MATARIA raises tens of millions of yuan to build AI engine for new materials
What's the deal? Chinese startup MATARIA has closed a seed round of several tens of millions of yuan, led by Legend Capital with participation from Xiaomiao LangchengDealroom has a profile for this one. Try Dealroom →. Dian Shi CapitalDealroom has a profile for this one. Try Dealroom → acted as exclusive financial advisor.
What does it do? MATARIA builds what it calls an AI4M (Artificial Intelligence for Materials) physics engine, using a multi-scale model to predict how materials behave from atomic to macroscopic scale. It says its system has achieved a ±1.2% error rate in strength predictions for commercial composites.
Who's behind it? Founder Liu Zheng is a materials science professor at Nanyang Technological University and a Clarivate Highly Cited Researcher for eight consecutive years. The team also includes An Bo, dean of NTU's Institute of Artificial Intelligence, who leads training of the materials model.
What's the endgame? MATARIA wants to move AI materials work from generating candidates to delivering engineering solutions, with scientists handling judgment and calibration while AI narrows the search. It says close to 20 aerospace, composite, and chemical companies already use its technology, and it has licensed an ultra-thin infrared material to an overseas photonics firm.
Why now? Over the next 18 months, MATARIA plans to release a deployable materials model, V1.0, and run pilots in three to five industries. Composites will be the first vertical, followed by semiconductor and infrared optoelectronic materials.
What could go wrong? Commercialising AI-driven materials research tends to be a long cycle, and the competitive field remains unsettled. The key test is whether MATARIA's reported results turn into repeatable deployments.
The signal: Investor interest in AI-driven materials discovery is rising fast, from semiconductor-focused Discovered Materials'Dealroom has a profile for this one. Try Dealroom → $9 million seed round to CuspAI's $450 million raise in July. The shift is toward proving candidates through simulation, experiment, and industrial partnerships — a closed loop MATARIA is betting its business on.
Read more: longbridge.com
Image credit: U.S. Army Combat Capabilities Development Command
