£4m · Seed · Deeptech · Liverpool, UK
Matter Machine, a University of Liverpool spinout developing an AI-assisted platform for discovering inorganic crystalline materials, has closed £4m in pre-Series A funding. IP Group led the oversubscribed round, with Northern Gritstone, the University of Liverpool Enterprise Fund, Norrsken Evolve, LYVA Labs and the Northern Universities Venture Fund managed by Parkwalk participating. The company says the capital will expand its technical and commercial teams, develop the platform and support engagement with commercial partners.
Closing the loop between prediction and experiment
Discovering a useful material is not only a search problem. A candidate predicted by software still has to be synthesised, characterised and tested against the properties an industrial customer needs. Matter Machine is building around that full loop: the University of Liverpool says its approach combines materials chemistry, automated experimentation and machine learning to identify and optimise novel materials. The initial scope includes materials relevant to batteries, catalysts and advanced manufacturing.
The company is headquartered at the university’s Materials Innovation Factory, a research and industrial-collaboration centre co-created with Unilever. That gives the spinout access to experimental infrastructure alongside its prediction work. The commercial value will depend on whether those capabilities can produce validated candidates that fit a partner’s technical specification and development timetable, rather than merely generating more computational possibilities.
Matter Machine has not announced customers, deployments or a pricing model. Its stated plan to engage commercial partners therefore matters as an early test of the business: partner projects can define which performance targets are worth pursuing and whether the discovery process is repeatable across sectors. The £4m round funds that transition from academic capability towards evidence that industrial teams will commission, evaluate and eventually pay for the work.
Experienced leadership for the commercialisation step
Dr Gordon Sanghera, co-founder and former chief executive of Oxford Nanopore Technologies, has joined Matter Machine to lead its commercialisation strategy. The university’s company profile says Professor Matt Rosseinsky founded the spinout from research in Liverpool’s chemistry department, while the company also contributes to the AI Materials Hub for Innovation programme.
Sanghera’s appointment does not remove the technical and customer-validation work ahead, but it aligns the financing with the company’s immediate bottleneck: turning specialist science and shared laboratory infrastructure into a commercial organisation. The next meaningful milestone is not another prediction benchmark; it is evidence that industrial partners can take a candidate through validation and into a development programme.
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Why Europe’s deep tech problem isn’t funding — Martin Schilling & Deep Tech Momentum, EUVC · 4 March 2026. The piece argues that early customers, procurement ownership and clear commercial value are central to moving deep technology out of the laboratory, the same transition Matter Machine is now financing.
