Tag: AlphaSense

  • Best AI Tools for Portfolio Management to Make Investing Smarter

    AI technology is redefining investment in that it makes the processes faster, simpler, and wiser. In fact, these innovations tend to churn vast amounts of data through machine learning, define optimal asset mixes, and execute trades quickly and carefully. Investors can expect intelligent guidance, automatic adjustment of position sizes, and plans that change markets. It captures a large amount of external data that provides invisible analytics. Reducing manual work and embedding behavior insights give even professional and beginner investors a definite advantage. The result will be a sleek and sustainable increase in portfolios that have the potential for significant scaling up.

    Tool Unique Features / Differentiators Target Audience / Best Use Case Key Strengths Limitations / Challenges
    Bloomberg Terminal Built-in chat for teams, mobile app, proprietary & third-party research Finance professionals needing real-time market data & trading tools Comprehensive market coverage, risk analytics, alerts Expensive, complex for beginners
    Alphasense AI summaries, tone checks, Smart Synonyms™, ESG checks Businesses, investors, researchers for market intelligence Fast document/data search, expert insights Limited visualization, collaboration restricted
    Finbox Automated cash flow/dividend models, API & Excel integration Investors & analysts needing valuation models & screeners Instant fair value estimates, curated portfolio ideas No direct broker integration, limited data export
    Betterment Goal-based investing, smart-beta & factor-based options Robo-advising & personal investors Tax-loss harvesting, easy app tracking Premium features for high-balance accounts only
    QuantConnect Open-source LEAN engine, Python/C# API, 15k+ backtests/day Quant researchers & developers for algorithmic strategies High scalability, backtesting, live trading Setup challenging for beginners, extra cost for datasets
    Wealthfront Direct indexing, FDIC-insured cash accounts, custom portfolios with crypto Digital-first investors seeking robo-advisory Automated portfolio creation, low fees No human advisor, limited mutual fund options
    NumerAI Crowdsourced AI models, staking with Numeraire (NMR) Data scientists & quantitative analysts Encrypted data, low fees, global talent pool Requires coding/data skills, only hedge fund exposure
    Nitrogen Wealth Automated Risk Number, AI-generated proposals, sandbox testing Financial advisors & wealth management firms Risk monitoring, client engagement, CRM integration Advisor-focused, not for direct retail investors
    Plaid  Aggregates 12,000+ financial institutions, fraud checks, wealth APIs Developers & fintech firms Flexible APIs, cross-platform integration Some features enterprise-only, add-ons may cost extra
    EidoSearch Predictive analytics, pattern detection, backtesting Institutional investors, quant researchers Custom asset strategy search, visual analytics Professional-level, IT support often required

    Bloomberg Terminal

    Website bloomberg.com/professional/terminal
    Rating 4.6
    Free Trial No
    Best For Finance professionals needing real-time market data, news, analytics, trading, and communication tools.
    Bloomberg Terminal - Best AI Tools for Portfolio Management
    Bloomberg Terminal – Best AI Tools for Portfolio Management

    Bloomberg Terminal, being an AI-powered solution for investing, ensures that decisions are taken quickly and smoothly by providing real-time market data, instant news, and intelligent tools to help with wise decisions. It has made tough jobs easy with AI insights, risk analytics, and personalized views. Spot chances, cut down risk, and act fast within the system. Speedy action is triggered by built-in reporting, alerts, and datasets. Teams stay linked via Built-in chat; one can keep updated while on the go with the mobile application. Strong tracking capabilities report on a portfolio’s performance, assisting users with refining and growing returns. In fast markets, the Bloomberg Terminal makes all work simple, sharp, and effective.

    Pros

    • Quantitative analysis of market data in real-time 
    • Broad range of tools for risk and performance attribution 
    • Insight from both proprietary and third-party research, 

    Cons

    • Expensive for smaller firms and individuals 
    • Model complexity may require training for a new user.

    Pricing

    Bloomberg Terminal offers custom pricing; contact them for a quote.

