfire and leaves little to do when the news is a hoax or a rumor. Remember what happened during #pizzagate? Day by day its what we see vs what we believe.

The video where Barrack Obama was seen talking rather unusually and calling Donald Trump a “Dipshit” also went viral, only to learn that it was American actor Jordan Peele just playing around with Artificial Intelligence technology. What is this technology that is so make-believe that we often forget to comprehend if it’s actually authentic? Today we’re going to explore the AI that has taken the internet by the storm and is seen as a potential threat to the near future. Deepfakes.

What Are Deepfakes?
Origin of Deepfakes- GAN
Startups cashing in on deepfake technology
FAQ

What Are Deepfakes?

Deepfakes are images or videos created using artificial intelligence where you can create real-looking forged images such as morphing popular faces onto pornographic sites. Some amateurish hobbyists started this on Reddit and this gave birth to the pioneering of so-called deepfake learning.

Deepfakes aren’t just fake images or videos. Some are made with so much precision that it is really daunting to distinguish between a real and a fake. Deepfakes can be created using voice modulations too. So if you have seen a video of Nick Cage appearing in ten different movies he wasn’t a part of, or a politician saying rather unruly things, you have come across a deepfake.

Origin of Deepfakes- GAN

A general adversarial network-GAN is a deep learning technique in AI. Usually, machine learning is a hand-down job where you instruct the computer with commands to complete certain tasks. GAN gives machine learning a new power where it can skip human intervention and self-learn, maybe even imagine and create images that never existed.

In a general adversarial network, two neural networks are pitted against each other. These networks are provided with several images and the two networks, using data from the images creates new plausible images which are so real-looking, you could hardly tell in the first go. They learn from the data provided from several images such as facial expressions, complexions, bone structure, etc.

The neural networks require high end systems with huge data space to create the anticipated outcomes.

These networks trace the movements of pedestrians walking around which has helped develop driver-less cars. They have also studied voice modulations which make Alexa and Siri more conversational.

Deepfakes are using these deep learning techniques and hence the name.

Future Technologies will Perform 90% of Household Chores

The Fourth Industrial Revolution (IR4.0) is on the verge of happening. It isbelieved that the revolution will have a great impact on human life and put thehuman race far ahead. According to the experts, certain chores like washingclothes and dishes have already become more convenient due to techn…

StartupTalkyVarad Kitey

Startups cashing in on deepfake technology

Synthesia

Synthesia is a London-based AI video generating platform where you can create corporate training videos for businesses around the world. The platform let’s you choose an avatar for the video and can be created in over 40 plus languages.

Synthesia Website

In grave times of the pandemic, it has made shoots riskier and Synthesia is slamming the corporate training costs by using deepfake technologies to create these videos.

Recently, it helped David Beckham appear in a public service announcement on malaria where he “spoke” in nine different languages.

Rosebud AI

Rosebud, founded by a team of AI experts, is aiming to disrupting media by creating glossy images used by e-commerce platforms or marketing. It has released around 25000 modelling images of people that don’t exist. It has also launched a service where you can put on clothes photographed on mannequins onto virtual real looking models.

Rosebud ai Website

This could be used by several cosmetic and apparel businesses who are constantly in requirement of models and who spend a fortune going through sets and shoots.

Modulate.ai

Modulate is using the deepfake technology in the gaming industry to analyze speech software that learns how to create Voice skins or filters of famous celebrities or characters. Old school method relies on text-to-speech tech whereas Modulate uses real time audio to synthesize the voice skins.

The voice skins have a real life effect which is radical for the gaming industry. Modulate.ai has raised $2 million through investors like Hyper plane venture Capital and 2Enable Partners.

Top 5 Technologies That Can Change The Future Of Cybersecurity

Cybersecurity is at the tipping point entering 2021. Advances in AI and ML areaccelerating its technological progress. Technology which can take us forwardand empower us, can also show the flip side that is Cyber Crime. By creating cybersecurity systems that encourage diversity and value equality…

StartupTalkyAvantika Bhardwaj

Respeecher

Like Modulate, Respeecher demonstrates emotional nuance and prides itself in creating a technology of voice cloning. Respeecher aims at revolutionizing the film and animation industry. Since animation and film studios are prone to human error, Respeecher’s voice clones come in handy when actors who are dubbing, quit. Only a good sample of their voice and the technology does its wonders.

Respeecher Website

D-ID

In the wake of privacy concerns with facial recognition synched with sensitive information, D-ID de-identifies and removes identifiable features without losing a grip on important attributes such as age, gender or emotion. Its smart anonymity feature provides top notch security for biometrics databases.

D-ID Website

How Big Data Is Transforming Sales And Marketing

Big data is a field that is used to analyze a large amount of data of a companythat can not be analyzed with traditional computing or software. It thecollection of data of a company. Let us take an example to understand the wholescenario of Big Data. We are using our smartphones in our daily lif…

StartupTalkyAvinash kumar mahato

FAQ

What are Deepfakes and how are they created?

Deepfake technology refers to audiovisual content generated by deep learning AI systems.

How do Deepfakes work?

Deepfakes rely on artificial neural networks, which are computer systems that recognize patterns in data.

What was the first Deepfake?

The first deepfake was coined on 2017 by a Reddit user of the same name. This user created a space on the online news and aggregation site, where they shared pornographic videos that used open source face-swapping technology.

Conclusion

The companies mentioned above are using deepfake tech to do more than just creating videos and images. They’re developing services around the most controversial phenomena and are being applauded for the same.

Lately, Deepfakes have become a common tool for harassment, revenge porn, busting political propagandas and are seldom used as a tool for harmless humor. There are several agencies relentlessly working on confirming deepfakes. But it has worried the entire AI tech industry since the technology is improving at lightning speed and are afraid that it might outrun the ones trying to find a difference or call out a fake.

April 20, 2021
Artificial Intelligence in Demand Planning and Forecasting
Artificial intelligence has been drawing a lot of attention as companies and tech-savvy vendors continuously seek how machine learning could improve demand plans and supply chain operations. In particular demand forecasting, the process of planning forecasts that will drive operational supply chain decisions and customer demand plans is being trusted as the next potential field for innovation and a drastic shift.

Giant Tech-savvy companies like Amazon and Microsoft have announced AI tools for refining demand forecasting, and several consulting companies are promoting their AI skills to bring them in demand planning processes. A recent survey identified that AI is the technology that will have the largest impact on demand planning in the near future.

It’s not difficult to notice the compatibility between AI and demand planning. Demand planning involves a huge number of data and data analytics, and it is a repeated cycle after cycle. It is easy to imagine that a self-learning AI application could do at least as good a job as a human planner at forecasting demand.

However, closer examination shows that there are some dire challenges faced by AI to successfully penetrate the demand planning market. These challenges are not much technical as compared to management. Even if AI is not a significant contributor to demand planning, addressing these challenges can improve a company’s demand forecasting performance.

Ways of Demand Forecasting
Consumer Demand Forecasting
Application of Demand Forecast

Ways of Demand Forecasting

In the world of data and Artificial Intelligence, most companies have been operating with a mixture of technologies into which they invested millions of dollars that they simply can’t turn off. They are also forced to compete in their industries with the digital systems that are building business models completely embracing the power of data and algorithms.

Organization adopt powerful insights for better demand predictions with data and technology. There is a practical adoption of digital transformation through platforms, forecast and predictive models, applications models, fed by a foundational data layer, powered by AI and enabled with real-world scenario testing.

