| Ai.rplaneChips, models and products | A free public web app, built on LGM-Aero, that creates new aircraft designs and estimates their performance. released (free public app)Key facts Launched 4 Dec 2024 at airplane.physicsx.ai; also on the PhysicsX platform. Companion blog "Welcome to Ai.rplane" (4 Dec 2024).Made by PhysicsX · 2024-12-04 | Leonard Circus, London (EC2A 4DQ) (via PhysicsX) | physicsx.ai/newsroom/introducing-lgm-aero-genai- · physicsx.ai/newsroom | lab's own pages |
| Anser (Monumo)Chips, models and products | Monumo's own AI engine that tries out electric-motor design changes across millions of simulations a day. liveKey facts Applied to electric motors for EVs, home appliances, industry and roboticsMade by Monumo · 2026-04-07 | University of Warwick Science Park, Coventry (CV4 7EZ) (via Monumo) | uktech.news/the-circuit/in-conversation-with-mon · uktech.news/news/founder-interviews/monumo-found | one source |
| BeyondMathCompanies | London company building a generative physics model that produces engineering simulations quickly for engineering teams.Profile- Founded
- 2022
- Founders
- Alan Patterson — co-founder and CEO; Darren Garvey — co-founder
- Chief executive
- Alan Patterson — from null
- Hq
- London (England: London); other_offices: null
- Headcount
- null (plans to double headcount in 2026, per CIC)
- What it does
- A London company building a generative "foundational physics" AI model trained on first-principles physics. Engineers use it to run simulations of airflow, heat and similar problems much faster than conventional simulation. It works with customers in cars, aerospace, electronics, data-centre design and chip-making, including a Formula 1 team.
- Research focus
- physics foundation models; engineering simulation (aerodynamics, thermal management)
- Models and products
- foundational physics AI model (unnamed) — 2026
- Customers or partners named
- Honeywell — STRATA, a "$19 million, 3-year project" — reported 25 February 2026 — https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/; NVIDIA and AWS — "established partnerships" — 25 February 2026 — same URL
- Compute
- claims results "up to 1000x faster than traditional supercomputing methods" — February 2026
- Funding total as published
- 18,500,000 USD (seed round total; £13.8m) — as of 25 February 2026 — https://www.cic.vc/beyondmath-completes-18-5-million-seed-round-to-scale-worlds-largest-foundational-physics-ai-model/
- Rounds found
- 2024-08-20 — seed — 8,500,000 USD — UP.Partners (already DEAL-LB-132); 2026-02-25 — seed extension — 10,000,000 USD (£7.4m) — Cambridge Innovation Capital — UP.Partners, Insight Partners, InMotion Ventures (already DEAL-LAB-034)
- Status now
- Active London company; closed its seed round at $18.5m in February 2026.
Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: verified. Sources - cic.vc/beyondmath-completes-18-5-million-seed-ro
- cic.vc/beyondmath-completes-18-5-million-seed-ro
- uktech.news/ai/beyondmath-raises-seed-extension-
Key facts and news (5)- Founders
- Alan Patterson — CEO and co-founder; Darren Garvey — co-founder; both previously at Google and eBay one source uktech.news/ai/beyondmath-funding-20240820
- Compute
- Uses NVIDIA DGX H200 systems to train its physics solver (2024-08-20) one source uktech.news/ai/beyondmath-funding-20240820
- Funding as published (reported)
- Completed seed round £13.8m after a $10m (£7.4m) extension (2026-02-25) one source uktech.news/ai/beyondmath-raises-seed-extension-
- Offices
- Cambridge, UK (UKTN, 2024-08-20); London-based (UKTN, 2026-02-25) one source uktech.news/ai/beyondmath-funding-20240820
- Where it is based
- Cambridge per UKTN (August 2024); London per UKTN (February 2026). one source
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London | Companies House · uktech.news/ai/beyondmath-raises-seed-extension- · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. | verified |
| LGM-Aero (Large Geometry Model for aerospace)Chips, models and products | A PhysicsX model that quickly generates aircraft shapes and predicts how they will perform aerodynamically and structurally. released (on PhysicsX platform)Key facts Announced 4 Dec 2024. Figures (4 Dec 2024): trained on more than 25 million meshes (more than 10 billion vertices) and tens of thousands of CFD and FEA simulations; predictions in under a second versus several hours. Training data generated with Siemens Simcenter STAR-CCM+ and Nastran (see DEAL-LAB-7004).Made by PhysicsX · 2024-12-04 | Leonard Circus, London (EC2A 4DQ) (via PhysicsX) | physicsx.ai/newsroom/introducing-lgm-aero-genai- · physicsx.ai/newsroom/siemens-physicsx-collaborat | lab's own pages |
| Mach42 (formerly Machine Discovery)Companies · also on Software and tools | Oxford University spin-out whose machine-learning software predicts how designs, starting with analogue chips, will behave. renamedModels and products (1)- Mach42 Discovery Platform (Mach42) 2026-07-21 liveMach42's AI platform that builds fast stand-in models of slow simulations, first for analogue chip design.