    Alphasense

    Website alpha-sense.com
    Rating 4.7
    Free Trial No
    Best For Businesses, investors, and researchers using AI-powered market intelligence, document search, and financial insights.
    Alphasense - Best AI Tools for Portfolio Management
    Alphasense – Best AI Tools for Portfolio Management

    Alphasense is powered by AI for fast investing through pulling insights from millions of reports, calls, and filings in seconds. Its smart tools consist of AI summaries, tone checks, and the Smart Synonyms™, which help managers to easily track trends, test ideas, and spot risks. For example, the platform enables one to model data into key numbers and set up auto reports. All deep research has been cut down to little. Both top and bottom reviews become simple and fast. The artificial intelligence machine learning, joined with the viewpoints of experts, smooths workflows, takes care of ESG checks, and has alerts to provide guidance in almost real time. 

    Pros

    • Speedy document and data searching.
    • AI summaries and chat-based research.
    • Integrated insights from experts and brokers

    Cons

    • Limited visualization tools. 
    • Collaborate only with licensed users

    Pricing

    Alphasense offers custom pricing; contact them for a quote.


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    Finbox

    Website finbox.com
    Rating 4.7
    Free Trial Yes
    Best For Investors and analysts needing AI-assisted valuation models, screeners, watchlists, and financial modeling tools.
    Finbox - Best AI Tools for Portfolio Management
    Finbox – Best AI Tools for Portfolio Management

    Finbox is a cloud AI platform that performs stock research in record time and with minimum effort. With coverage of over 100,000 global stocks, it provides fair value estimates instantaneously based on an automated cash flow and dividend model. Users can filter through more than 1,000 financial metrics to pinpoint the data they require with utmost precision. The platform also enables investors to vet top portfolios for investment ideas. Data can be effortlessly transferred to Excel or accessed via APIs, while an intuitive dashboard organizes the tools for both beginner and professional users under one roof. Custom watch lists, price alerts, and historical data facilitate rapid testing and feed into better strategies.

    Pros

    • Automated Value Models, offering an instant fair value 
    • Direct access through Excel and custom API access 
    • Ideas curated from the portfolios of premier investors. 

    Cons 

    • Absence of direct broker integration for live execution. 
    • Data export is very limited without upgrades.

    Pricing

    Finbox offers custom pricing; contact them for a quote.

    Betterment

    Website betterment.com
    Rating 4.8
    Free Trial Yes
    Best For Robo-advising, goal-based investing, tax-loss harvesting, and cash management.
    Betterment - Best AI Tools for Portfolio Management
    Betterment – Best AI Tools for Portfolio Management

    Betterment uses artificial intelligence to make portfolio management hassle-free and automatic. The firm combines tax-loss harvesting, strategic portfolio rebalancing, and goal-based investing with ETF diversification and some personalization. Through smart algorithms, asset allocation gets adjusted as goals work through changes or the market takes its own shape, thereby keeping portfolios low-risk and on track. Investors may watch growth in real-time, set up screens for social impact, and explore smart-beta or factor-based options for extra returns. The platform engages simplicity and insight to allow novice and advanced users to invest with confidence. With app-based access, people can check returns, get advice, and act on plans anytime, turning investing, saving, and wealth building into a smooth and guided process.

    Pros

    • Affordable, transparent fees 
    • Real hands-off automation with tax-loss harvesting
    • App-based goal setting and available for tracking 24/7. 

    Cons 

    • Financial planning has premium prices in premium plans. 
    • Advanced features are only available to high-balance accounts

    Pricing

    Plan Pricing
    Individuals $0–$20K Balance → $4.1/month
    Employers Request for Proposal (RFP)
    Advisors Request for Proposal (RFP)

    QuantConnect

    Website quantconnect.com
    Rating 4.7
    Free Trial Yes
    Best For Quantitative researchers, developers, and traders building, backtesting, and live-trading algorithmic strategies across multiple asset classes via an open-source engine (LEAN).
    QuantConnect - Best AI Tools for Portfolio Management
    QuantConnect – Best AI Tools for Portfolio Management

    QuantConnect is an open-source artificial intelligence platform for trading and portfolio strategy design that allows users to build, test, and run automated strategies in stocks, forex, crypto, and options. The cloud infrastructure can run over 15,000 backtests a day, complete with real-time risk checks and robust broker integrations, and there is also an API in either Python or C# for configuring custom signals. Traders can benefit from many extensive datasets, Jupyter notebooks, and tools for live trading with automated reconciliation. The platform also enables group activities, licensing from Alpha Stream, and heavy portfolio analytics, making life easier for both small traders and capital allocators in developing scalable, event-driven strategies. 