Success Story of Observe.AI – Voice AI for Customer Care

With all the buzz about the modern technology with AI and VR that seem to betaking the world by surprise one after another, it has become imperative forcompanies to keep up with these trends and make the most of it. To sufficientlyprovide a solution to this, Akash Singh, Sharath Keshava Narayana,…

StartupTalkyVidhi Punamiya

Customer Relationship Management

The targeted customers who plan to buy a product expect receiving it immediately and should be readily available to use. Demand planning allows companies to predict which types of products have to be purchased in the next slot from a specific store location. This improves customer satisfaction and commitment from the organizations’ end.

Logistics and Order Fulfillment

Demand forecasting solutions optimize the supply chain procedure and logistics. The product will be more likely to be in the inventory, and unsold goods won’t occupy prime retail space at the time of order.

Pattern Identification

AI is applied to a company’s historical demand signal in an unbiased way. The technology self-learns from complex demand patterns like multiple seasonality signals, non-linear trends, lags, level shifts, etc. and finds common groups to prescribe the suitable model.

Internal and External Causals

Identity complex patterns from the data, the next step is to bring in the effects of internal and external causal factors to enhance the demand signal and quantify key demand drivers. Internal variables include the product analysis, price, promotions, product lifecycles and point-of-sale data.

External data is operated, such as macroeconomic indicators like demographic trends, Consumer Price Index, regional weather data, market share data, consumer sentiment, and much more.

Evaluating different Scenarios

The ability to analyze what-if scenarios for more accurate predictions is the next-generation demand modelling. This is an important point where organizations can win cause and effect by testing demand scenarios and sensitivities at varying levels. Factoring these scenarios into demand models in a deeper sense prepares decision-makers for changing conditions.

Short-Term Forecasting

AI plays a strong role in solving patterns and delivering insights for short term forecasts, predicting actual orders using data like page-views and current inventory positions from vendor portals, companies can set up recommendations on inventory positioning.

Supplier Relationship Management

By having the prediction of customer demand in numbers, it’s possible to calculate how many products to order, making it easy for the organization to decide whether they need new supply chains or to reduce the suppliers.

Marketing Campaigns

Forecasting is often used to market campaigns, adjust ads, and can influence the number of sales. Machine learning forecasting models can take marketing data into account to have a perfected market forecasting.

Technologies that impact Demand Planning

Consumer Demand Forecasting
- Extract maximum predictability from the available data
- Consumption-based forecasting predicts changing market conditions, utilizing internal and external data sources to fulfil orders
- AI functions in a variety of products and services companies with a variety of demand patterns including e-commerce, beverage, beauty, consumer electronics products and many more products
- The UI leverages AI to highlight which products need human intervention
- AI models consume limitless data sources empowering precision and market responsiveness
- Anticipate and respond to shifting market trends
- AI focuses on critical areas and anomalies through a unified forecast and Machine Learning driven workflow
Businesses in which Demand Planning is used

Application of Demand Forecast

The forecasting method to select is a function of multiple qualities about a particular item. Each and every item going under demand forecast has a unique history and an optimal method. The application of Demand forecast is Vanguard Predictive Planning uses AI to run a Best-Fit analysis on forecast records at the beginning of each forecast cycle.

The AI engine automatically uses the most appropriate forecasting method for users record. It analyzes the most recent demand data available and ensures the most accurate forecast for every item as it progresses through its lifecycle.

Conclusion

The basic functions of Artificial Intelligence are not new to forecasting and demand planning. Forecasters have used algorithms including artificial neural networks, association rules, and decision trees all of which are common methods in AI.

AI has proved to be one of the notable achievements in technical inventions, making it easier for organizations to predict what the consumers desire.

GPT-3 is an upcoming Revolution in of AI with all the surprising features

OpenAI is an artificial intelligence research lab founded by Elon Musk. Theyhave announced the arrival of the newest version of an Artificial Intelligence system it had been working on that can mimic human language, a model called GPT-3(Generative Pre-trained Transformer-3). GPT-3 is the 3rd gen…

StartupTalkyVibhavari Madki

FAQs

What is artificial intelligence?

Artificial Intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

What are the 3 types of AI?

There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence.

What is the purpose of artificial intelligence?

The objective of AI is to enable computers to perform such intellectual tasks as decision making, problem solving, perception, understanding human communication.

What are examples of artificial intelligence?
- Google Maps and Ride-Hailing Applications
- Face Detection and Recognition
- Text Editors or Autocorrect
- Search and Recommendation Algorithms
What is machine learning?

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

What is AI forecasting?

Emerging information technologies and artificial intelligence techniques are being used to improve the accuracy of forecasts and make a positive contribution to enhancing the bottom line called AI forecasting.

How Artificial Intelligence Is Transforming Business

The mimicry of human intelligence is called Artificial Intelligence. Or Thedevelopment of intelligent machines, thinking, and working like humans is calledArtificial Intelligence. With the help of machine learning, we can develop anArtificial Intelligence. Machine Learning is an application of Ar…

StartupTalkyAvinash kumar mahato
April 14, 2021

Silversparro—Offering AI-Powered Supervisor for Companies

Company Profile is an initiative by StartupTalky to publish verified and updated information on different organization. The content in this article has been approved by the organization itself.

It will not be wrong to say that technology is ruling our lives. From homes to offices, to factories, we are gradually shifting dependence to various AI based products. Many new AI based products are being developed to take care of different tasks. Silversparro, a startup based in Bangalore is using AI to help you supervise your production units, shop floors and offices to ensure better productivity and less chances of mishap.

Silversparro – Company Highlights

Startup Name	Silversparro
Headquarter	Gurgaon
Co-founders	Abhinav Kumar Gupta, Ankit Agarwal & Ravikant Bhargav
Sector	AI / Video Analytics / Manufacturing Automation
Known For	Sparrosense
Founded	2015
Parent Organization	Silversparro Technologies Pvt. Ltd.
Website	www.silversparro.com

Silversparro – About & How It Works?
Silversparro -Technologies Offered
Siversparro – Target Market
Silversparro – USP
Silversparro – Founders & Team
Silversparro – Name, Tagline & Logo
Silversparro – User Acquisition
Silversparro – Challenges
Silversparro – Business Model & Revenue Model
Silversparro – Funding & Investors
Silversparro – Advisors & Mentors
Silversparro – Awards & Recognitions
Silversparro – Future Plans
Silversparro – FAQ’s
Silversparro – Conclusion

Silversparro – About & How It Works?

Silversparro Technologies has come out with SparroSense, an AI-powered Supervisor for Manufacturing, Heavy Industry, and large facilities. SparroSense is a video analytics platform that analyzes feed from the existing CCTV cameras through real-time analysis. It is useful to detect inefficiencies, raise alerts, monitor productivity to increase capacity utilization directly from increasing revenues. The SparroSense suite is used and recommended by leading Steel, Metal, Auto industries across India and US.

Sparrosense Video Analytics Platform can help clients analyze their CCTV footage for monitoring people. The platform can be integrated with existing CCTV infrastructure. The processing of the videos usually takes place on the edge or the cloud. The business results are delivered on a dashboard through alerts to make sure each solution delivers an impact on the business.

Sparrosense AI Apps are ready to use models for frequently used cases like Face Recognition based attendance, Alerts for missing helmets, Productivity monitoring etc. It also provides a customized solution for monitoring end to end production pipelines.

Silversparro -Technologies Offered

To detail further, Silversparro’s services include –

Sparrosense Logo

Sparrosense Video Analytics Suite:

Sparrosense suite enables quick, easy & comprehensive -AI powered CCTV video analytics for manufacturing, heavy industries and large facilities – powering fully automated ‘people’ and ‘process’ monitoring – unleashing capacity utilization leading to large revenue gains and cost optimizations.

Sparrosense leverages best of cloud & edge technology – powering Apps for SMEs as well as Custom Use Cases for Enterprise. The same suite is also powers video analytics based – sorting, quality check and conveyor belt automation for large manufacturing.

