Periodic Labs
NativePrivateUpdated November 3, 2026AI-for-science/materials-discovery, ex-OpenAI researchers
- Website
- periodic.com
- CEO
- Liam Fedus
- Founded
- 2025
- HQ
- Menlo Park, United States
- Total Funding
- $1.1B
- Employees
- 51-200
Products & Offerings
AI Scientist Platform
A closed-loop system in which frontier AI models generate hypotheses, run simulations and design experiments, then learn from the results.
Autonomous Materials Lab
A high-throughput robotic lab, starting with powder synthesis, that makes and characterizes materials to produce proprietary experimental data.
Custom R&D Agents
Custom-built agents and mid-trained models that automate simulations and analyze customers' in-house experimental data, for example on semiconductor heat dissipation.
Executive Summary
What they do
- Builds AI scientists paired with autonomous robotic labs for physical sciences research
- Combines frontier LLMs, physics simulations and in-house experiments in closed-loop discovery
- Runs custom R&D engagements with semiconductor, space and defense customers
Why it matters
- Founders co-created ChatGPT and DeepMind's GNoME materials discovery work
- Lab-generated experimental data could be a training asset competitors lack
- $300M seed led by a16z; reportedly raising at roughly $7B
Best fit
- Semiconductor makers tackling heat dissipation and advanced materials problems
- Aerospace and defense R&D groups seeking AI-accelerated materials discovery
- Corporate R&D leaders open to deep, co-development research partnerships
Watch-outs
- No self-serve software product; engagements are bespoke research partnerships
- Main goal of a high-temperature superconductor remains scientifically unproven
- Very young company with few publicly named customers or results
Latest News
finance.biggo.com · 27 days ago
PositiveDealroom · 1 month ago
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Periodic Labs has one of the strongest teams and funding positions in AI for science, and a16z says it already works with semiconductor, space and defense customers. Still, it is a research organization less than 18 months old, with no packaged product and few public results, so it is not ready for routine enterprise procurement. Materials and semiconductor R&D leaders should hold exploratory partnership talks and track its progress against Lila Sciences, CuspAI, Orbital Materials and others before committing budget.
Signal Provenance
Latest observation date and source for each signal category
| Signal Category | Last Updated | Source |
|---|---|---|
Funding Signals Last funding round, Funding stage | Nov 1, 2026 | Montclare research agents |
Hiring Velocity Headcount, Headcount growth | Nov 3, 2026 | Montclare research agents |
Technical Output Research papers, GitHub activity | Oct 29, 2026 | Montclare research agents |
News Sentiment News mentions, News sentiment | Nov 3, 2026 | Montclare research agents |
Partnership Signals Enterprise partnerships, Distribution partners | Nov 3, 2026 | Montclare research agents |
Revenue Indicators ARR estimate, Revenue growth | Nov 3, 2026 | Montclare research agents |
Leadership Signals CEO tenure, Founder-led | Nov 3, 2026 | Montclare research agents |
Competitive Position Category rank, Market share | Oct 9, 2026 | Montclare research agents |
Why this Bluescore?
6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology