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UK startup Potential Sciences was founded on November 5, planning to use physics simulations to generate large-scale chemistry datasets and train AI models to predict drug candidate molecules, thereby skipping expensive laboratory experiments. The company has raised tens of millions of dollars in seed funding from the UK government's AI fund SovAI and Twin Path Ventures, among others, and has access to the UK's national AI supercomputer. Its approach is to bypass the limited-scale Protein Data Bank and use synthetic data to train stronger prediction systems, but whether it can accurately predict molecular binding to proteins remains to be verified. Other reports say that the London-based startup Potential Sciences has secured a seed round of tens of millions of dollars from the UK government's sovereign AI fund and Stripe CEO Patrick Collison, among other investors; the company uses AI, machine learning and quantum chemistry simulations to assist drug discovery, claiming it can reduce the AI computing costs required for chemical design to 1/100 of current levels, and the sovereign AI fund has also promised to provide computing power, with the specific amount and valuation undisclosed.
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UK Sovereign AI Fund and Stripe CEO Participate in Potential Sciences' Tens-of-Millions-of-Dollars FinancingDevelopments
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Nov 5
Tech.eu
UK Sovereign AI Fund and Stripe CEO Participate in Potential Sciences' Tens-of-Millions-of-Dollars Financing
London-based startup Potential Sciences has secured a seed round in the tens of millions of dollars, with participation from the UK government's sovereign AI fund and Stripe CEO Patrick Collison. The company uses AI, machine learning, and quantum chemistry simulation to assist drug discovery; its models are based on fundamental laws of physics rather than prior experimental data, and it claims this can reduce the AI computing cost required for chemical design to 1/100 of current levels. The sovereign AI fund has also committed to providing computing power to the company; the specific amount and valuation were not disclosed.
Wired AI
UK AI startup Potential Sciences uses physics simulations to generate data, skipping the lab for drug design
UK startup Potential Sciences was founded on November 5 and plans to use physics simulations to generate large-scale chemical datasets to train AI models to predict drug candidate molecules, thereby skipping expensive laboratory experiments. The company has secured tens of millions of dollars in seed funding from the UK government AI fund SovAI and Twin Path Ventures, among others, and has access to the UK's national AI supercomputer. Its approach is to bypass the limited-scale Protein Data Bank and use synthetic data to train stronger predictive systems, but whether it can accurately predict the binding of molecules to proteins remains to be verified.
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