Sparrosense Plug & Play Video Analytics Apps:

Face recognition application
Work productivity measurement
Customer demography assessment
Intrusion detection
Helmet detection

Sparrosense Video Analytics for Enterprise – sample case studies:

Process monitoring at large steel manufacturing and casting plant
Process automation for large laminates company
Aluminum sorting for US firm
Car damage detection
People and product monitoring for Die Casting

Siversparro – Target Market

Video Analytics market is estimated to be about 14B USD. However, as currently surveillance use cases of Video analytics are considered by most researchers, according to the Silversparro founders, the actual market size is bigger than estimated and has huge scope for further expansion.

We see Video Analytics based solutions as a major tool for driving Industry 4.0. which is poised to reach USD 155.30 Billion By 2024 – quotes Silversparro CEO Abhinav Kumar Gupta

Silversparro aims to be at the forefront of technological transformation. They believe AI-powered vision analytics is going to fundamentally change the world of business. The technology is evolving at such a fast pace that any and every task that involves humans visually monitoring or supervising people or processes will be fully automated or at least enabled by AI.

Silversparro – USP

The nightmare for many manufacturing firms is the fact that they need to depend on floor supervisors to manage their production lines. This sometimes may lead to a delay in further processes.

SparroSense suite takes care of this problem and enables top management team with the direct view of the status of their production lines via Video Analytics. It not only can predict delays but can also recommend steps to prevent such delays. This eventually leads to increased capacity utilization that can speed up higher production along with revenue without making major capital investments.

The unique USP of Sparrosense lies on the fact that it can ensure different solutions to run seamlessly on cloud, edge, and combination of both. The platform can serve clients across different locations with a wide variety of constraints of network bandwidth. The second aspect of unique innovation lies within the inbuilt mechanism to train continuously and deploy models iteratively. The models are extremely efficient and require low processing powers that save businesses from GPU processing cost.

The company started with providing Deep Learning APIs and have become an application provider by providing handholding and long term support to clients for leveraging advantages of AI solutions.

Silversparro – Founders & Team

Ravikant Bhargav, Abhinav Kumar Gupta and Ankit Agarwal are the founders of Silversparro.

Most of the fascinating ideas brew during the college years. We all will agree to that. The team of Silversparro is no different. Ravikant Bhargav, Abhinav Kumar Gupta, Ankit Gupta were all hostel mates at IIT Delhi when the idea of a startup hits their mind.

Silversparro co-founder, Ravikant Bhargav — Silversparro Co-founder, Ravikant Bhargav

Ravikant Bhargav was in 5-year integrated B. Tech and M. Tech in Computer Science from IIT Delhi. He joined Make My Trip and worked there for 2 years working on developing and scaling their Hotel’s product. Then he joined Bharti Airtel as part of the Wynk team making it robust to handle the scale of songs as well as the users. Currently, Ravikant is R&D head and leads the core AI development ensuring every client with cutting edge research work and coming out with the best possible ideas. He is also responsible for hiring AI researchers and engineers.

Silversparro CTO, Ankit Agarwal — Silversparro Co-founder & CTO, Ankit Agarwal

Ankit Agarwal did BTech. in Electrical from IIT Delhi – joined Skiva technologies working on embedded systems – building smart routers. He was then part of Infollion developing their core product post which he founded Silversparro along with Abhinav. He leads development of products and client solutions at Silversparro. Ankit Agarwal is currently CTO at Silversparro, who works closely with the clients to ensure smooth delivery of business values. He builds on products and ensures their scalability across cloud and edge. Passionate about technology, Ankit is also interestingly seen repairing various Laptops, computers, servers and other hardware in the office.

Silversparro co-founder, Abhinav Kumar Gupta — Silversparro Co-founder & CEO, Abhinav Kumar Gupta

Abhinav Kumar Gupta passed out of IIT Delhi (Engineering Physics) in 2010. Abhinav entered world of consulting and worked with KPMG for a year helping implementation of various government digital projects. He then spent two years working with BCG consulting for large banks and financial institutions leading transformation of branch banking and digital channels. He also led diagnostic business for Moolchand healthcare before taking the plunge and starting Silversparro. Abhinav Kumar Gupta is the CEO and leads Sales, Marketing and other business aspects at Silversparro. He monitors the clients closely and ensures their businesses hit maximum success.

Silversparro – Name, Tagline & Logo

Sometimes there are interesting stories around coming up with names and we can’t afford to miss it. Silversparro founders have their version of the story to tell.

Silversparro Logo

When we started – we were fascinated by the potential of drones and registered our company. Silversparro made sense as the name of drone company as drones appear like ‘sparrows’ shining like ‘silver’ in the sky”. But we realized that drones are by themselves not sufficient to provide the business advantage. Unless the images and videos which are generated by these drones are analyzed. So, we started learning about computer vision and video analytics and soon pivoted entirely. But all of us liked the name ‘Silversparro’ and we are still continuing with the name – Abhinav quotes.

Silversparro – User Acquisition

For every company to get its initial set of customers is a challenging task. Silversparro was no different. Their first client was a company which Abhinav once approached for an interview.

I had an interview with one of the companies sometime back – and during the interview, it came up that they needed an AI computer vision solution to extract information from receipt images. Though I did not join the company, later when we started up – we reached out to the company and offered to build the required computer vision solution from them. This was how we got our first user and how our startup was born – Abhinav quotes

Silversparro acquires most of its users through word of mouth and via a network of investors, colleagues and customers.

Silversparro – Startup Challenges

The AI models that Silversparro creates heavily depend on client’s data for their accuracy – but clients were initially very reluctant to share their data with them. The team worked patiently over the past several years to build close relationships with clients and develop trust. Once, the clients see the value they become comfortable in the partnership.

Another consistent challenge is hiring. AI talent is extremely scarce and extremely expensive – so the company have developed a path to nurture and grow AI talent within the company. They hire really smart engineers and train them through online courses as well as real client problems to develop them as AI engineers and researchers. This approach has really worked for them for their success.

Initially, Silversparro offered its solutions as APIs, which was not much effective in terms of revenue. This lead the company to evolve the model from API to fully formed product which offered full value to the clients. The company also added a services component where it works extremely closely with the clients to help them integrate the solutions and ensure the complete realization of business value.

Silversparro – Business Model & Revenue Model

Sparrosense AI apps are based on the monthly subscription model. The price may vary from 50 USD to 300 USD per camera per month depending upon the use case. The commercial model of the company is a combination of development charges and quarterly subscription to the Sparrosense Edge and Cloud Platform. The overall commercial solutions range from 5000 USD to 25000 USD per month.

Silversparro – Funding & Investors

Silversparro has raised funding worth $365K in two rounds till date.

Funding Date	Funding Stage	Funding Amount	Investor
6th December 2016	Angel Round	$65K	GSF, Rajesh Sawhney, Anand Chandrasekharan, Dinesh Agarwal (Indiamart CEO), Ashish Toshniwal, Sumesh Menon, M&S Partners, Powerhouse Ventures
1st January 2018	Seed Round	$300K	GSF- Rajesh Sawhney, Anand Chandrasekharan, Dinesh Agarwal (Indiamart CEO), Ashish Toshniwal, Sumesh Menon, UHV Technologies, M&S Partners, Powerhouse Ventures, Shangrila

Silversparro – Advisors & Mentors

The team is deeply thankful for the entire startup ecosystem along with special gratitude to Rajesh Sawhney, Anand Chandrasekaran, and Sri Peddu from Power House Ventures. Their combined efforts and suggestions have helped the startup to grow progressively until today.

Rajesh has helped us navigate fund raising and connected us with various investors and customers. Anand has helped us with shaping our product vision. Sri Peddu has always been encouraging especially during low points in our journey.

