Recruitment fails on eligibility, not intent.
Structured and unstructured records hold the answer to who qualifies, but they sit inside the site's walls — where the AI has to go, not the other way around.
Manual chart review cannot cover eligibility signals hidden in unstructured notes and imaging at scale, so screen-failure rates stay high and timelines slip.
Clinical development, trial operations, feasibility, and data science teams, with academic and hospital study sites.
The model goes to the data. The data doesn't go anywhere.
Pre-screening runs against de-identified records at the site or inside a sovereign deployment you control — sovereign cloud, on-premise, or air-gapped. Source data is never required to leave the environment it already lives in for the model to read it.
Protocol-to-criteria translation
Inclusion and exclusion criteria become machine-checkable rules with the ambiguities flagged, not guessed.
Record-level pre-screening
Generative models read de-identified notes, labs, and history to surface candidates with the evidence cited.
Imaging analysis
Segmentation refines the shortlist against imaging endpoints — OCT today, extensible by modality.
Feasibility & site selection
Cohort counts per site before commitment, so recruitment plans rest on data rather than optimism.
Common questions about AI clinical trial pre-screening.
Does patient data leave the trial site?
No. Pre-screening runs on de-identified records at the site, or in a sovereign/on-premise deployment you control. Only de-identified, permitted derivatives move, for multi-site feasibility rollups.
How are inclusion and exclusion criteria applied?
Protocol criteria are translated into machine-checkable rules with ambiguities flagged for a clinician to resolve, rather than silently guessed by a model.
Does this replace clinical judgement?
No. The platform produces a clinician-reviewed shortlist with the evidence that triggered each match cited. A human always makes the final eligibility call.
Can it assess site feasibility before a trial commits?
Yes. Cohort counts per site are produced before commitment, so recruitment plans rest on data rather than optimism.
Bring us the protocol that's hardest to recruit against.
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Our proprietary AI orchestration platform for healthcare: one engine, a registry of reusable task modules and domain agents, and a governed knowledge base — deployed inside your walls and run by your team.