AlphaSense vs Hebbia
A side-by-side comparison of AlphaSense and Hebbia — two options for data & market intelligence. Pricing, features, and honest pros and cons.
Category
Data & Market Intelligence
AI Copilots & Automation
Rating
4.3 / 5
4.6 / 5
Pricing
Enterprise / Custom
Enterprise / Custom
Best for
Growth investors bridging public and private research
Funds running document-heavy diligence who want auditable AI analysis
Key features
- Search across filings, research, and transcripts
- AI summarization and theme extraction
- Expert-call transcript library (Tegus)
- Broker research access
- Watchlists and alerts
- Matrix grid: run structured questions across thousands of documents
- Citations back to exact source passages
- Handles PDFs, decks, spreadsheets, and data-room exports
- Reusable analysis templates for repeatable diligence
- Enterprise security and private deployment options
Pros
- One search across public and primary sources
- AI summaries with real citations
- Tegus integration adds private-company depth
- Genuinely built for multi-document finance workflows, not chat-with-PDF
- Auditable outputs — every cell traces to a source
- Strong adoption among sophisticated institutional investors
Cons
- Enterprise pricing
- Public-market DNA — early-stage coverage is indirect
- Enterprise pricing beyond most sub-scale funds
- Requires workflow thought to get past ad hoc usage
- Overkill if your diligence is a handful of documents per deal