AI Automation for CROs & Clinical Research Organizations

Protocol deviations — missed visits, incorrect dosing, wrong lab panels — can invalidate data, trigger FDA queries, and delay timelines by months. Most deviations stem from manual workflow coordination across sites, not clinical errors.

Clinical research associates spend hours entering lab results, adverse events, and endpoint data into EDC systems. Manual transcription from lab reports, paper CRFs, and site databases generates queries that delay database lock.

Compiling submission-ready data packages from multiple sites, labs, and systems is an enormous manual effort. Document formatting, cross-referencing, and quality review consume thousands of person-hours per submission.

Coordinating lab kits, sample shipments, result delivery, and protocol amendments across dozens of sites globally requires constant communication. When one site deviates from the protocol, the ripple effect impacts the entire trial.

Sponsors demand real-time visibility into enrollment, lab results, adverse events, and site performance. CROs scramble to compile reports from disparate systems — often delivering stale data because the aggregation process is manual.