AlphaSense
Overview
AlphaSense is an AI platform built for financial research and market intelligence. It cross-searches SEC filings, earnings transcripts, broker research, expert interviews, and news, then uses generative AI to summarize and analyze them. More than 7,000 enterprises use it, and as of June 2026 it had surpassed $600M in ARR and raised $350M at a $7.5B valuation.
Key Features
Content Base
The proprietary content library on the platform now spans more than 500 million business documents.
- SEC filings (10-K, 10-Q, 8-K, proxies)
- Earnings call transcripts
- Analyst research reports
- Tegus expert transcripts
- Press releases and industry reports
- Internal documents ingested as private content
Tegus Expert Transcripts
The library holds 200,000+ expert interview transcripts covering 25,000 public and private companies, with plans to more than double APAC and EMEA coverage during 2026. These primary sources feed directly into investment decisions.
Generative Search
Rebuilt in January 2026, it is no longer just search: it is a research agent that finds documents, answers complex questions, and produces deliverables.
Deep Research
Automates complex research, turning work that took days into decision-ready reports in minutes. Granular citations keep every claim traceable back to the underlying document.
Workflow Agents
Agents automate entire analysis arcs such as company primers, competitive landscapes, and SWOT analyses, and 13 more were added in May 2026 for investment thesis, M&A, industry, and life science research.
Other AI Capabilities
- Generative Grid: analyze many companies and questions in a table at once
- SuperAnalyst: always-on AI agent for monitoring
- Smart Summaries: automatic summarization and theme extraction on long documents
- Semantic search: concept-level retrieval without keyword matching
Pricing
Pricing is quote-only, with most seats landing in the $10,000 to $40,000+ per user per year range. It scales with seat count and content add-ons.
| Item | Detail |
|---|---|
| Model | Quote-only (no public list price) |
| Per seat / year | $10K-$40K+ |
| Drivers | Seat count, content add-ons (e.g. Tegus) |
Typical Use Cases
- Institutional investor research
- Investment banking due diligence
- Corporate strategy competitive analysis
- Consulting client research
- Hedge fund idea generation
Strengths
- ✅ Large content base purpose-built for financial research
- ✅ Expert transcripts are searchable alongside filings
- ✅ Agents automate whole research arcs
- ✅ Granular citations make results verifiable to the source
- ✅ More flexible search and analysis than a Bloomberg Terminal
Weaknesses
- ❌ $10K+ annually is still expensive
- ❌ Overkill for retail investors
- ❌ Real-time trading data weaker than Bloomberg
- ❌ Japanese-language coverage lags English
Official Resources
- Website: https://www.alpha-sense.com