AlphaSense
AlphaSense helps financial professionals extract insights from 500M+ documents using AI search.
AlphaSense is an AI-powered market intelligence platform that helps financial professionals make faster, more confident decisions by surfacing insights from over 500 million documents including SEC filings, broker research, news, and earnings transcripts. Using advanced NLP and machine learning, the platform interprets complex financial queries contextually rather than through simple keyword matching, and its next-generation Generative Search connects qualitative insights with structured financial data. Trusted by 88% of the S&P 100 and 70% of top 50 hedge funds, AlphaSense functions as a complementary tool to traditional platforms like FactSet and Bloomberg rather than a direct replacement.
Problem solved
Investment professionals spend excessive time manually searching through thousands of documents using keyword tools to find relevant market and company insights.
Target customer
Investment banks, hedge funds, corporate strategy teams, and buy-side analysts at large financial institutions and Fortune 500 companies (particularly those in S&P 100).
Founders
J
Jaakko Kokko
CEO & Founder
Former senior analyst on Morgan Stanley's technology M&A and telecom teams; founded BetterDoctor (acquired by Quest Analytics) and Silecs; holds MBA from Wharton and MS in Electrical Engineering from University of Oulu; 2023 EY Entrepreneur of the Year for New York.
R
Raj Neervannan
Co-Founder & CTO
Co-founded AlphaSense in 2011 with Jack Kokko; limited public background information available.
Funding history
NSF Grant
Unknown
2013
Led by National Science Foundation
Series A
Unknown
2016
Led by Soros Fund Management
Series B
$50M
2019
Led by Innovation Endeavors
Debt Financing
$28M
2020
Led by Unknown
Series C
$180M
2021
Led by Unknown
· Goldman Sachs Asset Management
Series D
$225M
2022
Led by Unknown
· Goldman Sachs Asset Management
Series D Extension
$100M
April 2023
Led by CapitalG
Series E
$150M
September 2023
Led by BOND
Series F
$650M
June 2024
Led by Viking Global Investors, BDT & MSD Partners
· JP Morgan, SoftBank Vision Fund, CapitalG, Goldman Sachs Alternatives
Total raised:
$1.63B
Industries
Pricing
Subscription-based with annual contracts. $10,000–$20,000 per seat annually; average enterprise deals range from $50,000–$100,000+, with large customers exceeding $1M. SMB plans average $44,754 annually; Enterprise plans average $125,124 annually. Expert Calls platform sold as add-on based on call credits or annual packages. Contracts include auto-renewal with 3–5% annual price escalation.
Notable customers
Google, JP Morgan, Pfizer, Microsoft, Nvidia, UBS, Unilever, Recurve Capital, Royalty Pharma. 88% of S&P 100, 70% of top 50 hedge funds, 6,500+ total customers.
Integrations
React, Google Analytics, Google Tag Manager, HubSpot, Nginx, Intercom. Expert Calls platform integrates with AlphaSense core search.
Tech stack
React (JavaScript frameworks)
Google Analytics (Analytics)
Intercom (Live chat)
Google Tag Manager (Tag managers)
HubSpot (Marketing automation)
Nginx (Reverse proxies)
Website
Competitors
Bloomberg Terminal
Comprehensive financial data platform with real-time market data; broader scope but less specialized in qualitative document search and AI-driven insights discovery.
FactSet
Established financial data and research platform with stronger quantitative analytics; AlphaSense complements rather than replaces FactSet as a specialized search tool.
S&P Capital IQ
Focused on real-time market data and investment banking research; offers stronger quantitative analysis but weaker content discovery capabilities compared to AlphaSense's specialized AI search.
Factiva
News and publication aggregation platform (~$5,000/year) with extensive media coverage; lacks sophisticated AI search technology and minimal machine learning integration.
Sentieo
Equity research and financial data platform; less specialized in natural language search across diverse document types.
