
AI is transforming healthcare, but the biggest bottleneck remains—annotating medical images with speed, accuracy, and scale. Frekil eliminates this roadblock. Frekil helps healthcare AI teams, medical device companies, and pharmaceutical companies 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 5x 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.

AI is transforming healthcare, but the biggest bottleneck remains—annotating medical images with speed, accuracy, and scale. Frekil eliminates this roadblock. Frekil helps healthcare AI teams, medical device companies, and pharmaceutical companies 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 5x 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.
Headquarters: San Francisco, CA
Product: Real‑World Evidence / clinical data intelligence platform for EHR & claims; medical image annotation tools
Founders: Nikhil Tiwari; Shivesh Gupta
Backer: Y Combinator
Funding: Pre-Seed (announced Apr 11, 2025)
Clinical data analysis and medical image annotation for clinical research, regulatory submissions, and AI model training.
2025
Healthtech / Clinical Research / Medical AI
Pre-Seed round announced Apr 11, 2025; amount obfuscated in sources
“Y Combinator-backed accelerator”