This article covers PhysicsX, a UK-headquartered AI startup, which has added a £15m extension to its Series B from NVentures, bringing the round to more than £117.9m and valuing the company at roughly £760.6m. The development supports engineering and manufacturing firms adopting AI-led simulation workflows and connects PhysicsX with major chip and cloud partners.
PhysicsX, an AI startup headquartered in the UK, has added a £15m ($20m) extension to its Series B from NVentures, NVIDIA’s venture arm, bringing the round to more than £117.9m (about $155m) and valuing the company at roughly £760.6m (around $1bn). The move tightens ties between an industrial AI software vendor and one of the world’s largest chip and AI platform companies, with implications for how engineering and manufacturing firms adopt AI-led simulation workflows.
Engineering and manufacturing are increasingly driven by software and data. PhysicsX’s funding update matters because it signals growing investor appetite for companies that promise to shift heavy numerical simulation work into AI-driven inference, which could shorten design cycles, cut waste and improve manufacturability across industries from automotive to semiconductors.
The NVentures investment also reinforces a broader push to bring industrial AI services onto cloud and infrastructure platforms that meet regional sovereignty and performance needs, an important factor for European manufacturers and defence contractors.
PhysicsX builds a software stack that moves large-scale numerical physics simulation toward AI inference. In practical terms, the platform aims to address three recurring limitations of traditional simulation: speed, scalability and, where applicable, accuracy at production scale.
Customers in aerospace and security, automotive, semiconductors, materials and mining, and energy use the platform to test designs, predict performance and smooth transitions from prototype to manufacture. PhysicsX has said its software will be available on the NVIDIA-powered Industrial AI Cloud for Europe in collaboration with Deutsche Telekom, a deployment intended to combine Nvidia compute and software with a European cloud operator’s infrastructure and data controls.
The Series B was led by Atomico when it originally closed, with an initial tranche that raised roughly £102.7m (about $135m). New participation in this extension comes from NVentures, NVIDIA’s venture capital arm. Other named participants in the Series B include Temasek, Siemens, Applied Materials and July Fund, with continuing support from General Catalyst, NGP, Radius Capital, Standard Investments and Allen & Co.
The extension brings the total Series B to over £117.9m (about $155m) and values the business at nearly £760.6m (roughly $1bn). The deal reflects growing interest from AI investors in startups that target industrial and manufacturing workflows, and it further connects PhysicsX to major hardware and industrial partners.
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The announcement, Jacomo Corbo, CEO & Co-Founder of PhysicsX, said:
The next industrial revolution will be AI-native — and the next generation of hardware will be imagined, designed, and proven in software. This investment reflects our investors’ shared conviction of that future.
Together, we’re reimagining engineering and manufacturing and building the AI infrastructure to solve the most important industrial challenges of our time. The present can’t wait for tomorrow’s technologies and we’re working hard — with our customers, partners, and investors — to build the software that bridges that gap.
Corbo’s comments frame the company’s work as infrastructure-level: a software layer intended to replace or augment parts of conventional simulation and verification toolchains.
PhysicsX’s funding and its partnership with NVIDIA and Deutsche Telekom sit at the intersection of several trends: the industrialisation of generative and predictive AI, cloud providers offering industry-specific platforms, and Europe’s focus on maintaining sovereignty over critical industrial datasets and compute. For manufacturers, the promise of faster iteration cycles and reduced physical testing is attractive; for investors, the addressable market spans multiple capital-intensive industries.
The deal also highlights how strategic corporate investors such as Siemens and Applied Materials are doubling down on software and AI capabilities as part of broader digital transformation programmes.
This development is another datapoint for the UK and European startup ecosystem: deep-tech companies that combine domain expertise with AI are attracting large rounds and strategic partnerships as they look to industrialise AI across manufacturing and engineering.
| Investor | Sector | Stage | Activity | Team | Connect |
|---|---|---|---|---|---|
![]() Atomico | 15 investments investments | 23 contacts contacts | |||
![]() NVentures | 6 investments investments | more info | |||
![]() Temasek | 6 investments investments | more info | |||
![]() Siemens | 6 investments investments | more info | |||
![]() Applied Materials | 2 investments investments | more info | |||
![]() July Fund | 2 investments investments | more info | |||
![]() General Catalyst | 21 investments investments | 9 contacts contacts | |||
![]() Radius Capital | 3 investments investments | more info |
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