Silversparro – Awards & Recognitions

Silversparro was mentioned amongst top AI startups by Head of Niti Aayog.
Silversparro has been mentioned as the top video analytics companies.
Abhinav represented Silversparro on NDTV panel for ‘The New face of Artificial Intelligence’

Silversparro – Future Plans

For the past 6 months, the company has operationally break even. It has also worked with reputed companies like Viacom18, Aditya Birla Finance Limited, Nephroplus, CrownIt and Policy Bazaar. Silversparro has also recently added clients in core manufacturing – Merino Laminates Industries and PTC Industries Limited and are in pilots with large manufacturing clients in India and the US.

In the long term the company wants to build a comprehensive suite of Video Analytics Products & Services to enable productivity enhancement for every Industry.

Silversparro – FAQ’s

Who are the Founders of Silversparro?

Ravikant Bhargav, Abhinav Kumar Gupta, and Ankit Gupta are the founders of Silversparro.

Who is the CEO of Silversparro?

Abhinav Kumar Gupta is the CEO and leads Sales, Marketing, and other business aspects at Silversparro. He monitors the clients closely and ensures their businesses hit maximum success.

What is Sparrosense AI Supervisor?

Sparrosense AI Supervisor is a new tool for manufacturing facilities to monitor people and processes on their shop floors using the power of video analytics. Sparrosense provides new data & insights to solve delays, drive productivity and optimize various processes.

At what locations is the Sparrosense AI Supervisor available?

Sparrosense AI Supervisor is currently available only in India and the USA.

Will Sparrosense team also provide on-premise server?

Sparrosense does not provide on-premise servers but we would be happy to connect you to third-party hardware providers.

Would I be able to integrate data generated by Sparrosense AI Supervisors back to my Automation or BI systems?

Sparrosense comes with built-in APIs using which you may directly pull data from Sparrosense databases to your existing BI and automation systems.

Silversparro – Conclusion

Sparrosense AI Supervisor monitors people and process using the power of video analytics. Sparrosense AI Supervisor is a new tool for manufacturing facilities to monitor people and processes on their shop floors using the power of video analytics. Sparrosense provides new data & insights to solve delays, drive productivity and optimize various processes.

Provides data for processes which previously went unmonitored and unrecorded in real-time, works 24*7 and fully automatically.
Predicts delays by comparing the process timings against SOPs and prevents them by sending alerts and reminders via WhatsApp to workers & supervisors in real-time.
Enables diagnosis and optimizations of manual processes by easy data analytic tools.

April 11, 2021

Digitalization Influencing Business Model Innovations

Living in a dynamic era where speed and transformation is the key to victory, the call for better technologies comes into being. The most notable example of such a transformation is Digitalization. Digitalization means using digital technology in business models to generate income and value-producing opportunities. It is a process of shifting towards digital business. Digitalization can be seen in every segment. Digitalization is a mechanism for transforming all the sectors across the Globe.

Digitalization in common terms means the way people socialize i.e., the movement of interaction through analog technology(phone, mails) to Digital ones(e-mail, chats, social media). The increase in digitalization has impacted various business activities, including firms’ business models(BM). Digitalization has put stress on companies to exhibit on their prevailing strategy and examine innovative business opportunities at the early stages.

Value creation, value delivery, and value capture are the main aspects of any business. Thus, a combination of these features to create a system that delivers more value for both consumers and industry is termed as business model innovation.

Business Model Creation Tips

Key Drivers of Digital Transformation

The opportunity for digital transformation [https://www.quali.com/] fororganizations remains a constant presence that is becoming a prerequisite tosuccess. According to the latest IDG State of Digital Business Transformationreport, which monitors the state of digitalization on businesses, over 44…

StartupTalkyYash Gupta

Digitalization and Business Model Innovation Components

Digital technology affects business and its various components in the business that are listed below:

Digitalization & Value Creation

Value creation refers to offering customers what they want that is customized services and products as per their preferences. Digitalization allows companies to revise or extend their products and services through IoT. Digitalization also helps in increasing customer value and reducing transaction costs. It lets companies create novel offerings.

Digitalization & Value Delivery

It illustrates how activities are employed to deliver the insured value. This includes delivery resources such as- support staff, online monitoring systems, etc. Digital business models require developing new capabilities. New business models require updating operational activities and processes for Global distribution. Companies need to develop scalable platforms that utilize modularity to deliver effectiveness and efficiency.

Digitalization & Value Capture

The value capture model is related to revenue and economic viability. Digitalization helps in enhancing internal processes that facilitate the firm to improve cost efficiency. It enables increased revenue streams. It has some negative impacts that are new and increased risks related to business innovations.Most of the models rely on leveraging digital connectivity to expand globally rather than on the physical movement of the good and fixed investments in the market.

What is a Business Model? | Types of Business Models | StartupTalky

Ever wonder how businesses work? What goes on behind-the-scenes? How Googlemakes money? Or how there’s a McDonald’s a stone’s throw from wherever you are!Every business follows a certain style of working. And that style is itsbusiness model.First things first, defining what is a business model?…

StartupTalkyGorish Dua

Developments contributed to the rise of innovative business models:

Connectivity

Integration of people and businesses through digital technology is reducing the cost of acquiring data by enabling software features to deliver services to customers. The number of people connected to the internet is rising incredibly, while the number of connected devices is estimated at 21 billion by 2020.

Data Analytics and AI

Speedy advancements in data analytics and artificial intelligence are enabling companies to gain valuable insight into the global business and customers through the flow of data. This will give rise to employment for data analytics.

Digital Platform

The digital platform is fueling more than thirty percent annual growth in e-commerce, which is expected to reach $1 trillion by 2020. The concentration of buyers, sellers, and products on digital platforms lessens the cost of acquiring the customer base.

Industry 4.00

The new era of industrialization with advanced manufacturing capabilities such as- 3-D printing, advanced robotics, digital prototyping, and factory management systems are boosting productivity up to 30 percent and reducing the cost of labor.

Protectionism & State Capitalism

Protectionist barriers such as- tariffs, new procurement rules, and others are increasing the cost of cross-border trade. The increasing economic nationalism is forcing businesses to rethink their physical presence.

Connected & Mobile Consumers

Consumers are increasingly connected digitally. The rising popularity of pay-as-you-go business models is increasing for goods such as- automobiles, agricultural equipment, and aircrafts engines. These changes are altering demand and setting expectations for the products as well as services.

Best Revenue Model for Startups | Business Model in 2020

Every startup builds a business model that is viable and promises huge returnsafter a specific time frame. But for a business to sustain itself in this highlycompetitive ecosystem, earning revenue along with some investments is important.So, here are some revenue model [/tag/revenue/]i.e. a chann…

StartupTalkyPiyush Mishra

The emergence of New Business Models In Digital Markets

In digitalization, businesses interact with consumers through various web-based interfaces. The platform allows direct interaction with the end-users. It becomes challenging to classify the entire company into a specific type as digitized companies as they have more than one business line.

Multi-sided Platforms

Platforms that allow end-users to exchange and transact while leaving liabilities towards customers. Example- Uber, Airbnb, Amazon Marketplace, Facebook, Google, UberEATS.

Resellers

Businesses that acquire products from suppliers and resell them to buyers. In such a case, resellers decide the price of products. Example- Alibaba, Spotify, Tencent’s music distribution, Netflix.

Vertically Integrated Firms

Businesses with the ownership of suppliers integrate the supply side of the market. Example- Amazon e-commerce, Xiaomi, Huawei.

Input Suppliers

Suppliers of intermediary products use in production processes of goods or services in other firms. Example- Intel, Tsinghua Unigroup.

Cross Border e-Commerce users(millions)

The New Business Models

These business models take benefit of the technological developments that make it less expensive to reach customers and provide services. The following models are leading among companies that are succeeding in the new era.

