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AI FOR SCIENCE · ON THE RECORD

Deep Principle

Materials and chemistryHangzhouFounded 2024Website ↗

Generative models for chemical reactions and materials (OA-ReactDiff, React-OT), an agent called Mira, and a high-throughput lab, sold to chemicals and consumer-goods companies.

Research on the record

Graded by how far the evidence went, not how good the result is. See the methodology.

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

Latest roundundisclosedSeries A3 · confirmed · 2026-07-14
  • 2026-07-14Series A3 · undisclosedconfirmedLed by Fortera Capital · With T-Capital, Kangjun Capital, Shunxi Fund, GL Ventures, Vertex Ventures China, Gobi China · Existing investors Linear Capital, Legend Star, Baidu Ventures, Inspiration CapitalStated use: its AI Scientist, lab pipelines and partnerships
  • 2026-03-06Series A2 · undisclosedconfirmedLed by Jinma Investment · With XtalPi, Inspiration Capital, Baidu VenturesStated use: LLM + diffusion models, the Mira product line, its lab and in-house pipeline
  • 2025-11-24Series A · over 100M yuanconfirmedLed by Alibaba Entrepreneurs Fund Greater Bay Area fund (managed by Gobi Partners), Ant Group · With Lenovo Capital, Taihill Venture, Baidu VenturesStated use: its Mira agent, an L4 high-throughput autonomous lab, and customer work
  • 2025-03Pre-A · on the order of 100M yuanconfirmedWith Lenovo Capital, Legend Star, Jinqiu Capital, Baidu Ventures, Inspiration Capital · Existing investors GL Ventures, Linear CapitalStated use: rolling out its ReactiveAI platform in materials, energy and pharma
  • 2024-11-05Seed++ · undisclosedconfirmedLed by Vertex Ventures ChinaStated use: product R&D, commercial markets and international expansion
  • 2024-10-09Seed+ · undisclosedconfirmedLed by GL VenturesStated use: R&D, team and partnerships with chemicals and materials firms
  • 2024-06-06Seed · nearly $10MconfirmedLed by Linear Capital · With Verity Ventures, Taihill Venture, XtalPi, DP TechnologyStated use: R&D, hiring and market expansion

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.
  • 2026-09-24Soge 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 17 in this field →

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.