AI-Powered Feasibility for Smarter Clinical Trial Planning
Hive helps sponsors automate feasibility workflows, unify fragmented site data, and identify the research sites most likely to deliver successful trials.
Transforming Site Intelligence for Clinical Trials
Clinical trial feasibility remains one of the most manual and fragmented parts of study execution.
Hive brings feasibility questionnaires, site responses, historical performance data, real-world insights, and operational metrics into one AI-powered platform — helping sponsors make faster, more confident site selection decisions.
AI-Powered Feasibility Worflow
Hive automates end-to-end feasibility workflows, from protocol-specific questionnaire generation to site response analysis and explainable site ranking.
Optimized Data Quality
Hive helps structure, validate, and analyse site responses, reducing manual review time and enabling re-use of all past data.
Predictive Site Performance
Hive integrates fragmented data sources — including feasibility responses, historical site performance, real-world data, study cycle times, and site engagement signals — to identify sites most likely to recruit and execute successfully.
Explainable AI Recommendations
Hive converts multiple feasibility inputs into clear, explainable recommendations, helping clinical teams understand not only which sites to select, but why.
Select Better Sites.
Reduce Startup Risk.
Plan with Confidence.
Hive gives sponsors the intelligence layer they need before trial launch. By automating manual feasibility tasks and surfacing site-level risks earlier, Hive helps sponsors reduce uncertainty, improve planning decisions, and build stronger trials from the start.
Trusted by Leading Pharmaceutical Companies
Designed for Pharma, Biotech, and CRO Teams
Hive supports feasibility, clinical operations, study startup, and site engagement teams seeking a faster, smarter way to plan trials and select high-performing research sites.