Periodic Labs

Research on the record

• 2026-09-15Periodic Labs post-trains a 1T model on its own lab data to read diffraction resultsLevel 2 · Computed

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

Read on AI4S.fyi

• 2026-10-08Periodic Labs takes its tools to chipmakers first; superconductors wait on synthesis and testingInterviewLiam Fedus · Ekin Dogus Cubuk · Latent Space
• 2026-10-05Same Model, Different Harness: What Three Studies Show About the System Around a ModelBrief
• 2026-10-01At Periodic's scale, the lab needs AI to read its own dataInterviewLiam Fedus · The Frontier with Brendan Foody (Mercor)
• 2026-09-29Periodic Labs: training an AI scientist on experimental traces, not just papersInterviewLiam Fedus · Ekin Dogus Cubuk · The Generalist
• 2026-09-19Periodic Labs: When Experimental Results Become Training SignalBrief
• 2026-09-28Import AI 474: Platonic mindspace; TPUs in space; Zhipu starts an outer RSI loopCommentaryJack Clark · Import AI
• 2026-09-18Humans on AI #54CommentaryParadigm 3 (Nuño Sempere et al.) · Humans on AI

Also on the timeline

• 2026-05-07Periodic Labs is in advanced talks to raise at least $500 million at a $7.5 billion valuation, led by AMPCapital
• 2025-09-30Periodic Labs launches with a $300 million seed roundCapital

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

• 2026-05-07Round (unnamed) · at least $500 millionin talksLed by AMP (Anjney Midha)
• 2025-09-30Seed · $300MreportedLed by Andreessen Horowitz (a16z) · With Felicis, DST, NVentures (NVIDIA), Accel, Jeff Bezos, Eric Schmidt, Elad Gil, Jeff Dean, Radical VenturesStated use: hire, scale its labs and build its first AI scientists

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 →