Scimplify

Recent timeline

• 2026-10-14Scimplify, which develops specialty-chemical processes in its own labs and coordinates 500 partner plants with agents, raises $25M led by Hitachi VenturesCapital

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

• 2026-10-14Strategic round · $25MconfirmedLed by Hitachi Ventures · With Henkel, Teknor Apex · Existing investors Accel India, Bertelsmann India Investments, Omnivore, 3one4 CapitalStated use: about $7.5M to expand into the US, including building out its manufacturing network there, and about $2M for further development of the Scinode platform

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.

• 2026-10-19MATARIASeed · 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.
• 2026-09-23Azulene LabsPre-seed · $3.4MTrains physics-constrained AI chemistry models on quantum-mechanical data, to predict things like drug binding more accurately for pharma and chemicals.

All 17 in this field →