Cross-border Servitization

Manufacturers relied on the physical selling of products, but due to rising trade barriers, it becomes hard to increase the market size. Thus, by focusing more on delivering digital services, manufacturers are generating new growth opportunities. The growth of IoT and advanced data analytics are driving this trend. Rolls Royce Totalcare program is one of the examples of servitization.

Asset Light Market Entry

Increased digitalization provides greater digital connectivity, Global IT platforms, and all aforementioned makes it easier for companies to enter new markets with fewer investments. For example, Xiaomi uses platform based partnerships. By teaming up with local E-commerce company- Flipkart, it entered the Indian market. By offering low-cost phones, Xiaomi captured 11 percent of India’s smartphone market with a sale of $1 billion in two years.

Global digital Systems

Global Digital Business ecosystems deliver the most reliable technology, featured products, and accelerate commercialization. Google android provides functions such as tools for managing workflow and coordinated manufacturing operations.

Global Personalization

Technology is helping companies to deliver personalized experiences through digital platforms directly to customer’s connected devices. Example- Starbucks has tuned AI algorithms to personalize offers, rewards, and recommendations to its customers based on their purchased history.

October 21, 2020
GPT3 is the upcoming revolution in Artificial Intelligence
OpenAI is an artificial intelligence research lab founded by Elon Musk. They have announced the arrival of the newest version of an Artificial Intelligence system it had been working on that can mimic human language, a model called GPT-3(Generative Pre-trained Transformer-3).

GPT-3 is the 3rd generation of OpenAI’s GPD, a standard language process that utilized machine learning to write text, answer different questions, and translate text. It examines a system of data, including text and words, then expounds on those samples to generate original production as an image or an article.

The GPT-3 is prior trained with a large amount of natural language text from the Internet. It costs at least $4.6 million to train on GPUs. GPT-3 is a big leap forward for AI because it has general intelligence that surpasses humans at a wide variety of tasks, from programming to researching to having intelligent conversations.

GPT-3’s language abilities are amazing. When appropriately processed by a human, it can compose creative fiction, it can produce working code, it can make sensible business memos, and substantially more. Its possible uses are limited only by our minds.

The Working of GPT-3

Working of GPT-3

As precisely explained by Sharif Shameem,

“By consuming terabytes of information to know the basic patterns in human communication.”

GPT-3 develops a considerable analytical group of English rulings and influential models of computer known as neutral nets to find patterns and regulate its rules of language functioning. GPT-3 processes 175 billion parameters of learning, which can perform any work it is allotted, making it more as compared to Microsoft Corp.’s Turing-NLG procedure, the second-most powerful model of language, it constitutes of 17 billion parameters of learning.

How AI Is Transforming HR Department?

Human resources is no less than a building-block for organizations. A robust HRteam can take companies and organizations to the next level; at the same time, aweak one can spoil established companies. It is vital to nurture and improve thehuman resources department. After all, this service line r…

StartupTalkyDevashish Shrivastava

Why GPT-3 is an important Deal to discuss?

GPT-3 is a significant model trained so far. For different work, GPT-3 is functional without fine-tuning or any update in gradients. It only works on some demonstrations through a textual interface with this model. The massive invention for standard language processing and deep learning has allowed GPT-3 to fulfill the below-listed points:
- Writing news contents from a headline with a human touch
- Quickly answers puzzles with accuracy
- Translates different languages, initially demanding for GPT-2
- Selects the best winding up out of several for a story
- Also performs five digital arithmetic accurately
- Guesses the last term of different sentences by identifying the paragraph context
A research study on GPT-3 with the title “ Models of Language are Few-Shot Novices” emphasized the outcomes of GPT-3 testing on tasks listed above against the fine-tuned models. In a different test, GPT-3 did better in comparison to the representations at zero-shot conformations.

Sam Altman: The entrepreneur who has excelled in every field!

The field of entrepreneurship is more of a roller coaster ride. With manypersonalities, we come across many stories. These stories are filled withstruggle and desire to reach the top of the mountain. Same is the story aboutSamuel H. Sam Altman. Sam is an American entrepreneur, investor, programme…

StartupTalkyYash Gupta

GPT-3, a Revolution in AI

GPT-3 of OpenAI has been the first leap in accomplishing it by attaining the high phase of human being-like intellect through NLP and ML. It outperforms human beings at highly economical and beneficial work-profits to humanity. GPT-3 is supported by different experiments directed by the primary testers who are left amazed by the outcomes.

At present, the newest version of the GPT-3 language processing system is accessible in private beta. Also, OpenAI is giving you access to the API by invite only. Still, there is a lengthy list for the paid theme, and it is predicted to be published in the upcoming two months.

GPT-3 is an incredibly sophisticated text indicator. A human gives it a piece of text as information and the model produces its best investment regarding what the next piece of text should be. It would then be able to repeat this procedure, taking the first information along with the recently produced text, regarding that as new input, and creating a subsequent piece, until it arrives at a length limit.

GPT-3 can figure out how to carry out a task with a single brief, better, at times, than different variants of Transformer that have been calibrated, so to speak, to specifically perform just that task. Simply feed it a huge amount of text till its loads are perfect, and it can proceed to perform entirely well on various specific duties with no further interruption.

GPT-3 has been a major plus in transforming AI by reaching the highest level of human-like intelligence through machine learning. The high functioning GPT-3 has the potential to completely revolutionize the language processing abilities of cognitive systems. The world of AI is constantly evolving and is getting closer to human intelligence day by day. In this scenario, the GPT-3 plays a significant role in understanding human intellect and trying to displace it.

This technology is still in its budding stages and there is a lot of scope for improvement. However, it has surely generated a lot of attention in the industry and it has certainly paved the desire for bigger and better neural networks.

Take Away

A tweet by Sharif Shameem about an experiment he did with the GPT-3:

“This is mind-blowing. I created a layout producer with GPT-3, where you only clarify the layout you need, and it makes the JSX code.”

How wonderful is it for an Artificial Intelligence to transcribe complicated computer codes from a simple English request, despite not having been accustomed to write codes or even understand English! There are many wonders to come in the future.
August 25, 2020

MeVero – A Digital Buddy to find your Passion and Purpose of Life!

Not many people realize they have completely transformed their lives as they grow, leaving behind the happiness of pursuing their passion. The competitive and fast-paced life leaves limited time to perform chores of routine life and spare no time and resources for your passion which was once your key task of the day. This is a common problem for most people in today’s world.

While many try to manage their time to reconnect with the long-lost passion, they don’t get motivated due to limited knowledge and failure to connect with people with a similar passion. But this is where you need a platform like MeVero which can help you discover the real you.

MeVero enables an user to effectively pursue his/her passion. It offers a host of Services, Applications & Tools which the user can use to pursue the area of passion.

MeVero – Company Highlights

Startup Name	MeVero
Headquarter	Palo Alto, California
Sector	EdTech
Founders	Kaushik Banerjee, Aritra Sarkar & Dipankar Ganguly
Founded	October 2018
Parent Organization	Wedoria Technologies
Website	mevero.com

About MeVero and How it Works
MeVero – Product/Services
MeVero – Target Market Size
Founders of MeVero and team
How was MeVero Started?
MeVero – Name, Tagline, and Logo
MeVero – Business Model and Revenue Model
MeVero – Competitors
MeVero – Growth
MeVero – Future Plans

About MeVero and How it Works

MeVero is the first global digital platform to offer Social + Knowledge + Services for the pursuit of passion. The platform has been completely built out of Kolkata, India. MeVero is probably the first Social media platform to be built from India. It connects its users to people of similar passion, so that strangers across the world can discuss, collaborate, create projects, and help each other pursue their passion. Following the belief, ‘happiness follows when you do what you truly love‘, the founders conceptualized MeVero – a Happiness Tech Platform.

