CuspAI
Unicorn Β· $2.6BCambridge, GB Β· Founded 2024 Β· 84 employees on LinkedIn Β· 25 known investors
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CuspAI develops AI models for materials science and discovery, and leads the AI Materials Foundry initiative that combines accelerated computing infrastructure with chemistry data and materials expertise. Its work targets applications across semiconductors, energy, and advanced manufacturing.
Also known as Cusp AI Β· Cusp AI Limited Β· CuspAI Ltd.
Founders & leadership
CuspAI was founded in 2024 by Max Welling and Chad Edwards.


Investors Β· 25
Also in the syndicate Β· 8
Funding
SEC filings, press & company announcements$930M disclosed across 3 of 5 rounds Β· 2024β2026
- $450MraisedJul 2026 Β· 4 sourcesSource β
- $450MSeries BJul 2026 Β· 3 sources
Bezos Expeditions (lead), Kleiner Perkins (lead), NEA (lead), AMD Ventures, Basis Set Ventures, Britain's Sovereign AI Venture Fund, Giant Ventures, Glade Brook Capital Partners, Invest-NL, John Doerr, Lightspeed Venture Partners, Lux Capital, New Enterprise Associates (NEA), Northzone, Phoenix Court, Prosus, StepStone, Temasek, Touring Capital, Tru Arrow Partners
Source β - $30MSeedJun 2024 Β· 3 sources
Hoxton Ventures (lead), Basis Set Ventures, Lightspeed Venture Partners
Source β
Source: company announcements and press reports β follow each round's link for the claim.
Valuation Β· disclosed
Disclosed eventsSource: SEC prospectus filings, and round valuations the company or its investors disclosed β follow each entry's link for the claim.
Company profile
researched Aug 2026CuspAI (Cusp AI Limited) is a Cambridge, UK-based company developing artificial intelligence systems for materials discovery. It builds chemistry "foundation models" that make predictions about materials in a manner analogous to how large language models predict language, and describes its technology as a search engine for the material world. Rather than relying on trial-and-error experimentation, customers specify the properties they need and the company uses generative AI, physics-based simulation and reinforcement learning to propose novel candidate materials, then simulates their properties and guides synthesis and experimental testing.
The company's platform, MIRA, coordinates the end-to-end discovery process from candidate design through simulation to experimental validation, including routing candidate compounds to laboratories judged suitable on criteria such as production capacity. MIRA is built on open-source components including Meta's UMA models, which simulate compounds at the atomic level to map electronic properties, and CuspAI's own kUPS toolkit, which simulates at the molecular level (useful for crystal structure work), improves GPU processing efficiency for mixed atomic/molecular datasets and assists in troubleshooting simulation errors. CuspAI also assembled training data from academic datasets for which it purchased exclusive AI training rights and from scientific journals. Its published open-source releases include kUPS and tojax (PyTorch-to-JAX translation), plus smaller tools such as tonno, slub, nanoargs and widom.
Application areas span semiconductors, batteries and energy storage, clean energy and hydrogen fuel cells, climate technologies including direct air capture of carbon dioxide, water purification and advanced manufacturing. In July 2026 the company launched the AI Materials Foundry, a consortium of more than 45 founding members spanning compute providers, laboratories, proprietary data holders and scientific expertise, with MIRA as the coordinating layer.
Founding story
The company was founded in 2024 by Chad Edwards and Max Welling. Edwards, who grew up partly in the Welsh village of Llanfyllin and was the first in his extended family to attend university, credits a chemistry teacher with sparking his interest in science; he took a PhD at Manchester University and worked at Google and at Quantinuum before CuspAI. Co-founder Max Welling is an academic AI researcher. An investor account describes the founding team as heavily cited in the field, combining researchers in AI, chemistry and engineering.
Business model
CuspAI pursues a dual approach: designing materials to order for large industrial partners under commercial agreements and partnerships, and developing materials for its own projects. Management has said the emphasis to date has been on making materials to partner specifications, chosen early on to work with partners that have clearly defined problems and a route to market. Access to MIRA-driven discovery is also offered through membership of the AI Materials Foundry, where members can request new compounds.
Commercial revenue derives from partner-funded materials design programmes in which CuspAI develops materials to customer specifications, complemented by participation in the AI Materials Foundry and by internally owned materials development projects. The sources do not disclose pricing, contract terms or revenue figures.
