AI FOR SCIENCE · ON THE RECORD
Discovered Materials
Runs AI agents built on Anthropic models, with physics models it trained, to find new materials for semiconductor chips, starting with thermal materials for data centres and fabs.
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Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
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Funding rounds tracked
- 2026-08-10Seed · $9MconfirmedLed by Lightspeed India Partners · With Y Combinator, Peak XV Partners, Paul Graham, Gokul Rajaram, Thariq ShihiparStated use: expand the team and lab infrastructure and scale its AI agents for materials simulation, synthesis and experimental validation
Each round links to its line on the funding record, with its source.
Also in Materials and chemistry on the funding board
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- 2026-10-19MATARIASeed · tens of millions of yuanBuilds a multiscale materials model, from atoms to finished parts, that proposes candidates, narrows them with automated DFT and finite-element tools, and is tested by instrumented experiments; composites come first, then semiconductor and infrared materials.
- 2026-10-15HolyvoltVenture round · $45MTrains battery-materials models on 18 years of cell-cycling data from the high-throughput lab it acquired, Wildcat Discovery Technologies, and lets the models choose what the lab makes and cycles next. Its first material is DRX, a cathode family with neither nickel nor cobalt.
- 2026-10-14ScimplifyStrategic round · $25MDevelops manufacturing processes for specialty chemicals and critical materials in its own labs in Bengaluru and Hyderabad, then transfers them to a network of more than 500 partner factories. Its platform, Scinode, runs separate agents for research, manufacturing and quality control, choosing production routes and plants and tracking regulatory requirements.
- 2026-10-13AlbertSeries B · $55MSoftware and AI for chemistry and materials R&D at chemical and consumer-goods companies: it captures experiments, structures the data and lets scientists search and reason over it, suggest formulations and design experiments.
- 2026-10-12Matter MachinePre-Series A · £4MA University of Liverpool spin-out pairing AI prediction with experimental and characterisation expertise to find inorganic crystalline materials, aimed at batteries and catalysts.
- 2026-09-24Soge Intelligent ComputingAngel · tens of millions of yuanAtomistic AI models with long-range interactions, fast parallel simulation and battery device modelling, sold to battery and chemicals firms; spun out of Shanghai Jiao Tong University.
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.