Soge Intelligent Computing

Recent timeline

• 2026-09-24SJTU professor Zhenli Xu's Soge raises tens of millions of yuan for AI materials simulationCapital

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

• 2026-09-24Angel · tens of millions of yuanconfirmedLed by Fosun Capital · With Nantong Siyuan AI Pilot Fund, Yunqi Partners, Zhongying Ventures · Existing investors Zizhu KetouStated use: an automated materials pipeline, a lab, R&D staff and hiring

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.
• 2026-10-14ScimplifyStrategic 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.
• 2026-09-23Azulene 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 →