Why it is here: Oxford physics spin-out whose neural networks emulate slow simulations, first in chip designKey facts and news (1)News Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | Oxford (OX4 4GP) | Companies House · uktech.news/ai/machine-discovery-simulations-fun · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · mach42.ai/resource-IntroducingMach42.html | verified |
| Mach42 Discovery Platform (Mach42)Chips, models and products | Mach42's AI platform that builds fast stand-in models of slow simulations, first for analogue chip design. liveKey facts Offerings: silicon verification, circuit model creation (SPICE-compatible surrogate models), multi-physics simulationMade by Mach42 (formerly Machine Discovery) · 2026-07-21 | Oxford (OX4 4GP) (via Mach42 (formerly Machine Discovery)) | mach42.ai/ · uktech.news/ai/machine-discovery-simulations-fun | lab's own pages |
| Monolith AICompanies · also on Software and tools, Start-ups | Makes machine-learning software that engineers use to learn from physical test data so they can run fewer tests on products such as cars and batteries. acquiredWhy it is here: London AI engineering software that applies machine learning to product test data (acquired 2025-10-06; deal already on site)Key facts and news (1)- Customers and partners
- BMW, Honda, BAE Systems, Siemens (as of 2021-08-23); founded 2016 by Richard Ahlfeld one source uktech.news/news/london-ai-startup-monolith-ai-f
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London (SE1 9EA) | Companies House · coreweave.com/news/coreweave-to-acquire-monolith · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. · uktech.news/news/london-ai-startup-monolith-ai-f | verified |
| MonumoCompanies · also on Start-ups | Uses AI-driven simulation to design electric motors for vehicle makers (description from Package 1, not re-opened).Profile- Founded
- 2021
- Founders
- Dominic Vergine — founder (CEO in 2024 sources; former VP of Sustainability at Arm)
- Chief executive
- Jarek (Jaroslaw) Rzepecki — "recently appointed" as of 7 Apr 2026 (CTO in Feb 2024)
- Chief scientist or research lead
- Not stated (Rzepecki was CTO; current CTO not named)
- Hq
- Cambridge (England: East of England) and Coventry (England: West Midlands); other_offices: not stated
- Headcount
- 28 — 7 Aug 2024 — https://tech.eu/2024/08/07/monumos-innovations-in-electric-drive-design-a-ps750000-boost-from-innovate-uk/ (single_source)
- What it does
- Monumo gives engineers AI software that designs mechanical parts, mainly electric motors for cars, home appliances, industrial machines and robots. Its engine runs millions of simulations a day to explore motor designs.
- Research focus
- AI and machine learning for electric-motor simulation and optimisation; 3D generative design.
- Models and products
- Anser — proprietary AI design engine — named Apr 2026; 3D-GAIT (3D Generative-AI Technology) — automated design generation, simulation and evaluation, Innovate UK-funded — Aug 2024; switched reluctance motor prototype — licensing expected from 2025 — Feb 2024
- Customers or partners named
- University of Nottingham PEMC group and hofer powertrain UK — Innovate UK project partners — 7 Aug 2024 — https://tech.eu/2024/08/07/monumos-innovations-in-electric-drive-design-a-ps750000-boost-from-innovate-uk/
- Funding total as published
- "more than £10m" — as of 7 Apr 2026 — https://www.uktech.news/the-circuit/in-conversation-with-monumos-jarek-rzepecki-20260407
- Rounds found
- Feb 2024 — seed — £10.5m — angel investors, none named (already DEAL-LAB-4021); 7 Aug 2024 — Innovate UK grant — £750,000 — Innovate UK (new DEAL-LAB-16003)
- Awards and programmes
- Innovate UK grant £750,000 for 3D-GAIT — Aug 2024
- Status now
- Trading under a new CEO, Jarek Rzepecki, who aims to make it the default design platform for electric motors.
Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: one source (trade only; CEO change needs a primary source). Sources - uktech.news/the-circuit/in-conversation-with-mon
- tech.eu/2024/02/22/how-monumos-proprietary-tech-
- tech.eu/2024/08/07/monumos-innovations-in-electr
- uktech.news/news/founder-interviews/monumo-found
Models and products (1)- Anser (Monumo) 2026-04-07 liveMonumo's own AI engine that tries out electric-motor design changes across millions of simulations a day.
