Trials designed on evidence, not estimates.
Clinical trial intelligence for sponsors and sites: protocol feasibility, site selection, and enrollment modeling built on EHR-grade real-world data, normalized through Rosetta and governed by AIGaaS.
What it does.
Protocol Feasibility
Test inclusion/exclusion criteria against real patient populations before the protocol is locked, so the enrollment cliff shows up early.
Site Intelligence
Site selection scored on actual patient availability, historical performance, and competing-trial saturation.
Enrollment Modeling
Cohort projections with subgroup analysis, refreshed as screening data lands, so the forecast keeps pace with the study.
RWE Pipelines
Real-world evidence from normalized EHR data, with computable endpoints for label expansion and post-market commitments.
AIGaaS-Governed
Model documentation, bias analysis, and audit trails that stand up to IRB and regulatory scrutiny, with governance built into the workflow.
Health-System Native
Built by operators who run Epic and MEDITECH environments, so site burden and clinical workflow are design inputs.
From protocol to site activation.
Define
Protocol criteria translate into computable cohort logic against EHR and claims data.
Locate
Feasibility runs across participating networks to find where eligible patients actually receive care.
Qualify
Site capacity, investigator history, and referral patterns rank the shortlist before outreach begins.
Monitor
Enrollment and retention track against forecast, with drift flagged while the study can still respond.
Transform trial feasibility and site selection.
Schedule a Senza ARC demonstration with our clinical trial intelligence team.