    Pros

    • Highest scalability and fidelity with respect to backtesting 
    • Open-source nature and community support, and monetization options 
    • Cloud notebook and API are available for custom modeling 

    Cons 

    • Setting up code for beginners could prove challenging 
    • Extra charges for specialized datasets

    Pricing

    Plan Pricing
    Researcher $60/month
    Team $120/user/month
    Trading firm $336/user/month
    Institution $1080/user/month

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    Wealthfront

    Website wealthfront.com
    Rating 4.4
    Free Trial No
    Best For Digital-first investors seeking robo-advisory services including automated investing, tax-loss harvesting, goal-based planning, and high-yield cash management.
    Wealthfront - Best AI Tools for Portfolio Management
    Wealthfront – Best AI Tools for Portfolio Management

    Wealthfront is an AI-driven wealth builder, so investors can build and configure portfolios without being overburdened by difficult tasks that diminish their time. The thing about a Wealthfront account is that the system itself can create a designated account and place one’s money into stocks, groups of stocks, bonds, ETFs, REITs, cryptocurrencies, or social-responsibility funds allocation, which will change over time as the market changes or new money is deposited. The app offers high-yield cash accounts, smooth movement of funds, and FDIC insurance up to $8 million. With direct indexing for Wealthfront accounts over $100,000, users can unlock a significantly higher growth rate by crushing the taxes.

    Pros 

    • low fee of 0.25%, and the minimum investment is $500. 
    • Tax-loss harvesting takes place every day for every account. 
    • Custom portfolios with fractional shares and some crypto exposure. 

    Cons

    • There is no human advisor to talk to. 
    • Limited direct mutual fund options or trading flexibility.

    Pricing

    Plan Pricing
    Annual Advisory Fee 0.25% annually

    NumerAI

    Website numer.ai
    Rating 4
    Free Trial Yes
    Best For Data scientists and quantitative analysts who want to build machine learning models, compete in stock-prediction tournaments, stake models with Numeraire (NMR), and potentially earn rewards.
    NumerAI - Best AI Tools for Portfolio Management
    NumerAI – Best AI Tools for Portfolio Management

    NumerAI is an unusual hedge fund that works with machine learning in a crowdsourcing capacity. Over 100 data science models create predictors to predict the world’s stock markets. This is achieved using encrypted, anonymized datasets with a combination of meta-models, which are designed as the finest choice for the quality of signals being measured by accuracy and diversity. NumerAI delegation gives its signal for prediction assessments for some staking in NMR coins. Those who get lucky receive rewards and can continue in the program. However, those getting down go O.S. and lose their connected NMR tokens, sort of self-correcting in nature from that perspective. 

    Pros 

    • Crowdsourced global data science talent
    • Superior confidentiality, encrypted model submissions 
    • Fees are lower than those of a traditional hedge fund. 

    Cons 

    • Necessary data science or coding skills for contribution 
    • No retail portfolios, hedge fund investment only.

    Pricing

    NumerAI offers custom pricing; contact them for a quote.

    Nitrogen Wealth

    Website nitrogenwealth.com
    Rating 4
    Free Trial Yes
    Best For Financial advisors and wealth management firms seeking AI-driven risk assessment, client engagement, proposal generation, and portfolio analytics.
    Nitrogen Wealth - Best AI Tools for Portfolio Management
    Nitrogen Wealth – Best AI Tools for Portfolio Management

    Nitrogen is an AI-powered platform for advisors to manage risk, design portfolios, and establish client trust. Key elements include automated risk scores (Risk Number), live asset reviews, AI-generated meeting notes, smart proposals, and sandbox testing of new ideas. It integrates with widely used CRMs and planning applications for a smooth workflow. The platform also allows easy onboarding and oversight, providing activity monitoring tools for compliance in real time. Custom analytics, clear reports, and optimized allocations scale advice and keep clients engaged. Nitrogen’s interface brings together automation and insight quickly, allowing advisors to work quickly and clearly-growing and managing portfolios with ease.