Key facts and news (5)- Founded
- 2021; Cambridge and Coventry one source uktech.news/news/founder-interviews/monumo-found
- Founders
- Dominic Vergine — founder (CEO as of 2024-02-23; formerly VP sustainability at Arm) one source uktech.news/news/founder-interviews/monumo-found
- Chief executive
- Jarek Rzepecki — "recently appointed" CEO (as of 2026-04-07) one source uktech.news/the-circuit/in-conversation-with-mon
- Models released
- Anser — proprietary AI engine (new record BIZ-LAB-12022) one source uktech.news/the-circuit/in-conversation-with-mon
- Chief executive (reported)
- Jarek Rzepecki, earlier its CTO (UKTN, 7 April 2026; trade, one source). one source
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | University of Warwick Science Park, Coventry (CV4 7EZ) | Companies House · find-and-update.company-information.service.gov. · uktech.news/news/founder-interviews/monumo-found · uktech.news/the-circuit/in-conversation-with-mon · tech.eu/2024/02/22/how-monumos-proprietary-tech- | one source |
| PhysicsXCompanies | Builds AI models that predict how physical products such as aircraft parts, cars and yachts will behave, so engineers can design and test them faster.Profile- Founders
- Jacomo Corbo — Co-Founder & CEO; Robin Tuluie — Founder and Chairman
- Chief executive
- Jacomo Corbo — from null
- Chief scientist or research lead
- Dael Williamson — Chief Technology and Platform Officer (from 1 Oct 2026)
- Other leaders
- Chris Wigley — COO (appointed 12 Nov 2025)
- Hq
- London (England: London) — Victoria House, 1 Leonard Circus, EC2A 4DQ; other_offices: New York; Singapore (Asia-Pacific hub, Oct 2026); growing presence in San Francisco Bay Area
- Headcount
- more than 300 — 8 Jun 2026 — https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering; 20 in Singapore, target over 100 within three years — 8 Oct 2026 (UK headcount not published)
- What it does
- Builds AI models that predict physical behaviour — airflow, heat, stress — so engineers can test and optimise designs far faster than with conventional simulation. Sold as an AI-native engineering platform to aerospace and defence, automotive, semiconductor, energy and materials companies.
- Research focus
- "Large Physics Models" (larger pre-trained physics AI models, in development); generative optimisation; neural operators; agentic engineering
- Models and products
- PX-Car-Aero-v1 — automotive aerodynamics model — 7 Aug 2026; Large Physics Models — in development — 8 Jun 2026; AI-native engineering platform — ongoing
- Customers or partners named
- Fortescue — expanded partnership — 27 Oct 2026 — https://www.physicsx.ai/newsroom; GB1 (Britain's America's Cup challenge) — yacht design — 13 Mar 2026 and 21 Oct 2026 — same url; Seatrium — physics AI for offshore and marine design — 8 Oct 2026 — https://www.physicsx.ai/newsroom/physicsx-launches-asia-pacific-hub-in-singapore-to-scale-ai-powered-industrial-engineering-across-the-region; A*STAR — five-year partnership, joint S$40m commitment — 8 Oct 2026 — same url; Siemens — data centre power infrastructure (with NVIDIA) — 17 Mar 2026 — https://www.physicsx.ai/newsroom; CoreWeave — compute partnership — 11 Mar 2026 — same url; Deutsche Telekom — multi-year partnership — 18 Nov 2025 — same url; Microsoft — selected for Agentic Launchpad — 18 Dec 2025 — same url; Siemens — deep physics simulation — 4 Dec 2024 — https://www.physicsx.ai/newsroom/siemens-physicsx-collaborate-to-build-ai-based-deep-physics-simulation
- Compute
- CoreWeave partnership for high-performance physics AI — 11 Mar 2026; live on the European Industrial AI Cloud — 4 Feb 2026 (newsroom titles)
- Valuation reported
- about 2,400,000,000 USD — 8 Jun 2026 — company only
- Rounds found
- 2026-06-08 — Series C — 300,000,000 USD — Temasek — M&G Investments, Intrepid Growth Partners (new); Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, Siemens (existing); 2025-11-19 — Series B extension (amount not opened)
- Uk government links
- British Business Bank in the Series C (held as DEAL-INV-004); no government contract found
- Status now
- Raised a $300m Series C at about $2.4bn in June 2026 and opened a Singapore hub in October 2026.
Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: single_source. Sources - physicsx.ai/newsroom/physicsx-announces-300m-ser
- physicsx.ai/newsroom/physicsx-announces-300m-ser
- physicsx.ai/newsroom/physicsx-announces-300m-ser
- physicsx.ai/newsroom
- physicsx.ai/newsroom/physicsx-launches-asia-paci
- physicsx.ai/newsroom/siemens-physicsx-collaborat
Models and products (4)- PX-Car-Aero-v1 2026-08-07 announced (article)A PhysicsX physics-AI model for car aerodynamics.