Why this matters: AlphaSense has achieved exceptional scale and funding ($1.63B raised, $2.5B+ valuation) by solving a critical pain point for elite financial institutions—replacing tedious manual document search with AI-powered contextual discovery. The company's penetration of 88% of the S&P 100 and recent $650M Series F round (June 2024) demonstrate strong market validation in a competitive fintech landscape, positioning it as a leader in AI-driven financial intelligence for the buy-side.
Best for: Investment professionals, corporate strategists, and equity researchers at large financial institutions who need to quickly surface insights from massive document repositories using natural language queries rather than manual searching.
Use cases
Pre-investment due diligence
Investment bankers and private equity teams use AlphaSense to quickly surface relevant market trends, competitor intelligence, and regulatory filings across 500M+ documents before initiating due diligence on a target company. Instead of spending hours manually reviewing SEC filings and broker research, teams ask natural language questions and receive contextually relevant documents in minutes, accelerating deal timelines.
Earnings call analysis and competitor monitoring
Equity researchers and hedge fund analysts use AlphaSense to search across years of earnings call transcripts and management guidance to identify consistent themes, leadership changes, and shifting competitive dynamics. The platform's contextual understanding catches nuanced language that keyword search would miss, enabling faster identification of investment thesis shifts.
Corporate strategy and M&A planning
Corporate development teams use AlphaSense to understand market consolidation trends, identify potential acquisition targets, and assess regulatory headwinds across industries. The Generative Search feature connects qualitative market insights with structured financial data, enabling strategic teams to build comprehensive market maps without assembling research teams.
Alternatives
Bloomberg Terminal
Choose Bloomberg if you need real-time market data, terminal-based workflows, and comprehensive financial infrastructure; AlphaSense is better for pure document search and insights discovery.
FactSet
Choose FactSet if quantitative analytics and structured financial data are your primary needs; AlphaSense excels at qualitative search across unstructured documents.
Factiva
Choose Factiva if you primarily need news aggregation and media monitoring; AlphaSense offers deeper financial document search with superior AI-driven contextual understanding.
FAQ
What does AlphaSense do? +
AlphaSense is an AI-powered search platform that helps financial professionals extract insights from over 500 million documents including SEC filings, broker research, news, and earnings transcripts. Using natural language processing and machine learning, it interprets complex financial queries contextually rather than through simple keyword matching, and its Generative Search feature connects qualitative insights with structured financial data for comprehensive market analysis.
How much does AlphaSense cost? +
AlphaSense operates on a subscription model with annual contracts ranging from $10,000–$20,000 per seat. Average enterprise deals range from $50,000–$100,000+, with larger customers exceeding $1M annually. SMB plans average $44,754 and Enterprise plans average $125,124 per year. Expert Calls are sold separately as add-ons based on call credits or annual packages.
What are alternatives to AlphaSense? +
Bloomberg Terminal offers comprehensive real-time financial data and terminal-based workflows but is broader in scope. FactSet provides stronger quantitative analytics but weaker document search capabilities. Factiva focuses on news aggregation with less sophisticated AI search technology. Sentieo is another equity research platform with less specialized natural language search.
Who uses AlphaSense? +
AlphaSense serves 6,500+ customers including 88% of the S&P 100, 70% of the top 50 hedge funds, and major corporations like Google, JP Morgan, Pfizer, Microsoft, Nvidia, UBS, and Unilever. Target customers are investment banks, hedge funds, corporate strategy teams, and equity researchers who need rapid access to market and company insights.
How does AlphaSense compare to Bloomberg? +
AlphaSense specializes in AI-powered contextual search across documents and uses natural language understanding to discover insights, while Bloomberg Terminal provides real-time market data, terminal workflows, and broader financial infrastructure. AlphaSense is often used as a complementary tool alongside Bloomberg rather than a replacement, excelling specifically at qualitative document search where Bloomberg's strength is quantitative data and news terminals.
Tags
market intelligence
financial research
AI search
natural language processing
machine learning
document analysis
investment intelligence