    Pros 

    • Automated visual risk and performance monitoring 
    • Integrates effortlessly with Proprietary Tech stacks and CRMs 
    • Real-time asset class drill-down and allocation optimisation 

    Cons 

    • Advisor-focused, unsuited for direct retail investors. 
    • Requires customization training for new users

    Pricing

    Nitrogen offers custom pricing; contact them for a quote.

    Plaid 

    Website plaid.com
    Rating 4
    Free Trial Yes
    Best For Developers and fintech firms needing secure, standardized access to users’ bank data and payment initiation across thousands of institutions.
    Plaid - Best AI Tools for Portfolio Management
    Plaid – Best AI Tools for Portfolio Management

    Plaid links more than 12,000 financial institutions, providing users and advisors with one dashboard to see all their accounts—banking, brokerage, retirement, cryptocurrency, and loans. Their AI tools sort transactions, generate fraud checks, and effectuate cross-platform syncing, hence making portfolio monitoring and risk control a cinch. Wealth APIs feed live data on investments, give real-time previews for liabilities, and accelerate the onboarding experience across apps. Plaid also helps surface trends in spending and saving, thereby facilitating personalized financial advice. The platform is highly flexible and developer-friendly. Considering security, privacy, and identity checks form its core principles, Plaid guarantees compliance while granting clean and reliable insights to investors and advisors about their entire financial picture.

    Pros 

    • comparable variety of accounts for global aggregation 
    • Platform-agnostic, mobile, desktop, and third-party apps compatibility 
    • Developer-friendly with very flexible APIs and analytics 

    Cons 

    • Advanced analytics and add-ons attract further costs. 
    • Availability of selected features only for enterprise clients.

    Pricing

    Plaid offers custom pricing; contact them for a quote.

    EidoSearch

    Website eidosearch.com
    Rating 4
    Free Trial Demo available on request
    Best For Institutional investors, quant researchers, and analysts who want AI/pattern-driven predictive analytics and probability-based decision tools across equities, futures, currencies, and more.
    EidoSearch - Best AI Tools for Portfolio Management
    EidoSearch – Best AI Tools for Portfolio Management

    EidoSearch detects the patterns and forecasts asset moves on behalf of investors, with speed and accuracy, through the scanning of millions of financial time series using advanced AI. Its search engine instantaneously retrieves analogous events in the market, revealing analogs and outcomes to inform active portfolio decisions. The platform produces predictive signals, backtests concepts, identifies periods of risk or opportunity, and allows users to test strategies against custom criteria for the market. It is directly integrated with leading order management systems (OMS) and data feeds in a seamless workflow; sophisticated dashboards and visual analytics make deep market research accessible to any investment team.

    Pros

    • Doing real-time big data action discovery.
    • Custom asset strategy predictive pattern search. 
    • Backtesting and forecast tools with visual analytics. 

    Cons 

    • very institutional and professional. 
    • Customization and integrations may need IT support.

    Pricing

    EidoSearch offers custom pricing; contact them for a quote.

    Conclusion

    AI tools have brought about changes in portfolio management in terms of speeding up the processes, automating some functions, and giving smart insights to investors. In managing investments, they utilize prospective models, risk checks, and large data sets to improve returns while cutting exposure to market swings. Rebalancing is easy under these systems since the strategies adjust according to changing conditions. Clear dashboards and easy access bring advanced investing within reach of more people and remove barriers that once limited smart portfolio design. It offers such powerful backing to new and professional users alike by marrying efficiency with transparency. If any imminent technology advances by made, portfolios will become sharper and flexible.


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    FAQs

    How is AI changing investing?

    AI speeds up investing by analyzing data, automating rebalancing, and reducing risks for smarter portfolios.

    What are some Best AI Tools for Portfolio Management?

    Some Best AI Tools for Portfolio Management:

    • Bloomberg Terminal
    • Alphasense
    • Finbox
    • Betterment
    • QuantConnect
    • Wealthfront
    • NumerAI
    • Nitrogen Wealth
    • Plaid
    • EidoSearch
  • AlphaSense: A Market Intelligence Platform to Make Smarter Business Decisions

    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 AlphaSense.

    The term ‘big data’ has become a buzzword in recent times. Businesses can confidently make informed decisions by leveraging the wealth of digital insights and embracing the power of business intelligence.

    Improved performance, commercial growth, evolution, and a healthier bottom line depend on data-driven smart business decisions. According to Mckinsey Global Institute’s survey, data-driven organizations are 23 times more likely to get and retain customers.

