Autonomous AI agents collaborate across your entire pharmacovigilance data ecosystem to produce fully compliant Periodic Benefit-Risk Evaluation Reports — with zero human input.
Multiple AI agents work simultaneously to gather data from clinical trials, literature, and global databases.
Advanced ML algorithms process complex medical data and detect safety signals automatically.
Specialized AI agents communicate and collaborate to generate comprehensive reports.
Continuous monitoring and instant updates ensure your reports are always current.
Unlike single-model AI systems, our architecture deploys purpose-built agents for each task — collecting data, detecting signals, composing narratives, and verifying compliance — all collaborating in real-time to deliver a single, authoritative PBRER.
Built to the ICH E2C(R2) guideline. Compatible with EU QPPV reporting cycles and FDA safety update requirements.
We're onboarding select pharmacovigilance teams ready to lead the future of autonomous regulatory reporting.