AlphaSense
Product information, use cases, and access for AlphaSense.
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What is AlphaSense?
AlphaSense is an AI-powered market intelligence and search platform for finance and strategy teams that need to find actionable information across company insights, market data, and research. Its unified content environment brings together Tegus expert transcripts, broker research, company filings, private and public financial data, and a firm’s internal content, with search across more than 500 million premium financial and business documents.
It is aimed at organizations working in areas such as investment banking, hedge funds, private equity, asset management, venture capital, corporate strategy, consulting, life sciences and healthcare, and other sector-focused research functions. Users can work through AI-assisted research workflows to explore questions and produce synthesized answers, summaries, and research outputs, including support from the SuperAnalyst agent and Deep Research. AlphaSense also connects search and analysis to reports, slide decks, and office-based deliverables, supporting financial-model work in Excel and the population or refresh of presentations in PowerPoint. This makes it useful for professionals who need to move from an initial signal to traceable analysis and materials prepared for clients or decision-making committees.
Key features of AlphaSense
Unified research content
The platform brings together company filings, broker research, Tegus expert transcripts, private and public financial data, and a firm’s internal content. This gives finance and strategy teams one searchable content set for company, market, and transaction research instead of leaving those materials in disconnected places.
AI research and synthesis
SuperAnalyst provides an always-on AI agent for AlphaSense workflows, while Deep Research applies generative-AI reasoning models across the content sets available to users. Together, these capabilities support research questions that require synthesis across complex material, helping professionals develop a more complete view before they move to a decision or deliverable.
Research-to-deliverable workflow
Research can continue into slide decks and reports inside the platform, with support for building and iterating financial models in Excel and populating or refreshing presentations in PowerPoint. This suits teams that need to carry findings from search and analysis into client-facing or committee-ready deliverables without breaking the thread between the underlying research and the final output.
Citations and traceable assumptions
Outputs can include sentence-level citations, and the platform links deliverables and assumptions back to the research behind them. That traceability is useful when a team needs to review a synthesized conclusion, verify the basis of an analysis, or explain how source material informed a report or model.