    But the question here is how to search through the extensive volume of data and access quick insights. It’s when AphaSense comes in handy. It is an AI-driven search engine that helps companies extract valuable insights from the enormous volume of data to make informed business decisions.

    Let’s learn more about AlphaSense- its startup story, mission, founders, funding, investors, partners, plans, and more.

    AlphaSense – Company Highlights

    Company Name AlphaSense
    Headquarters New York City, New York, United States
    Sector Search Engines
    Founders Jack Kokko, Raj Neervannan
    Founded In 2011
    Revenue $1.7B (2022)
    Website Alpha-sense.com

    AlphaSense – About
    AlphaSense – Founders and Team
    AlphaSense – Startup Story
    AlphaSense – Mission and Vision
    AlphaSense – Business Model
    AlphaSense – Revenue Model
    AlphaSense – Products and Services
    AlphaSense – Funding and Investors
    AlphaSense – Mergers and Acquisitions
    AlphaSense – Growth
    AlphaSense – Partners
    AlphaSense – Awards and Achievements
    AlphaSense – Competitors
    AlphaSense – Future Plans

    AlphaSense – About

    AlphaSense is a market intelligence and search platform that leverages machine learning (ML) and natural language processing (NLP) technology and is used by leading companies and financial institutions.

    Founded in 2011, the AI-based technology enables clients to make smarter business decisions by delivering insights from the extensive volume of public and private content, including news, equity research, transcripts, and trade journals.

    Headquartered in New York City, AlphaSense has a presence in the U.S., Germany, the U.K., India, and Finland. The company delivers services to multiple industries, including Consulting, Consumer/CPG, Energy, Financial Services, Life Sciences, Tech, Media, and Telecom, by providing access to 10,000+ premium data sources.

    AlphaSense – Founders and Team

    Jack Kokko and Raj Neervannan co-founded AlphaSense.

    Jack Kokko

    Graduated from Helsingin Kauppakorkeakoulu in B.Sc. Finance and The Wharton School in MBA, Jack Kokko is the co-founder and CEO of AlphaSense. Previously, he was co-founder and CEO of Silecs, Inc and Founding Chairman of BetterDoctor.

    Jack Kokko - Co-Founder and CEO, AlphaSense
    Jack Kokko – Co-Founder and CEO, AlphaSense

    Raj Neervannan

    Completed an M.S. in Computer Science from Bowling Green State University and MBA from The Wharton School, Raj Neervannan is the co-founder and CTO of AlphaSense. Moreover, he previously worked as CTO at ePolicy Solutions, ChoicePoint, Inc, and MajescoMastek.

    Raj Neervannan - Co-founder and CTO, AlphaSense
    Raj Neervannan – Co-founder and CTO, AlphaSense

    AphaSense employs more than 1,000 candidates across its offices in different countries.

    AlphaSense – Startup Story

    CEO and Founder, Jack Kokko, realized the inconvenience of manual research early on. He commenced his career as an investment banking analyst in Silicon Valley, and there he spent hours CTRL+Fing thousands of PDFs, a single keyword at a time to find a single insight.

    After a few years, Jack met his co-founder and CTO, Raj Neervannan, at The Wharton School. They both were in disbelief that the research process and tools available had not advanced all these years. It’s in 2011, both Jack and Raj sought to solve this issue by launching AlphaSense- a new type of search engine driven by ML and NLP, enabling companies to cut through the noise and quickly extract insights from thousands of resources and billions of data points.

    AlphaSense – Mission and Vision

    The company aims to empower professionals to make smarter business decisions with confidence and speed.

    AlphaSense – Business Model

    With AlphaSense, companies run a search as they do on Google. But the results that come back are relevant information for their business use case. This AI-driven platform not only searches for users’ exact search terms but also for business or financial synonyms. So, users need not have to think about what words their executives use when discussing the concept they are searching for.

    AlphaSense uses hundreds of algorithms to read every line of text and categorize information. So, it knows what organization or organizations are being discussed in a given document, what industry it’s operating in based on the language, and other factors that help users quickly narrow their search to a given industry and specific set of enterprises.

