Scale AI for Medical Scans
Intelligence Layer for Real World Clinical Data
AI is transforming healthcare, but the biggest bottleneck remains—procuring and annotating medical images with speed, accuracy, and scale. Frekil eliminates this roadblock. Frekil helps healthcare AI teams, medical device companies, and pharmaceutical companies procure and annotate medical images like X-rays, CTs, MRIs, etc., efficiently for AI training, clinical trials, and FDA approvals. Our AI-assisted platform speeds up annotation 10x while maintaining high accuracy through real-time quality control, consensus checks, and advanced 3D visualization. We also provide tools to track annotator performance, build custom workflows, and increase labeling accuracy. By combining efficiency with precision, Frekil enables teams to build high-quality datasets much faster, supporting the development and deployment of reliable medical AI and clinical research solutions.
Today, it takes months to understand how drugs perform in the real world, delaying safety insights, slowing approvals, and costing lives. Frekil turns that months-long process into minutes, with full auditability and regulatory-grade rigor. Frekil automatically generates real-world evidence of drug performance from EHR and claims data. It acts like an AI Biostatistician that understands medical ontologies and statistical methods, running complex analyses on autopilot. We help Pharma, Biotech, CROs, and Clinical Researchers to run RWE studies 100x faster and produce publication-ready retrospective studies and FDA/EMA-ready evidence packages with transparent lineage in minutes.
Frekil pivoted from building an AI-assisted platform for procuring and annotating medical images (for AI training and device approval) to an AI tool that generates real-world evidence on drug performance from EHR and claims data—a completely different product in health data analytics targeting a different workflow and problem.