About
AlphaSense provides AI-powered market intelligence search across documents, transcripts, and filings. Hit $500M ARR (Oct 2025), doubling in 18 months. Valued at $4B after $650M Series E (June 2024). Serves 6,500+ customers including 88% of S&P 100, Google, JPMorgan, and Microsoft. Acquired Tegus for $930M (July 2024). Average deal size grew from $28K to $66K ARR. Strong in asset management, consulting, and pharma. Planning IPO.
Key Facts
- [1]Founded: Founded in 2011 in New York, United States.
- [2]Funding: Total funding: $1.6B. Last round: Jun 2024. Stage: Late Stage.
- [3]Valuation: Valued at $4.0B.
- [4]Customers: Key customers include Amazon, Nvidia, Microsoft, Pfizer, JPMorgan.
- [5]Employees: Employee count: 1,001-5,000.
- [6]Revenue: Annual revenue/ARR: approximately $500M.
- [7]Website: Official website: alpha-sense.com.
- [8]AI Technology: Core AI/ML technologies: LLM / NLP.
- [9]Region: Region: Americas (United States).
Founders
Jack Kokko
Co-founder & CEO
Raj Neervannan
Co-founder
Key Customers & Partners
AI Technology
LLM / NLP
Large language models for NLP, chat, document understanding, and text generation
Classification
Market Segments
Tech Stack Layers
Details
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Frequently Asked Questions
What is AlphaSense?
AlphaSense provides AI-powered market intelligence search across documents, transcripts, and filings. Hit $500M ARR (Oct 2025), doubling in 18 months. Valued at $4B after $650M Series E (June 2024). Serves 6,500+ customers including 88% of S&P 100, Google, JPMorgan, and Microsoft. Acquired Tegus for $930M (July 2024). Average deal size grew from $28K to $66K ARR. Strong in asset management, consulting, and pharma. Planning IPO. AlphaSense is classified in the Research & Data segment at the Applications layer of the financial AI stack.
Who founded AlphaSense?
AlphaSense was founded by Jack Kokko (Co-founder & CEO) and Raj Neervannan (Co-founder) in 2011 in New York, United States. The company has been operating for 15 years.
How much funding has AlphaSense raised?
AlphaSense has raised $1.6B in total funding, placing the company at the Late Stage stage. The most recent round closed in Jun 2024. The company is valued at approximately $4.0B. AlphaSense generates approximately $500M in annual revenue. Among 58 funded Research & Data companies, AlphaSense ranks #5 by total capital raised. (Source: AIFI Map directory.)
What AI technology does AlphaSense use?
AlphaSense primarily leverages LLM / NLP technology. Large language models for NLP, chat, document understanding, and text generation. Within the Research & Data segment, 19 companies use this technology.
What market segment does AlphaSense operate in?
AlphaSense operates in the Research & Data and Trading & Markets and Wealth Management market segments. AI research and data companies provide the intelligence layer of the financial ecosystem — processing vast quantities of structured and unstructured data into actionable insights for investors, analysts, and financial institutions. The company also has a footprint in trading & markets and wealth management, reflecting its cross-functional approach to financial AI.
Where is AlphaSense headquartered?
AlphaSense is headquartered in New York, United States. The company operates in the Americas region. The team consists of 1,001-5,000 employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are AlphaSense's competitors?
Companies similar to AlphaSense in the Research & Data space include Unit21 ($92M raised), Kaaj ($4M raised), Lendbuzz ($310M raised), Ramp ($2.3B raised), Brex ($1.5B raised). These companies operate in related areas of financial AI: Unit21 focuses on ai-powered fraud and aml platform. Kaaj focuses on agentic ai for small-business lending automation. Lendbuzz focuses on ai auto financing for underserved populations. (Based on AIFI Map classification data.)
What products does AlphaSense offer?
AlphaSense builds applications-layer solutions for the financial services industry. The company's core offering: AI-powered market and search intelligence. The platform is powered by LLM / NLP technology. Notable users include Amazon, Nvidia, Microsoft, Pfizer.