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    AlphaSense – Revenue Model

    AlphaSense offers flexible subscriptions for accommodating team sizes, content needs, and more, ranging from pre-seat options to enterprise packages. ‘Pre-Seat Options’ are for small and medium-sized teams, and ‘Enterprise’ packages are for large teams and global companies.

    AlphaSense – Products and Services

    The solutions offered by AlphaSense are categorized into ‘Corporate’ and ‘Financial Services.’ It enables to track, monitor, and share insights related to the following:

    • Corporate – Competitive Intelligence, Investor Relations, Corporate Strategy, Corporate Development
    • Financial Services – Asset Management, Private Equity & Venture Capital, Corporate Finance & Investment Banking, Hedge Funds, Sell-Side Research
    AlphaSense - Products and Services
    AlphaSense – Products and Services

    AlphaSense – Funding and Investors

    AlphaSense has undertaken 10 funding rounds and raised $620.1 million. Its latest funding round – Series D Round, was conducted on April 11, 2023, and raised $100 million. 24 investors back the company; the main ones are Viking Global Investors, Goldman Sachs Asset Management, CapitalG, BlackRock, and GrowthX Accelerator.

    Date Round Number of Investors Money Raised Lead Investor
    April 11, 2023 Series D 3 $100 million Capital G
    June 15, 2022 Series D 2 $225 million Viking Global Investors, Goldman Sachs Asset Management
    June 15, 2022 Debt Financing 1 BlackRock
    January 12, 2022 Non-Equity Assistance 1 GrowthX Accelerator
    September 30, 2021 Series C 11 $180 million Viking Global Investors, Goldman Sachs Asset Management
    January 1, 2020 Debt Financing 1 $28 million
    July 17, 2019 Series B 4 $50 million Innovation Endeavors
    March 6, 2016 Series A 6 $33 million Quantum Strategic Partners, Tribeca Venture Partners
    September 1, 2015 Grant 1 $1.9 million
    January 13, 2013 Seed Round 1 $1.6 million

    AlphaSense – Mergers and Acquisitions

    AlphaSense acquired 2 companies – Sentieo on May 11, 2022, and Stream by AlphaSense on October 25, 2021.

    AlphaSense – Growth

    The estimated annual revenue of AlphaSense in 2022 is $111.6 million per year, with its current valuation standing at 1.7 billion. Moreover, the monthly web visits grew by 65.27%, with 255,417 visits. Moreover, AphaSense’s customers grew to 3,500 in 2022 from 1,000 in 2019.

    AlphaSense – Partners

    AphaSense has partnered with the following:

    AlphaSense – Awards and Achievements

    AphaSense garnered many prestigious awards, and some of these are:

    • Leader Winter 2023 by g2
    • Best of 2023 by TrustRadius
    • 2023 Best Places to Work by BuiltIn
    • Best Software 2022 by TrustRadius
    • Fintech Breakthrough Award 2021
    • Best A.I./Machine Learning Data Initiative Award winner 2021
    AlphaSense: For Decisions That Matter

    AlphaSense – Competitors

    Some of its main competitors are:

    • Wolfram Alpha
    • LexisNexis
    • Algolia
    • Elastic
    • CI Radar
    • M-Brain
    • TechnoMile
    • Wide Narrow
    • Comintelli

    AlphaSense – Future Plans

    AlphaSense wants to focus more on its internal company search to help companies better organize and access their data.

    FAQs

    Who founded AlphaSense and when?

    Jack Kokko and Raj Neervannan co-founded AlphaSense in 2011.

    What does AlphaSense do?

    AlphaSense is a market intelligence and search platform that leverages machine learning (ML) and natural language processing (NLP) technology and is used by leading companies and financial institutions. It is an AI-driven search engine that helps companies extract valuable insights from the enormous volume of data to make informed business decisions.

    Who are the main competitors of Alphasense?

    Some of its main competitors are:

    • Wolfram Alpha
    • LexisNexis
    • Algolia
    • Elastic
    • CI Radar
    • M-Brain
    • TechnoMile
    • Wide Narrow
    • Comintelli

    What is the pricing offered by AlphaSense?

    AlphaSense offers flexible subscriptions for accommodating team sizes, content needs, and more, ranging from pre-seat options to enterprise packages. ‘Pre-Seat Options’ are for small and medium-sized teams, and ‘Enterprise’ packages are for large teams and global companies.