MeVero is India’s first AI-powered platform of applications and tools for the effective pursuit of happiness. It enables people to pursue their life purpose(s) whereby they can learn, create, network, collaborate and join constructive communities based on common goals, undertake and showcase projects and finally monetize their skills. To define it better, MeVero is:

Socially Enabled Pursuit of Passion – connect people of similar passion around the world,
Personalized Knowledge – intelligent curation and personalization of knowledge around the area of passion,
Aggregation of Services for Pursuit of Passion – various tools & services for supporting the efficient pursuit of any passion.

MeVero – Product/Services

Understanding the need of millennials, MeVero offers the following services:

Life Navigators: Certified Life Coaches on the platform whom you can consult for understanding how to effectively pursue your passion. The first of its kind in the world.
Creation Tools: Online creation tools through which you can use to create and edit video, audio, image, photos, documents, spreadsheets, presentations.
Courses: A host of courses and programs in your passion offered in association with credible global e-learning platforms.
Learning Gallery: A pool of books, case studies, audio dramas, audiobooks, motion comics all devoted to help you understand what barriers you are facing and find inspiration from people who had broken these barriers and pursued their passion successfully.

They also offers content from specific Web resources for the content types, such as:

All are curated intelligently and personalized around a user’s area of passion.

MeVero – Target Market Size

As per an estimate, globally there are 220 million English speaking people on the Internet, who are unable to follow their passion effectively leading to disgruntlement and confusion. MeVero promises a 15 Minute of Happiness in the daily life of millennials, by personalizing their journey in every step of following their passion.

Founders of MeVero and team

Founders of MeVero are Aritra Sarkar, Dipankar Ganguly, and Kaushik Banerjee.

Kaushik Banerjee – Kaushik is the Co-founder and CEO of MeVero Inc. and an alumnus of Jadavpur University and IIM Lucknow. He spent 26 years in Marketing, Sales, Strategy and Profit Centre operations spanning across FMCG, Durables, Fashion, Telecom & Media. Kaushik was the Vice President & SBU Head of Anandabazar Patrika Group from April 2007 to September 2012. There he built the Digital Business from scratch and generated a revenue of USD 1 million in the first full year of operation.

Aritra Sarkar – Aritra is the Co-founder of MeVero Inc who spent more than ten years working in the media in both the US and India—where he handled corporate strategy, business development, and integrated marketing for two multi-media conglomerates.

Dipankar Ganguly – Co-Founder & CTO, Dipankar has over 25 years of global IT experience having served in different technology leadership roles at companies such as IBM, iGate, Tata Unisys, etc.

How was MeVero Started?

Both, Co-founders of MeVero, Kaushik and Aritra, had a long run in the Corporate world before commencing MeVero. Both were disillusioned with the pandemic of employee dissatisfaction rampant across all companies. They realized the potential and need for a global community of people pursuing their passion that will connect its users to people of similar passion, so that strangers across the world can discuss, collaborate, create projects and help each other pursue their individual passion.

Aritra set up his first tech venture, Wedoria Technologies in 2012, with a mission to help every human being find their purpose in life. In 2018, along with Kaushik, he started his second entrepreneurial venture, MeVero, to focus his efforts on enabling the pursuit of passions.

MeVero – Name, Tagline, and Logo

MeVero logo

MeVero’s tagline is “Find & Follow Your Passion in Life. Set Goals”.

MeVero – Business Model and Revenue Model

The business model of MeVero consists of:

Online Advertisement – Native Ads in the App via Facebook Audience Network to generate revenue through Ad impressions.
Cloud storage subscription – 500 MB Free for lifetime and plans starting $1/month after that.
Tool package subscription – Creative tool packages like Rich Text Editor, Photo Editor, Video Editor, etc. starting $1.5/month.
Commission on Life Navigation session booking – 25% commission on session booking amount (minimum $10/hour can be set as session fees by Life Coaches on MeVero).
Premium subscription – Users receive a completely Ad-Free Experience and a Daily Personalized Passion Digest Newsletter curated and delivered to their inbox, starting $1/month.

MeVero – Competitors

It is the first platform which tries to address the entire problem, so it has no competitors currently.

MeVero – Growth

MeVero launched its beta version product in October 2018 and today it has 100K+ Registered Users across 221 countries. The platform has recorded 200K+ App Downloads, 5K+ Content Downloads, 90K+ Veda Chats, 1K+ Firesides Created and 10K+ Goals Set. The company has lately launched MeVero 2.0 with enhanced features and a user-friendly website.

MeVero – Future Plans

Currently, MeVero Inc. is looking to raise capital to fund its technical development and user acquisition, and scale to 5 million users by June 2021.

August 23, 2020

Aiosell Technologies – Taking the Hospitality Industry to the Next Level!

Company Profile is an initiative by StartupTalky to publish verified information on different startups and organizations. The content in this post has been approved by the organization it is based on.

Just when we thought the hospitality industry couldn’t get any better and automized, Siddharth Goenka launched Aiosell Technologies in 2019. This venture is all about automated pricing & revenue management for hotels, combined with an all-in-one integrated hotel marketing platform.

The hotel industry is still using archaic systems with static prices and independent systems that do not integrate well with each other and leaves money on the table. Aiosell aims to solve the vision of maximizing revenues for the hotel industry, using automation, AI, and integrated technology systems. The owners of the Aiosell are hotel owners themselves, and hence this company was born out of a need in their own business. When they realized, there wasn’t a suitable alternative available in the market solving these issues, they decided to build a technology solution.

Aiosell Technologies – Company Highlights

Startup Name	Aiosell Technologies
Headquarters	Bangalore
Sector	IT
Founders	Siddharth Goenka
Founded	2019
Parent Organization	Aiosell Technologies Private Limited
Website	aiosell.com

About Aiosell Technologies and how it works
Aiosell Technologies – Target Market Size
Aiosell Technologies – Founders and Team
Aiosell Technologies – How did it start?
Aiosell Technologies – Name, Tagline, and Logo
Aiosell Technologies – Startup Launch
Aiosell Technologies – Business Model and Revenue Model
Aiosell Technologies – Startup Challenges
Aiosell Technologies – Funding and Investors
Aiosell Technologies – Growth

About Aiosell Technologies and how it works

The product of Aiosell uses several automation and AI algorithms to change prices in real-time to ensure the hotel gets the maximum business. When the demand is high, the price increases and vice versa. The system uses many other unique parameters to adjust these prices, including occupancy, demand, seasons, weekday, booking window, dates, etc.

The USP of the product is to use all these products in a very simple, easy to use method to automate dynamic pricing and simplify revenue management. The product also integrates all aspects of hotel marketing together to give a one-stop-shop marketing product for hotels.

The product started off using a simple pricing automation tool. Today, it includes all technology components of the hotel industry including Rate Shopper, Reviews Manager, Website & Booking Engine, Analytics & Reports, Travel Agent portal, etc. This pivot was made because the team realized that many hotels could not only use one aspect of hotel marketing, it needed to integrate all these aspects to give the best results.

Success Story of Observe.AI – Voice AI for Customer Care

With all the buzz about the modern technology with AI and VR that seem to betaking the world by surprise one after another, it has become imperative forcompanies to keep up with these trends and make the most of it. To sufficientlyprovide a solution to this, Akash Singh, Sharath Keshava Narayana,…

StartupTalkyVidhi Punamiya

Aiosell Technologies – Target Market Size

Aiosell’s target market consists of independent and chain hotels of all sizes (5 stars, 3 stars, 1 star) and home-stays & apartments that use online channels to get bookings for the hospitality industry.

