Join leading sponsors using our physician-developed AI to accelerate trial enrollment, reduce screen failures, and cut recruitment costs by millions.
Charts processed per month
Overall accuracy
Saved from avoided delays
Active trials
85% of clinical trials face enrollment delays. Tufts CSDD studies show daily opportunity costs of $500K-$800K in unrealized drug revenues. A 5-month recruitment delay can result in $90M revenue loss.
Chart review takes hours per patient, creating bottlenecks that delay enrollment
Inconsistent screening leads to expensive failures and regulatory delays
Mid-trial amendments due to poor recruitment waste millions in development costs
Recruitment delays push back market entry and competitive advantage
Our physician-developed AI engine analyzes unstructured clinical notes and imaging to identify trial-eligible patients instantly.
AI reads and understands unstructured clinical notes, imaging reports, and lab values as physicians document care
Simultaneously evaluate patients against multiple trial protocols, maximizing enrollment opportunities
Enterprise-grade security with role-based access controls and cloud-native architecture
Our physician-developed AI is trained on diverse clinical scenarios and seamlessly integrates with your trial workflows.
Identify eligible patients in real-time as clinical data is documented. Never miss an eligible patient again and 2x recruitment speed.
Simultaneously evaluate patients against multiple trial protocols, maximizing enrollment opportunities and optimizing site efficiency.
Advanced analytics provide enrollment forecasting and site performance insights to optimize trial planning and execution.
Cosign AI is powered by our Retina Intelligence engine, trained by retina specialists on diverse clinical circumstances. Our solutions seamlessly integrate with your trial workflows and clinical practice.
Published evidence from Retinal Diagnostic Center across 728 consecutive patient records.
Single-site validation study
Across 3 AMD trial protocols
Average processing time
Retina Society 2025: "Feasibility of AI-Assisted Screening for Clinical Trials in Wet Age-Related Macular Degeneration"
728 consecutive patients from etinal Diagnostic Center across LUGANO/LUCIA, ASCENT, and CONSTANCE trials.
View Full StudyCONSTANCE: 98.8% accuracy, 100% sensitivity
ASCENT: 96.6% accuracy, 83.3% sensitivity
LUGANO: 95.8% accuracy, 80.7% sensitivity
Built by physicians for pharmaceutical-grade security, compliance, and scalability.
Enterprise-grade encryption and audit trails
Scalable infrastructure on Google Cloud and Microsoft Azure platforms
Seamless integration with Epic, Athena, Nextech, and other major EHR systems
Granular permissions for sponsors, CROs, sites, and investigators
Understands complex medical terminology and unstructured clinical notes
Instant analysis as clinical data is entered into EHR systems