Periodic Labs
Periodic Labs builds AI scientists and autonomous robotic laboratories that conduct physical-science experiments to accelerate materials discovery, initially serving semiconductor, space, and defense enterprise customers with custom AI agents and proprietary experimental data.
- Company typePrivate
- Founded2025
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Periodic Labs does
Periodic Labs is a San Francisco-based AI and robotics company founded in 2025 by Liam Fedus (formerly OpenAI's VP of Research and co-creator of ChatGPT) and Ekin Dogus Cubuk (formerly a Google DeepMind scientist and contributor to GNoME and MatterGen). The company builds "AI scientists" — systems that combine large language models, reinforcement learning, and high-fidelity simulation with autonomous robotic laboratories to conjecture theories, design experiments, and iteratively learn from physical results. Its strategic thesis is that internet-scale text data has been exhausted and that the next frontier of scientific AI requires proprietary, physically generated experimental data, including negative results that are rarely published. The company is initially focused on materials discovery in the physical sciences — high-temperature superconductors, next-generation transportation materials, power grids, and applications relevant to semiconductor manufacturing such as chip heat dissipation.
The company's core offering is an integrated platform pairing AI research agents with autonomous laboratories capable of running thousands of physics and chemistry experiments, with each experiment producing gigabytes of proprietary data. Periodic Labs is deploying custom AI agents directly with enterprise customers, including a named semiconductor manufacturer tackling heat-dissipation challenges on its chips. The company operates two locations — its San Francisco headquarters and AI-powered robotics labs in Menlo Park — and is supported by a Scientific Advisory Board drawn from Stanford and Northwestern, with a five-person team of named academic advisors in chemistry, physics, and materials science. The company emerged from stealth in October 2025 alongside a $300 million seed round at a $1.3 billion valuation, one of the largest seed rounds on record, led by Andreessen Horowitz and Felicis with participation from NVIDIA's NVentures, Jeff Bezos, Eric Schmidt, DST Global, and Accel.
Periodic Labs operates a direct enterprise field-sales motion targeting semiconductors, space, and defense, with revenue beginning to accrue from initial semiconductor customers in 2026. A reported $500 million funding round at a $7.5 billion valuation was in advanced talks as of May 2026, representing a 5.7x valuation increase from the seed round within roughly eight months. The company had approximately 40 employees as of March 2026 and had recruited more than 20 senior researchers from Meta, OpenAI, and DeepMind. Beyond direct enterprise deployment, Periodic Labs runs an Academic Grant Program to support external pioneering research and joined the AMP Coalition in 2026 to procure shared compute resources alongside other AI labs.
Periodic Labs firmographics
Firmographics- Name
- Periodic Labs
- Website
- https://periodic.com
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Periodic Labs builds AI scientists and autonomous robotic laboratories that conduct physical-science experiments to accelerate materials discovery, initially serving semiconductor, space, and defense enterprise customers with custom AI agents and proprietary experimental data.
- Ownership category
- akta.pro rank
Periodic Labs industry classification
Industry- Product category
- AI-driven materials discovery platform
- NAICS
- Analytical Laboratory Instrument Manufacturing (334516), Research and Development in Nanotechnology (541713)
- SIC
- Laboratory Analytical Instruments (3826), Services-Testing Laboratories (8734), Services-Commercial Physical & Biological Research (8731)
- akta.pro primary industry
- Simulation-Based Learning & Virtual Labs (EDAGAEAG)
Keywords
Where Periodic Labs is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Periodic Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations
Revenue model
- Enterprise AI Solutions: Providing AI-powered scientific research solutions and custom AI agents to enterprise customers in semiconductor, materials science, and other industries.已经开始产生收入并获得半导体行业初始客户。
Go-to-market motion2 records
Distribution channels1 record
Marketing channels3 records
Periodic Labs product offering
Product offeringCore offering
Periodic Labs builds AI scientists paired with autonomous robotic laboratories that conduct physical science experiments and generate proprietary experimental data to discover new materials. The platform combines large language models, reinforcement learning, high-fidelity physics simulation, and robotic automation in a closed-loop system to autonomously conjecture theories, design experiments, and iterate on materials discovery, with initial focus on high-temperature superconductors and semiconductor heat-dissipation materials.
Product overview
Periodic Labs offers a unified AI-powered scientific research platform that combines autonomous robotics, high-fidelity simulation, and LLM-based research assistants to accelerate experimental discovery in the physical sciences. The platform integrates AI scientists with autonomous laboratories capable of conducting physical experiments and generating scientific data. The company is initially focused on discovering high-temperature superconducting materials for the semiconductor industry, including applications in heat dissipation and advanced chip architectures.
Differentiator
Problem solved
Functional benefit
Products and services
- AI-Powered Scientific Research Platform Unified platform that combines autonomous robotics, high-fidelity simulation, and LLM-based research assistants to autonomously conduct physical experiments and accelerate materials discovery in the physical sciences, targeted at enterprise R&D teams in semiconductors, space, and defense.
