B2B Clinical Research Platform
Clinical trial matching and research coordination for faster, safer human review.
Help research coordinators organize synthetic patient information, compare it against trial inclusion and exclusion criteria, identify missing data, and prepare cases for principal investigator review — with full explainability at every step.
Research coordinators at hospitals and academic medical centers spend hours manually cross-referencing patient charts against complex trial protocols. Criteria are buried in PDFs, lab values are scattered across systems, and eligibility decisions lack audit trails.
Manual chart review for a single patient-trial pair can take 30–60 minutes.
Different coordinators interpret inclusion/exclusion rules differently.
Without audit trails, research teams struggle to document screening decisions.
TrialBridge AI uses a deterministic, rules-based matching engine to compare synthetic patient profiles against structured trial criteria. Every match includes a score, status, and plain-English explanation — always routed to human review.
Evaluate patients against all active trials in seconds.
See exactly which inclusion/exclusion rules passed or failed.
Identify gaps before coordinator outreach.
Create and track coordinator tasks through PI referral.
Accelerate pre-screening for multi-site trial portfolios
Standardize eligibility assessment across coordinators
Full audit trail for regulatory and IRB documentation
Deploy on Vercel with Aurora PostgreSQL for enterprise scale
Open the demo dashboard with 5 clinical trials, 8 synthetic patients, and precomputed match results across pediatric, cardiology, oncology, and autoimmune research areas.
Open Demo DashboardResearch workflow demonstration only. Not for diagnosis or treatment decisions. All patient data is synthetic. TrialBridge AI supports research coordinators in organizing information and preparing cases for human review — it does not diagnose, treat, prescribe, or make final medical decisions.