AI-powered market intelligence platform for smarter business decisions.
Overview
AlphaSense is a leading AI-powered market intelligence and research platform that accelerates decision-making for thousands of enterprises. By combining advanced natural language processing and generative AI with a massive library of 500 million+ premium business documents, it enables professionals to extract actionable insights from unstructured data. Users leverage its search and synthesis capabilities to navigate financial filings, broker research, earnings transcripts, and internal documents.
Founded year:2011
Founder:Jack Kokko, Raj Neervannan
Team size:100+
Popularity:7,000+ global enterprise clients
HQ:New York, NY, USA
Status:Active
Funding status:Funded
Revenue source:Subscriptions
Customer type:B2B
Funding:$1.8 billion total funding raised across 10 rounds
Integrations:Microsoft Excel, Microsoft PowerPoint, Salesforce, Various Document Management Systems
Founder story
AlphaSense was founded in 2011 by Jack Kokko and Raj Neervannan. Kokko, a former investment banker at Morgan Stanley, was motivated to build the company after experiencing the inefficiencies of manual research in his own work. The platform was created to transform how financial and corporate professionals process complex information through advanced technology.
What it does
• Employs generative AI and proprietary NLP to perform multi-agent research across qualitative insights and structured financial data
• Offers an AI-driven 'Deep Research' agent that autonomously synthesizes complex briefings, reports, and investment-grade insights at scale
• Integrates internal content like slide decks and meeting notes with premium external data to provide a centralized enterprise intelligence hub
• Provides real-time 'smart alerts' and sentiment analysis on market-moving events such as regulatory filings, news, and earnings calls
• Facilitates seamless workflow integration via native add-ins for PowerPoint and Excel, allowing users to build reports directly from research outputs.
Who it's for
Investment Bankers
Corporate Strategists
Portfolio Managers
Consultants
Why it works
Purpose-built financial AI models understand industry-specific terminology and context better than generic search tools, reducing manual research time significantly
Integration of internal and external data sets creates a single source of truth, enabling teams to leverage company-specific knowledge alongside global market signals
Generative synthesis converts disparate data into auditable, source-linked outputs, which increases trust and accelerates the final decision-making process
Continuous workflow support through PowerPoint and Excel add-ins ensures that intelligence translates directly into actionable work products without tool switching
Scale of the content library—over 500 million documents—provides a comprehensive foundation that is difficult for smaller or fragmented solutions to replicate.
Growth strategies
Expanding the agentic AI roadmap with tools like SuperAnalyst to automate complex, multi- step financial and strategic workflows.
Targeting enterprise- wide adoption in Fortune 500 companies by positioning the platform as an 'operating system' for competitive intelligence.
Strategic acquisitions (such as Tegus) to expand the library of expert interviews, private company data, and drivable financial models.
International expansion and headcount growth across EMEA and APAC to capture global demand for AI- driven research infrastructure.
Alternatives
Comparison overview
AlphaSense focuses on AI-driven search and synthesis of unstructured data, whereas traditional terminals like Bloomberg prioritize real-time trading data and proprietary financial feeds
[AlphaSense provides a specialized AI-powered search for qualitative insights , while traditional terminals are designed for real-time market data and quantitative trading execution/]