Frekil

About

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.

Founders

Nikhil TiwariCo-founder & CEO

I’m the co-founder & CEO at Frekil. Previously, I worked as a software engineer at Stripe (infrastructure org), Amazon, Marsh McLennan and worked in founding teams at startups StarsArena and Truscroll. I graduated from IIT Bombay last year, where I also served as technical lead of student body and built applications used by 10,000+ students. During semester exchange in Geneva, I had the opportunity to work on an AI research project at CERN.

Shivesh GuptaFounder

I’m the co-founder and CTO at Frekil, building AI-powered workflows to accelerate medical data annotation. Previously, I worked as a systems software engineer at Sony Japan and declined a full-time offer from an HFT to build Frekil. I graduated from IIT Bombay this year, where I also led the institute web and coding club.