ProofPilot Introduces STUDY RAIDAR AI Layer for Clinical Trial Intelligence

ProofPilot announced in a press release the launch of STUDY RAIDAR, an AI intelligence layer integrated into its clinical trial platform. The system continuously analyzes study design, site behavior, documents, and enrollment patterns to provide early risk detection and operational recommendations for clinical teams.

STUDY RAIDAR includes several modules such as Protocol Intelligence, Enrollment Optimizer Prediction, and Document Intelligence. Protocol Intelligence evaluates study protocols before they are finalized, scoring criteria like eligibility and site activation complexity to prevent costly amendments. Enrollment Optimizer Prediction compares actual and planned enrollment data, generating forward-looking forecasts and site-level recommendations when performance deviates from targets.

The platform also features conversational study intelligence tools that allow sponsors to query study data in natural language and generate custom visualizations. For site teams, Document Intelligence enables direct querying of study documents with cited responses that link to relevant sections.

ProofPilot has also introduced MCP connector integrations, allowing STUDY RAIDAR to connect with enterprise tools and data sources within existing workflows. STUDY RAIDAR is now available as part of the ProofPilot platform.