Autonomous laboratory combining AI hypothesis generation with robotic powder synthesis. Experiments generate data that feeds back to AI, closing the loop.
Seed $300M at $1.3B (2025); Series A $750M at $7.5B (2026). Early revenue from semiconductor customers.
Updated Jun 2026Checked 10 Oct0 updates this week
Models read chemistry literature and simulations, then propose compounds with target properties.
For each candidate, models select which materials to mix, set temperatures and pressures, specify timing, and identify measurements for success detection.
Robotic system mixes powders, controls heating and pressure precisely, and runs instruments like spectrometers in real time, collecting raw data continuously.
Experiment results (including failures) generate data unavailable elsewhere. AI incorporates findings and proposes better hypotheses for the next round.
| Spec | Autonomous Materials Lab |
|---|---|
| Seed round (September 2025) | $300MR (reported) |
| Seed valuation | $1.3BR (reported) |
| Series A round (June 2026) | $750MR (reported) |
| Series A valuation | $7.5BR (reported) |
R reported by the company
Periodic Labs
AI scientist, autonomous materials labs
Periodic Labs (San Francisco, 2025) was founded by Liam Fedus, ex-OpenAI research VP, and Ekin Dogus Cubuk, ex-Google DeepMind. It pairs AI models with robot labs to discover new materials, starting with superconductors.