There are about 6 million hotels only in the organized segment. Adding the unorganized segment and home-stays, this number can go above 10 million. Over the years, this number will only grow with more alternate accommodation being added to the supply.

“Since this is a highly fragmented market, our market share targets will be less than 1% of the market, which is a sizable opportunity for a B2B business,” said Siddharth Goenka, founder of Aiosell.

Aiosell Technologies – Founders and Team

Siddharth Goenka is the Founder & CEO of Aiosell Technologies.

Owner Aiosell Technologies — **Siddharth Goenka – Founder, Aiosell Technologies**

He is a Software Engineer from Purdue University and an MBA from the Indian School of Business, Hyderabad. He has previously worked in Microsoft as Software Developer and in Accenture as Management Consultant. Then, he went to join his family business and conceived Octave Hotels, a business hotel chain that grew to 7 hotels in 3 years. Siddharth brings a mix of software development, hotel owner, and marketing professional experience which is key to Aiosell.

The co-founder of Aiosell Technologies is Smriti Singh, whom Siddharth met because her husband was Siddharth’s boarding school friend. She is IHM, Bangalore graduate and was ex Revenue Manager at ITC hotels.

Siddharth looks after the overall product development, vision, and overall growth of the business. Smriti looks after client satisfaction and success. The team comprises 15 members, the average age of the team is 23 years. The culture at Aiosell is very young, energetic, flexible, and innovation-driven.

Hiring funda at this company is based on two pillars – attitude/potential, and honesty/ethics. Competence is given some weight but not very weightage, as that can be developed in other two qualities are present.

Aiosell Technologies – How did it start?

“Since we were in the hospitality industry, this was a need that was glaringly visible in the industry. The industry was rapidly changing with an increase in internet bookings/smartphone usage and changing customer behavior.” Added Siddharth Goenka, owner of Aiosell Technologies.

They were first trying this idea out manually using excel sheets, and when they succeeded, the team decided to make an automated product around it. For one year, they ran the concept manually with a service-led model, and when they were confident of the benefits involved, they changed it to a product-based approach.

The initial people they spoke to were friends and family in the hotel industry, who were new to the online business and had not wrapped their heads around increasing their hotel revenues digitally.

Aiosell Technologies – Name, Tagline, and Logo

AIOSELL – AIO means all in one, and also a pun on artificial intelligence ‘o’ttomation. The name and logo for this B2B company were formed based on some initial research and brand name availability.

Aiosell Technologies – Startup Launch

At Aiosell, product first – marketing second is the approach, rather than the other way. Make the product so unique and desirable, that it starts selling itself. Aiosell has several partnerships with other technology companies and revenue management companies, who provide complimentary services or products to its offering.

The company has formed revenue-sharing arrangements with these companies to grow. The team has now also started attracting leads through traditional product marketing channels like Google, Facebook, Linkedin, and Youtube.

Aiosell Technologies – Business Model and Revenue Model

The business model of Aiosell is SaaS/subscription-based. The listings at Aiosell are priced anywhere between $5 to $10 per room per month. Like in any Saas model, margins are more than 30%, and currently, it has got the business organically without burning a lot of cash.

Aiosell Technologies – Startup Challenges

One major challenge that Aiosell faced was to convince a large chain of hotels to try and use the product. This was accomplished by offering them free trials and personal attention by the founder, Siddhart Goenka. It was also followed by ensuring all their requirements kept getting back into the product development cycle so that the customer was satisfied. Word of mouth references from happy customers is the most relevant marketing channel to grow the business.

Aiosell Technologies – Funding and Investors

In June 2019, Aisoell technologies raised an amount of INR 10,00,000 through an early stage self-funded round.

Aiosell Technologies – Growth

150+ hotels located in 10+ countries and 100+ cities
Revenue generation- $20,000 per month ($250,000 per year)
Profit margins are as high as 20%.
Customers across India, Thailand, Malaysia, Singapore, Philippines, Russia, Kenya, Belarus, Greece, USA, and Canada.

Aiosell Technologies – Future Plans

“We want to grow to 500 hotels in 1 year and 5000 hotels in 3 years.” Concluded Siddharth Goenka while talking about his future plan.

May 7, 2020

Observe.AI – This AI-Powered Agent Will Take Your Operational Efficiency To Next Level

With all the buzz about the modern technology with AI and VR that seem to be taking the world by surprise one after another, it has become imperative for companies to keep up with these trends and make the most of it. To sufficiently provide a solution to this, Akash Singh, Sharath Keshava Narayana, and Swapnil Jain launched Observe. AI in 2017.

Observe.AI is an AI-powered agent enablement platform for voice customer service. Leveraging the latest speech and natural language processing technologies, Observe.AI enables organizations to quickly analyze 100% of calls. With Observe.AI, support teams improve call quality, monitor compliance, and coach agents into top performers. Observe.AI’s main aim is to transform the $300B voice customer service industry by turning every agent into your best brand representative through AI-based insights and coaching. In a digital world, agents provide a rare opportunity to humanize brands and improve the customer experience, Observe.AI wants to accomplish this through this venture.

Startup Name	Observe.AI
Headquarter	San Francisco, CA
Sector	Analytics, Voice AI
Founders	Akash Singh, Sharath Keshava Narayana, Swapnil Jain
Founded	2017
Parent Organization	Z21 Labs
Website	www.observe.ai

About Observe.AI and How it Works
Observe.AI – USP and Innovation
Observe.AI – Target Market Size
Founders of Observe.AI and team
How was Observe.AI Started?
Observe.AI – Name, Tagline, and Logo
Observe.AI – Startup Launch
Observe.AI – Funding and Investors
Observe.AI – Advisors and Mentors
Observe.AI – Growth

About Observe.AI and How it Works

Observe.AI' Dashboard & Features — Observe.AI’ Dashboard & Features

Observe.AI is a Voice AI platform that transcribes and analyzes 100% of voice customer service calls by using the latest Speech Recognition, Natural Language Processing, and deep learning technologies. This solves several problems for Contact Centers:

Fixing a broken Quality Assurance system: On average, only .003% of calls are reviewed for quality and compliance purposes. With Observe.AI, 100% of calls are analyzed. Additionally, with Voice AI call scoring is objective and data-driven (rather than randomly selecting calls to review, which is how the process works today).
Compliance & Security: The platform automatically identifies violations in compliance. Additionally, features like automatic PII redaction protect sensitive user data.
Targeted agent enablement and coaching: Voice AI enables supervisors to provide targeted, data-driven feedback to agents. On average, our customers provide 10X more feedback to agents per MO and have reduced onboarding time by more than 20%.
Operational improvements: With Voice, AI companies improve key contact center metrics, such as improving CSAT (5%); lowering Average Hold Time; lowering Dead Air; and improving the Quality Analyst to Agent ratio
Understanding the VoC to improve Customer Experience: Sentiment analysis via Voice AI helps companies understand how customers feel about the support experience and its products/services with objective proof.

Also Read: 13 Tips To Make A Video Ad To Pump Up Your Sales

Observe.AI – USP and Innovation

Legacy speech analytics and talent management systems are simply not meeting the needs of the world’s top brands. Today’s Voice Customer Service agents have a unique ability to emotionally connect with customers and are often a brand’s only frontline representatives. Observe.AI strives to turn every agent into the best possible brand representative through AI-based insights and coaching. The prime USP’s of Observe.AI include:

Built for Contact Centers: We offer the highest transcription accuracy in the Contact Center Space (80%, which is higher than Google and Amazon for Contact Centers). We’ve built our entire Platform around the Contact Center use case.
Rapid integration: We are the quickest solution to go live in the Speech Analytics Contact Center industry. Our customers go live in just two weeks and we offer one-click integration with Talkdesk in an industry where it can take 3MO+ just to get up and running.
Proprietary SpeechNLP: Our engineering and Machine Learning teams have rolled out some truly ground-breaking features for Sentiment Detection, Silence Detection, and automated Redaction on calls.

