Mitra Chem

People

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.

Funding rounds tracked

• 2024-05-13Series B (added investor) · UndisclosedconfirmedWith Alpha Wave VenturesStated use: scale iron-rich cathode production toward mass production by 2026
• 2023-11-08Series B · $60MconfirmedLed by GM Ventures · With IQT, TechMet-Mercuria, Zeon VenturesStated use: develop, deploy and commercialise US-made iron-based cathode materials, including LMFP for GM's Ultium platform
• 2021-11-15Series A · $20MconfirmedLed by Social Capital · With Richard Tsai, Fontinalis Partners, Integrated Energy Materials, Earthshot VenturesStated use: produce an iron-based cathode in North America, using machine learning to speed development

Each round links to its line on the funding record, with its source.

Also in Materials and chemistry on the funding board

The other companies the funding board files under the same field, latest round first. A list of what the record tracks, not a ranking or a market map.

• 2026-11-08Qingxi ZhiyanAngel · nearly 100M yuanBuilds models that read materials characterisation data (X-ray diffraction, electron microscopy, Raman and others), puts them into instruments and process equipment, and takes contract materials R&D; its first own material is a rare-earth permanent magnet.
• 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.
• 2026-10-13AlbertSeries 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.

All 18 in this field →