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An open-source AlphaSense alternative for biopharma

AlphaSense is a horizontal market-intelligence search platform — hundreds of millions of documents across every industry, with generative search that anchors answers to source snippets. It's good at what it does. OpenBio-Intel is the vertical, open-source take on the same core promise for one domain: biopharma clinical and regulatory intelligence.

The same core contract

AlphaSense's defining feature is that every generated claim links to its source snippet. OpenBio-Intel makes the same commitment structurally: the extraction schema forbids answers from model memory, every Smart Table row carries clickable citations (NCT id, PMCID, filing URL), and per-corpus grounding gates reject answers whose retrieved evidence shares no vocabulary with the question.

What being vertical + open buys you

OpenBio-Intel AlphaSense
Scope Deep on biopharma: trials, FDA (approvals and CRLs), literature, filings, FAERS, exclusivity Broad, cross-industry documents
Structure Structured comparison grids, landscape matrices, catalyst timelines — not just search + snippets Document search + generative summaries
Hosting Yours. Queries stay on your infrastructure Vendor SaaS
Methodology Open code, committed benchmarks Proprietary
Extensibility Fork it; add a source; swap the models Closed
Agents MCP server — usable inside Claude Human UI first
Price Self-hosted + LLM API costs Enterprise subscription

What AlphaSense does that this doesn't

Broker research and expert-call transcript libraries (licensed content an open project cannot redistribute), cross-industry coverage, mobile apps, enterprise onboarding. If your workflow lives on licensed sell-side content, an open-source tool is not a substitute.

Try the difference in five minutes

The quickstart gets you a running instance with a demo corpus. Ask it a question, click a citation, then open research_agent.py and read exactly why you got that answer. That last step is the one no closed platform can offer.