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Process Chemistry

Imperial and BASF create AI spin-off

Solve uses new chemical process techniques and machine learning to create efficient processes

by Alex Scott
July 18, 2024 | A version of this story appeared in Volume 102, Issue 22

A person in a lab looking down at a piece of equipment.
Credit: Jason Alden
Solve CEO Linden Schrecker has already started working on customer projects from the firm's labs in London.

Imperial College London PhD student Linden Schrecker has secured the backing of the university and BASF to spin out a company that uses artificial intelligence and experimental methods to rapidly devise efficient processes for making products such as drugs and fertilizers. Named Solve, the four-employee company has received undisclosed funding from BASF’s subsidiary Chemovator—a start-up incubator—and the venture capital firm Creator Fund.

Solve joins a growing number of companies pursuing AI-assisted synthetic route design.

Based in London, it is using innovative chemical processing techniques to build large sets of chemical reaction data, which it uses to train machine learning models that can predict the optimal routes for making chemicals. The approach is designed to enable the rapid scale-up of new processes with minimal waste and energy use. Solve expects that the processes it designs will also lead to a cut in plant construction and operating costs.

“Chemistry needs to become more data-driven,” Schrecker says in a press release. “Once you do an experiment, the data should be stored in detail so you can make use of it later. In future there will still be room for creativity by scientists, but they will be working from a more solid foundation,” he says. Before founding Solve, Schrecker was a BASF-funded PhD student at Imperial, working on the self-optimization of organic chemical reactions.

“Knowledge is progressing rapidly on all levels in chemistry,” Sonja Jost, CEO of Dudechem, another AI process technology start-up, says in an email. “AI can help us to get there faster—in particular if we combine it with existing intelligence.” Earlier this year, Berlin-based Dudechem raised €6.5 million ($7.1 million) to progress its route design technology for drug production, which is based on machine learning, AI models, and quantum chemical simulations. The firm reckons its processes can reduce waste by up to 70% and carbon dioxide emissions by 40%.

Chemify, an AI start-up spun out from the University of Glasgow, raised $43 million in 2023 to develop processes that use AI and robotics for automated drug and materials discovery and synthesis.

Software firms including Microsoft are also applying AI to chemical synthesis.

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