Observe.AI – Target Market Size

Industry: Voice Customer Service
Target Market Size: $300B

Advancements in Natural Language Processing, Speech Recognition, and deep learning will only continue to dramatically improve. This will increase transcription accuracy while opening up new opportunities to automate tedious processes, such as compliance tracking and quality evaluations. It will also open up new opportunities to augment agents with conversational insights on live calls in 2020.

With these advancements, support teams will be able to use Voice AI more efficiently and intuitively than ever immediately putting the data to practical use. With more voice data, support teams will be able to better understand performance trends and make predictions. New integrations and alliances will also help teams leverage learnings from Voice AI across other channels, including email and chat.

Also Read: Should You Have Pop-ups On Your Website?

Founders of Observe.AI and team

Swapnil Jain, Co-founder & CEO: Swapnil is an IIT Delhi graduate and comes with a strong technology background. Before Observe.AI, he led user growth at Twitter and opened Twitter’s India office. As CEO at Observe.AI, he focuses on product innovation.
Sharath Keshavanarayana, Co-founder & CRO: Sharath is a second-time entrepreneur with over 14 years of experience in building and managing global sales teams at Unbxd, AWS, and Akamai. As the CRO at Observe.AI, he focuses on go-to-market functions, such as sales, marketing, and Customer Success.
Akash Singh, Co-founder & CTO: Akash is an IIT Delhi graduate and has both high-tech and startup experience. He works from Bengaluru and manages the engineering team.

How was Observe.AI Started?

In 2017, the co-founders Swapnil and Akash had a hunch that advancements in Speech, Natural Language Processing, and AI were opening up new opportunities across every industry and vertical. When they took a trip to the Philippines, these two entrepreneurs happened to realized that they could use these technologies to transform the way work is done by the world’s 100M contact center agents.

In 2017, they brought in co-founder Sharath who has many years of experience working in Contact Center software. During an early trip to Manila, they were shocked to see how inefficient agents were working because of outdated processes and technologies. That’s because Contact Centers typically quality check just 1-2% of their total calls. That means agents, who take an average of 1000 calls per month, only receive feedback on 2-4 of those calls each month that are typically randomly selected.

In the Philippines, the co-founders saw that many teams were using multiple systems and spreadsheets just to quality check a single call. At a time when 1 out of every 2 customers goes unsatisfied with their experience, they knew there was a massive opportunity to make life better for both Contact Center employees and their customers. And hence they validated the idea for Observe.AI when the co-founders landed their first 100 clients and drove multi-million revenue in 9MO

Observe.AI – Name, Tagline, and Logo

Observe.AI’s Logo

The tagline of Observe.AI is “Turn every agent into your best brand representative with Voice AI.” That’s because the ventures believe that agents are the voice of the brand, and they interact with customers and prospects more often than anyone else at an organization.

Also Read: How to Get The Much-Needed Initial Traction For Your Startup

Observe.AI – Startup Launch

Observe.AI is a product-centric company, and it has built a world-class AI Platform. The numbers don’t lie and this AI-powered agent happens to have an 80% transcription accuracy (vs. industry-average 75%), 80% silence detection (vs 72%), and 87% sentiment analysis (vs. 78%).

“We also take onboarding and customer success very seriously. We get our customers to live quicker than anyone else in our industry (two weeks versus the typical 3MO) and offer dedicated onboarding, Customer Service, and ongoing training.” Said one of the co-founder – Swapnil.

Finally, Observe.AI has the unique advantage of having built several alliances early-on with companies like Talkdesk, Microsoft, and leading BPOs (ERCBPO and ItelBPO).

Observe.AI – Funding and Investors

Over the years, Observe.AI has raised a huge amount of funding. In August 2017, it raised $ 900K in the pre-seed round from Emergent Ventures. Again in January 2018, it raised an amount in the same round worth $120K from Y Combinator. Nexus Venture partners invested $7.1 Million in the seed round in May 2018. Recently in December 2019, it raised Series A funding worth $26.2 Million from Scale Venture Partners.

Date	Stage	Amount	Investor
August 2017	Pre-Seed	$900k	Emergent Ventures
January 2018	Pre-Seed	$120k	Y Combinator
May 2018	Seed	$7.1 Million	Nexus Venture
January 2018	Series A	$26.2 Million	Scale Venture Partners

Observe.AI – Advisors and Mentors

Andy Vitus, Partner, Scale Venture Partners
Jishnu Bhattacharjee, Managing Director, Nexus Venture Partners
Dick Costolo, Founder 01 Advisors, / Ex-CEO Twitter

Also Read: Success Story of Knowlarity- The First Ever Cloud Telephony Venture of India!

Observe.AI – Growth

Company size: 52
Work culture: Observe.AI has built one of the most diverse teams in the Bay Area and have a global culture that spans San Francisco, Bangalore, and Dallas, Texas. Two of the company values are trust and transparency. Critical information about the business and learning is shared at every level, and the top-level management trusts every employee to make the best decisions in their role/own their responsibilities.
Hiring: Observe.AI is hiring for roles across every department in our Bengaluru, San Francisco, and future Dallas office.
Funding: With the recent $26 Million Series A round, the total funding stands at $34.3M.

January 20, 2020

Tag: AI based startup

A Brief about Bharti Airtel

How does the Startup Accelerator Program help Startups?

Some Startups under the Accelerator Program

Vahan

Waybeo

Voicezen

Spectacom Global Pvt. Ltd

Lattu Kids

Conclusion

FAQs

How do Accelerator programs work?

What are the benefits of Airtel startup accelerator program?

What services does Airtel provide?

Veda Labs Highlights

About Veda Labs

Veda Labs – Founders

The Idea Behind Starting Veda Labs

Veda Labs – Name & Logo

Veda Labs – Business Model

Veda Labs – Funding

Veda Labs – Marketing Strategies

Veda Labs – Challenges

Veda Labs – Advisors & Mentors

Veda Labs – Awards & Recognitions

Veda Labs – Growth & Future Plans

Veda Labs – FAQs

What is Veda Labs?

Who is the founder of Veda Labs?

How does Veda labs work?

What Are Deepfakes?

Origin of Deepfakes- GAN

Startups cashing in on deepfake technology

Synthesia

Rosebud AI

Modulate.ai

Respeecher

D-ID

FAQ

What are Deepfakes and how are they created?

How do Deepfakes work?

What was the first Deepfake?

Conclusion

Ways of Demand Forecasting

Logistics and Order Fulfillment

Pattern Identification

Internal and External Causals

Evaluating different Scenarios

Short-Term Forecasting

Supplier Relationship Management

Marketing Campaigns

Consumer Demand Forecasting

Application of Demand Forecast

Conclusion

FAQs

What is artificial intelligence?

What are the 3 types of AI?

What is the purpose of artificial intelligence?

What are examples of artificial intelligence?

What is machine learning?

What is AI forecasting?

Silversparro – Company Highlights

Silversparro – About & How It Works?

Silversparro -Technologies Offered

Sparrosense Video Analytics Suite:

Sparrosense Plug & Play Video Analytics Apps:

Sparrosense Video Analytics for Enterprise – sample case studies:

Siversparro – Target Market

Silversparro – USP

Silversparro – Founders & Team

Silversparro – Name, Tagline & Logo

Silversparro – User Acquisition

Silversparro – Startup Challenges

Silversparro – Business Model & Revenue Model

Silversparro – Funding & Investors

Silversparro – Advisors & Mentors

Silversparro – Awards & Recognitions

Silversparro – Future Plans

Silversparro – FAQ’s

Who are the Founders of Silversparro?