AlphaSense is an AI-powered market intelligence and financial research platform that aggregates filings, transcripts,...
AlphaSense is an AI-powered market intelligence and financial research platform that aggregates filings, transcripts, broker reports, and other documents for fast, natural-language search. It's designed for finance professionals, consultants, and investment researchers who need to surface analyst-grade insights from hundreds of millions of documents. The platform offers annual subscription pricing with enterprise packages and per-seat options, though specific starting prices are not publicly listed.
AlphaSense is a market intelligence and search platform built for finance, consulting, and investment research teams. The platform uses AI-driven search to let users input natural-language queries and retrieve relevant insights from hundreds of millions of documents including SEC filings, earnings transcripts, and broker reports. Recent generative AI features—Generative Search, Generative Grid, and AI Workflow Agents—synthesize answers and summary tables from large document sets with direct source citations. The company surpassed $400M in ARR in 2024 and has received industry recognition from CNBC, Fast Company, and Fortune.
No, AlphaSense does not offer a free plan or free trial according to available research. The platform operates on annual subscription pricing with enterprise packages and per-seat options, but specific starting prices are not publicly disclosed.
Integration details were not found in our research. AlphaSense has been noted to operate as a fairly closed system compared to more open alternatives, which may limit interoperability with other tools. Check the official website for current integration capabilities.
AlphaSense excels in user satisfaction with a 4.6-star G2 rating and significantly higher scores than S&P Capital IQ Platform. Top competitors include FactSet Workstation, Rogo, Semrush, and Dealroom. While AlphaSense is praised for qualitative research and AI-driven search, users note it's more expensive and less open than some alternatives, with some search quality concerns compared to semantic search approaches.
Side-by-side pages for pricing, features, and best-fit use cases.
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