Literature search & synthesis
Federated search across PubMed and Web of Science. Synthesis matrices grounded in the lab's prior work.
Research lab AI system — literature, protocol drafts, report scaffolding
| Dimension | General AI | Empirica |
|---|---|---|
| Literature review | General database search, no synthesis | Federated PubMed / Web of Science + synthesis matrix |
| Protocol drafts | Generic templates | Grounded in your lab's prior experimental patterns |
| Grant reports | Free-form generation | Structured to PI's review conventions and prior approved grants |
PI-led, mixed clinical & bench
Before deployment. Literature search and synthesis consumed the early weeks of every new project. Junior researchers re-traced ground that had already been mapped.
What changed. Empirica handles federated search across PubMed and Web of Science, drafts synthesis matrices, and scaffolds the first version of grant and protocol documents — grounded in the lab's prior work.
Stages 01–04 take 6–10 weeks. Stage 05 is the ongoing relationship.
30-minute working session. We map workflows and bottlenecks together.
Domain axioms documented. The core reasoning structure of your lab, written down.
Knowledge base, RAG pipeline, and agents — built with you, grounded in your lab's axioms.
Until it's in your lab's hands. And after.
Every project adds to your lab's knowledge base. The asset grows with use.