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Home / Technology / AI Chemist Speeds Drug Synthesis

AI Chemist Speeds Drug Synthesis

19 Nov, 2025

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Summary

  • Onepot AI compresses molecular synthesis from months to days.
  • The company uses AI chemist Phil and a novel synthesis lab.
  • Onepot AI secures $13 million in funding to expand operations.
AI Chemist Speeds Drug Synthesis

Onepot AI is poised to transform drug discovery with its innovative approach to molecular synthesis. The company addresses the critical challenge where promising drug candidates are often abandoned due to the difficulty and time required for chemical synthesis. By utilizing an AI organic chemist named Phil and a dedicated synthesis lab, Onepot AI drastically reduces the synthesis timeline from months to days.

The startup recently emerged from stealth, announcing $13 million in funding from investors like Fifty Years, Khosla Ventures, and Speedinvest. This capital infusion is earmarked for building a second lab in San Francisco, enhancing their compound discovery engine, and expanding the team. Onepot AI's process involves synthesizing molecules from a catalog for biotech and pharma clients, who then use these compounds in their experiments.

This technological leap not only speeds up drug discovery but also aims to broaden the horizons of what's possible in materials science. By rebuilding small-molecule synthesis from the ground up in the United States, Onepot AI seeks to ensure greater supply chain resilience and foster innovation in a field often hindered by traditional, time-consuming methods.

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Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Onepot AI utilizes an AI organic chemist named Phil and a specialized synthesis lab to rapidly create chemical compounds for drug discovery.
Onepot AI announced $13 million in funding, comprising pre-seed and seed rounds, to fuel its expansion.
Onepot AI is addressing the bottleneck of chemical synthesis, which often delays or halts the testing of promising drug candidates.

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