Shivesh Gupta
| Shivesh Gupta | |
| Nationality | Indian |
|---|---|
| Occupation | Co-Founder and CTO of Frekil |
| Known for | Frekil, intelligence layer for clinical real-world data |
| Education | IIT Bombay (B.Tech) |
Shivesh Gupta is an Indian technology entrepreneur and software engineer. He is the co-founder and chief technology officer (CTO) of Frekil, a health technology company that provides an intelligence layer for clinical real-world data (RWD). The company is backed by Y Combinator as part of its X25 batch.[1]
Early life and education
Gupta holds a Bachelor of Technology (B.Tech) degree from the Indian Institute of Technology Bombay (IIT Bombay). His Crunchbase profile lists his location as Uttar Pradesh, India.
Career
Before co-founding Frekil, Gupta worked as a system software engineer at Sony in Japan.
Gupta co-founded Frekil alongside Nikhil Tiwari, who serves as the company's CEO. Frekil describes itself as a real-world evidence (RWE) automation platform for the life sciences industry. The platform is designed to convert raw clinical data into regulatory-grade evidence. It supports multiple data sources, including electronic health records (EHR), insurance claims data, clinical registries, and proprietary datasets.[2]
The Frekil platform operates through a multi-step pipeline. In the first step, users connect their clinical data sources, and the platform automatically maps data schemas and standardizes terminologies to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). The system then uses artificial intelligence to draft study protocols aligned with U.S. Food and Drug Administration (FDA) standards, allowing users to define patient cohorts, covariates, and endpoints using natural language. The platform generates transparent R and Python code, which is executed in a secure sandbox environment without exposing patient data. Finally, it produces auto-generated tables, figures, and listings (TFLs) suitable for regulatory submission or academic publication.
The company has also described its work as accelerating the procurement and annotation of medical imaging datasets for healthcare AI and life sciences applications. User testimonials on the company website reference use cases such as target trial emulation, prognostic score validation, and sensitivity analyses on treatment sequences.
Frekil received backing from Y Combinator in the X25 batch and is at the seed stage of funding.
References