- Custom AI Agents for Enterprise R&D Custom-trained AI agents deployed to enterprise engineering and research teams to make sense of their experimental data and iterate faster on materials discovery, currently being deployed to a semiconductor manufacturer for chip heat-dissipation challenges.
Quantifiable outcome
- Successfully raised $300M seed round at $1.3B valuation
- +2 more outcomes
Companies that use Periodic Labs
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles2 records
Periodic Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature4 records
Periodic Labs partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered minor and core.
- AMP CoalitionminorComputing power coalition led by Amp (Menlo Park startup). Periodic Labs joined alongside Eleven Labs to negotiate collective deals with data center operators for shared computing resources.
- Semiconductor Industry PartnerscoreWorking with semiconductor manufacturer on heat dissipation challenges, training custom agents for engineers and researchers.
- Scientific Advisory Board (Bertozzi, Kanatzidis, Kivelson, Shen, Wolverton)corePrestigious academic advisors from Stanford and Northwestern Universities providing scientific oversight and credibility in chemistry, physics, and materials science.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
Periodic Labs competitors and assessment
Company assessmentDirect peers
- Citrine Informatics: AI-powered materials informatics platform serving enterprise chemicals, materials, and manufacturing customers. Directly comparable to Periodic Labs in applying AI/ML to accelerate materials discovery for industrial verticals.
- SandboxAQ: Enterprise AI and quantum company targeting materials, chemistry, and biopharma with AI-driven simulation and discovery. Closely comparable B2B enterprise AI-for-science model and customer base.
- Kebotix: Combines AI and self-driving robotic labs to discover new chemicals and materials. Operates autonomous laboratories with AI-driven discovery, matching Periodic Labs' core architectural thesis.
- Radical AI: Generative AI platform for materials science and chemistry with autonomous experimentation capabilities. Direct competitor in applying foundation models to materials R&D.
Broad incumbents
- Schrödinger: Public computational chemistry and materials discovery company with broad life-sciences and industrial-materials footprint. Larger, established player with overlapping AI-driven materials and chemistry capabilities.
- Google DeepMind: Originated GNoME, a foundational AI system for materials discovery, and employs co-founder Cubuk's former colleagues. Largest incumbent with similar AI-for-science mandate and far greater resources.
- Microsoft Research AI for Science: Microsoft's initiative applying foundation models and AI agents to scientific discovery, including materials. Broader incumbent with overlapping AI-for-science ambitions and substantially greater compute and distribution.
- IBM Research (AI for Science / Materials): Long-running corporate research effort applying AI to chemistry and materials discovery, including open models like IBM RXN. Established incumbent with adjacent capabilities but broader enterprise mandate.
Emerging players
- Insilico Medicine: AI-driven drug discovery company applying generative AI and autonomous labs to pharmaceutical R&D. Comparable methodology (generative AI + closed-loop experimentation) but focused on life sciences rather than physical materials.
- CuspAI: Early-stage generative AI company focused on materials design at the atomic scale, founded by DeepMind alumni. Closely comparable AI-for-materials thesis and emerging-venture stage.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Periodic Labs social profiles
Digital presencePeriodic Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Periodic Labs leadership team
Management profileNumber of profiles
Profiles2 records
Periodic Labs funding detail
Funding detailFunding overview
Funding rounds1 record
Investors24 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Periodic Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Periodic Labs
What does Periodic Labs do?
Periodic Labs builds AI scientists paired with autonomous robotic laboratories that conduct physical science experiments and generate proprietary experimental data to discover new materials. The platform combines large language models, reinforcement learning, high-fidelity physics simulation, and robotic automation in a closed-loop system to autonomously conjecture theories, design experiments, and iterate on materials discovery, with initial focus on high-temperature superconductors and semiconductor heat-dissipation materials.
Is Periodic Labs a public or private company?
Periodic Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Periodic Labs founded?
Periodic Labs was founded in 2025. It employs 11 to 50 people.
Where is Periodic Labs based?
Periodic Labs is headquartered in San Francisco, United States, in the North America region.
How does Periodic Labs make money?
One revenue line is on record: enterprise AI Solutions.
Who are Periodic Labs's main competitors?
Direct peers on record are Citrine Informatics, SandboxAQ, Kebotix and Radical AI. Broad incumbents are Schrödinger, Google DeepMind, Microsoft Research AI for Science and IBM Research (AI for Science / Materials). Emerging players are Insilico Medicine and CuspAI.
Does Periodic Labs have an API?
No public API is recorded for Periodic Labs.
What industry is Periodic Labs in?
Periodic Labs's product category is AI-driven materials discovery platform. Its primary akta.pro industry code is EDAGAEAG, Simulation-Based Learning & Virtual Labs. Its NAICS code is 334516 and its SIC code is 3826.