

Mater-AI, a UK-based AI materials startup, has raised Β£1.5m in a pre-seed round led by Twin Path Ventures with participation from Mishcon de Reya, One Planet Capital, XTX Ventures, the Conception X Angel Syndicate, Koro Capital and Tailored Solutions.
Over 70% of global energy, worth over $152 billion annually, is lost as waste heat, from data centres to heavy industry. Yet the last major breakthrough in thermoelectric materials happened in the 1950s with bismuth telluride, the semiconductor used in everyday technologies like heated car seats and portable coolers.
Mater-AI has developed a new platform for the discovery of more efficient thermoelectric materials that can turn heat into electricity or provide cooling without refrigerants. It combines AI and physics based modelling to accelerate design from decades to weeks, up to 438Γ faster than traditional R&D, optimising for properties like thermal and electrical conductivity to achieve higher efficiency, lower cost and scalability.
The company is initially targeting thermoelectric generators for defence, automotive and industrial IoT applications, where improved performance could unlock Β£3.4 to 4.6 billion in new market value. The technology could enable silent, solid state power sources for next generation defence systems, extend battery lifetimes, and enable self powered industrial sensors for continuous monitoring of machinery and remote infrastructure.
Founded by Dr Nickel Blankevoort (CEO), Gatleen Bhambra (COO) and Chelsea Williams (CTO), Mater-AI builds on research conducted by Dr Blankevoort at the University of Warwick in theoretical modelling of quantum nanoelectronics and thermoelectrics. During his PhD, he discovered three new material structures in a year through traditional methods. Mater-AI's platform now generates and evaluates 100 structures every hour.
Mater-AI has established partnerships with Cambridge University, Imperial College London and the Henry Royce Institute to validate its materials in the lab and scale towards commercial applications. The funding will accelerate R&D and team growth.