Accelerate study design, patient recruitment, site management, and real- time monitoring through AI. Deliver faster, safer, and smarter clinical outcomes—without adding operational complexity.

Optimize inclusion/exclusion criteria using predictive analytics and historic trial outcomes.
Use NLP and ML models to identify eligible participants from EHRs and real-world data, reducing screening failures.
Detect anomalies across data streams and ensure adherence to ICH-GCP, 21 CFR Part 11, and GDPR standards.
Optimize inclusion/exclusion criteria using predictive analytics and historic trial outcomes.
Enrollment Timelines
Cost Reduction
Predicting High-Risk Sites
Automated Insights
Simulated multiple study scenarios using digital twins to predict cost and duration.
Reduced patient matching time by 60% via AI-driven eligibility prediction.
Used machine learning to forecast site delays and resource bottlenecks.
Applied computer vision and wearables data to ensure protocol compliance.
Explore how AI can streamline your clinical operations—from protocol design to post- market studies.