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AI and Data for Cancer Therapeutics

Winter 2026Founded 20254 peopleSan Francisco, CA, USA
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AI insightcan contain mistakes
Cancer Drug Discovery DataTransactionalPharma companies and AI labsLow competition
Moat
Patient-derived, single-cell datasets with drug-effect screening are unique and difficult to replicate.
Key risk
Competitive datasets may emerge from larger pharma; regulatory/IP challenges in data licensing.
Why now
AI-driven drug discovery is accelerating and labs are willing to license specialized datasets.
Competitors
Tempus AI, Recursion Pharmaceuticals data licensing

About

Creating the largest patient-derived cancer single-cell dataset for licensing to pharmaceutical and AI companies. These datasets are unique as they screen the effects of various drugs and genetic medicines under the control of our DNA switches.

Founders ยท 2

Yash Rathod
Yash RathodFounder
UIUC

CEO @ Origin | Computer Science @ UIUC, Computer Vision and Reinforcement Learning Research, First Prize 2022 OpenCV AI Research Competition.

Malhar Bhide
Malhar BhideFounder
UIUC

CTO @ Origin | Prev: Computer Science @ UIUC, ML Research @ Wadhwani AI, Automorphic (YC S23). Published disease modeling research done in high school in Nature Scientific Reports.

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