Traction
As of September 2025 the company had about 30 employees, hired in part from Google DeepMind and Meta, and said it had gone from a customer request for a material with specified properties to a novel material meeting those specifications within six months, versus a process it characterised as normally taking a decade, with an aspiration to reduce this to one to two months within two years. Partnerships include Hyundai Motor Group (sustainable energy applications) and Kemira (materials to filter PFAS from water), with semiconductor-industry partnerships under discussion. An investor account states the company works with NVIDIA, ASML and Hyundai and describes customer demand since the seed round as strong. The AI Materials Foundry launched in July 2026 with more than 45 member organisations.
Latest developments
In July 2026 CuspAI announced a $450m Series B at a $2.6bn valuation, co-led by Kleiner Perkins and NEA with a significant contribution from Bezos Expeditions, and simultaneously launched the AI Materials Foundry with more than 45 founding members including Nvidia (providing compute infrastructure), Meta's Fundamental AI Research team, Samsung, Hyundai Motor Group, Hitachi High-Tech and Merck. The capital is directed at expanding operations in the US, Europe and Asia-Pacific.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
CuspAI is one of several AI startups competing to apply machine learning to the discovery of new physical materials, a field described as rapidly intensifying in competition. Its $30m seed round in June 2024 was, per the company, the largest seed round for a materials science AI startup at the time, and one investor described it as the most competitive AI seed round in British history. CuspAI topped Sifted's AI 100 ranking of European AI startups valued below $1bn, and its Series B valuation of $2.6bn represented more than a quadrupling of the valuation attached to its September 2025 round.
The company positions itself as an AI-native materials search engine, letting users specify desired properties instead of running iterative experiments. It highlights synthesis-aware generative models designed to avoid proposing materials that cannot be manufactured, exclusive AI training rights to academic datasets, an end-to-end orchestration layer (MIRA) linking design, simulation and lab validation, and an advisory group including Geoffrey Hinton, Yann LeCun, Kristin Persson, Verity Harding, Lord John Browne and Martin van den Brink.
Technology
CuspAI trains AI foundation models for chemistry and combines them with physics-based simulation and reinforcement learning to generate candidate materials from specified target properties. It emphasises "synthesis-aware generative AI models" intended to produce materials that chemical manufacturers can actually make. The MIRA platform orchestrates design, simulation and experimental validation and is built on Meta's open-source UMA atomic-level simulation models together with CuspAI's kUPS molecular-level simulation toolkit for JAX. Training data includes academic datasets licensed with exclusive AI training rights and scientific literature. With Meta and Georgia Tech, CuspAI contributed to OpenDAC, described as the largest dataset of materials with potential to absorb and sequester carbon dioxide, containing more than 100 million datapoints.
Go-to-market
CuspAI sells through direct partnerships with large industrial corporates that bring specific materials problems, supported by co-development and joint announcements, and through the AI Materials Foundry consortium, which brings partners, laboratories, data providers and compute providers into a shared discovery network. Its website offers prospective partners a "Foundry Integration Session" booking. Investors have also facilitated introductions to corporate customers and industrial limited partners.
Large industrial and technology companies with defined materials requirements, including semiconductor manufacturers and equipment makers, automotive and energy groups, chemicals and water treatment companies, and corporate and academic research laboratories. Named partners and Foundry members include Nvidia, Meta (Fundamental AI Research), Samsung, Hyundai Motor Group, ASML, Applied Materials, Tokyo Electron, Lam Research, Hitachi High-Tech, Merck and Kemira.
Geography
Headquartered in Cambridge, United Kingdom, with a registered office at 20 Station Road, Cambridge CB1 2JD. The company has group entities outside the UK and EEA and stated in 2025 that it would open additional offices with a focus on Asia; proceeds from the 2026 Series B are earmarked for expanding operations across the United States, Europe and Asia-Pacific.
History
Founded in 2024 by Chad Edwards and Max Welling and incorporated in England and Wales as Cusp AI Limited (company number 15549537). A $30m seed round was announced in June 2024. The company's initial technical focus was materials for direct air capture of carbon dioxide, contributing to the OpenDAC dataset with Meta and Georgia Tech, before broadening into water treatment, batteries, hydrogen and semiconductors. A $100m Series A followed in September 2025, led by NEA and Temasek at a reported $520m valuation, and a $450m Series B at a $2.6bn valuation was announced in July 2026 alongside the launch of the AI Materials Foundry.