- PhysicsX Large Physics Models on CoreWeave (private, domain-specific models) 2026-03-11 released (enterprise)A PhysicsX service that lets industrial customers train private physics AI models on their own data on CoreWeave's cloud.
- LGM-Aero (Large Geometry Model for aerospace) 2024-12-04 released (on PhysicsX platform)A PhysicsX model that quickly generates aircraft shapes and predicts how they will perform aerodynamically and structurally.
- Ai.rplane 2024-12-04 released (free public app)A free public web app, built on LGM-Aero, that creates new aircraft designs and estimates their performance.
Key facts and news (8)- Models released
- PXTransolver (~28M parameters, Transolver-based) trained on PXNetCar (20,486 geometries with RANS simulations) plus public datasets (25,761 total) (2026-03-03) one source physicsx.ai/newsroom/scaling-physics-ai-for-auto
- Research leads
- Dael Williamson — Chief Technology and Platform Officer (2026-10-01) one source physicsx.ai/newsroom
- Research leads
- Chris Wigley — COO (2025-11-12) one source physicsx.ai/newsroom
- Offices
- London, New York, Singapore (Asia-Pacific hub 2026-10-08) one source physicsx.ai/newsroom/physicsx-launches-asia-paci
- Awards
- 2025 Deloitte Technology Fast 50 (2025-11-07) one source physicsx.ai/newsroom
News Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | Leonard Circus, London (EC2A 4DQ) | Companies House · physicsx.ai/newsroom/physicsx-announces-300m-ser · tech.eu/2026/06/08/physicsx-raises-300m-at-24bn- · uktech.news/funding/uk-tech-funding-roundup-this · physicsx.ai/newsroom/physicsx-raises-135m-series | verified |
| PhysicsX Large Physics Models on CoreWeave (private, domain-specific models)Chips, models and products | A PhysicsX service that lets industrial customers train private physics AI models on their own data on CoreWeave's cloud. released (enterprise)Key facts Announced 11 Mar 2026 in London: PhysicsX platform runs on CoreWeave; enterprise customers train private domain-specific Large Physics Models; PhysicsX also trains its pre-trained models there. No financial terms. See DEAL-LAB-7006.Made by PhysicsX · 2026-03-11 | Leonard Circus, London (EC2A 4DQ) (via PhysicsX) | physicsx.ai/newsroom | one source |
| PX-Car-Aero-v1Chips, models and products | A PhysicsX physics-AI model for car aerodynamics. announced (article)Key facts Article dated 7 Aug 2026 ("Part II"); Part I "Scaling Physics AI for Automotive Aerodynamics" dated 3 Mar 2026. Article page could not be opened, so figures are not recorded.Made by PhysicsX · 2026-08-07 | Leonard Circus, London (EC2A 4DQ) (via PhysicsX) | physicsx.ai/newsroom | one source |
| SecondmindCompanies · also on Software and tools | Cambridge-founded AI company; the lead says it sells machine-learning software that helps car makers design and calibrate engines and vehicles (not verified here).Models and products (1)- GPflow, GPflux and Trieste (Secondmind Labs open-source libraries) 2026-10-31 (as read) released (open source)Secondmind Labs' open-source software for building Gaussian-process models, deep Gaussian processes and active-learning Bayesian optimisation.
Why it is here: Cambridge machine-learning lab (Secondmind Labs) behind GPflow and Trieste, selling active-learning software for vehicle design and calibrationSelected papers (4)- Density ratio-free doubly robust proxy causal learning (Bozkurt, Zenati, Meunier, Xu, Gretton) one source
- Omnipresent yet overlooked: Heat kernels in combinatorial Bayesian optimization (Doumont, Picheny, Borovitskiy, Moss) one source
- Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimization (Moss, Ober, Picheny) one source
- Neural Diffusion Processes one source
Key facts and news (4)- Chief scientist
- Carl Edward Rasmussen, Chief Science Officer; Professor of Machine Learning, University of Cambridge one source secondmind.ai/secondmind-labs
- Awards
- Three best paper awards: ICML 2019; AISTATS 2020 and 2021; seven patents one source secondmind.ai/secondmind-labs
- Customers and partners
- Mazda (59.7% fewer engineering hours for calibration maps); SCAE partnership for Japanese OEMs (undated) one source secondmind.ai/
- Chief scientist
- Carl Edward Rasmussen — Chief Science Officer; Professor of Machine Learning, University of Cambridge one source secondmind.ai/research/labs
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London (registered office EC2V 6DN) | Companies House · find-and-update.company-information.service.gov. · uktech.news/news/cambridge-ai-startup-prowler-io · secondmind.ai/secondmind-labs · secondmind.ai/ | verified |