M4
Foundation · Open source
Open-source infrastructure for controlled clinical data access, versioned clinical definitions, provenance, and agent-accessible workflows.
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A collaborative AI workspace for verifiable studies.
Lincei Labs helps clinical research teams turn study ideas into reproducible analyses. Agents define cohorts, write SQL, run statistics, and draft methods while every assumption, query, definition, and result is recorded for human review.
AI agents can make a plausible wrong study very quickly. Lincei Labs is the verification layer for agent-assisted clinical research: cohort definitions, phenotypes, statistical plans, methodology checks, provenance traces, and human approvals become reusable research assets. The bottleneck is no longer generating an answer; it is proving exactly how the answer was produced.
Vitrine
Interface · In the workshop
The UI foundation for hosted study workspaces where teams use agents, review cohort logic and checks, and export reproducible study artifacts.
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