Risks & controversies
The company operates in a rapidly intensifying competitive field of AI-for-chemistry and materials startups, and press coverage suggests competitive pressure may have influenced the timing of its large fundraises. A recognised general challenge is that AI-generated material candidates can be too difficult to manufacture, which CuspAI addresses with synthesis-aware models. Its $520m Series A valuation was attributed to a single source familiar with the deal and the company declined to comment on it.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Founder mafia
5 people who came through CuspAI went on to found or lead other companies.
Timeline Β· 9
launches, deals, and filingsThe company said Series B proceeds would fund expansion of operations across the United States, Europe and Asia-Pacific.
Kleiner Perkins and NEA co-led a $450m Series B valuing CuspAI at $2.6bn, with a significant contribution from Bezos Expeditions and participation from new and existing investors; proceeds earmarked for expansion in the US, Europe and Asia-Pacific.
$450M source β
CuspAI unveiled the AI Materials Foundry, a consortium of more than 45 founding members including Nvidia (compute infrastructure), Meta's Fundamental AI Research team, Samsung, Hyundai Motor Group, Hitachi High-Tech, Merck, Applied Materials, Tokyo Electron and Lam Research. Its MIRA platform coordinates discovery from candidate design through simulation to experimental validation.
CuspAI topped Sifted's AI 100 ranking of the most promising European AI startups valued below $1bn.
Series A led by New Enterprise Associates and Temasek with participation from Nvidia's NVentures, Samsung Ventures and Hyundai Motor Group; valuation reported at $520m by one source familiar with the deal.
$100M source β
Former BP chief executive Lord John Browne and former ASML president and CTO Martin van den Brink joined CuspAI's advisory board, which already included Geoffrey Hinton, Yann LeCun, Kristin Persson and Verity Harding.
Alongside investing in the Series A, Hyundai Motor Group said it was partnering with CuspAI on sustainable energy applications, with potential work on batteries and hydrogen fuel cells.
CuspAI signed a partnership agreement with water company Kemira to find new materials that could filter PFAS from water supplies.
The company said its $30m seed round, announced in June 2024, was the largest seed round for a materials science AI startup at the time; Giant Ventures was an early backer.
$30M source β
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities Β· 1
corporate structureCompanies House Β· registry record
View on Companies House β- Registered name
- CUSP AI LIMITED
- Company number
- 15549537
- Status
- Active
- Company type
- Private limited company
- Incorporated
- 9 Mar 2024
- Registered office
- 20 Station Road, Cambridge, CB1 2JD
- Nature of business (SIC)
- 74909 β Other professional, scientific and technical activities n.e.c.
- Accounts
- last made up to 31 Mar 2025 Β· next due 31 Dec 2026
- Confirmation statement
- last made up to 8 Mar 2026 Β· next due 22 Mar 2027
Current officers Β· 5
- Deborah Carol Toms β secretary, appointed 8 Jul 2024
- Joshua David Coyne β director, appointed 19 Jul 2026
- Alyn Chad Edwards β director, appointed 9 Mar 2024
- Lila Tretikov β director, appointed 4 Aug 2025
- Max Welling β director, appointed 9 Mar 2024
Source: Companies House public register Β· retrieved 23 Aug 2026. Contains public sector information licensed under the Open Government Licence v3.0.
In the news
βΈResearch sources Β· 8
primary sources listed
- CuspAIcusp.ai Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does CuspAI do?
- CuspAI builds AI foundation models and the MIRA platform to design new materials to customer specifications.
- Who founded CuspAI?
- CuspAI was founded by Max Welling, Chad Edwards in 2024.
- Who are CuspAI's investors?
- CuspAI's investors include Basis Set Ventures, Hoxton Ventures, Kleiner Perkins, Lightspeed Venture Partners, New Enterprise Associates (NEA), Northzone, Temasek, Giant Ventures Global Llp and 9 more.
- How much funding has CuspAI raised?
- CuspAI has disclosed $930M raised across 3 of its 5 known rounds.
- Where is CuspAI headquartered?
- CuspAI is headquartered in Cambridge, GB.













