PhysicsX

Last week, we welcomed Dorothy Chou, Director of the Public Engagement Lab at Google DeepMind, to the PhysicsX London office for a fireside chat with Shamal Thakar on navigating public trust in technology innovation. A few threads that stayed with us: • Trust needs to be earned, not assumed. It’s built through consistent behavior over time, especially when consistency is inconvenient. When gaps open up between what organizations claim and what they actually demonstrate, trust degrades quietly and quickly. • Good governance isn’t primarily about constraints. It’s about defining the outcome the technology is trying to achieve, and structuring the right incentives to get there. That means looking beyond penalties to tools like procurement requirements and advance market commitments, which are often more durable than reactive regulation, and still significantly underused. • The organizations most likely to hold trust over time aren’t the ones with the sharpest messaging. They’re the ones willing to say: here are our assumptions, here’s who we consulted, here’s what we still don’t understand, and here’s the recourse we’re prepared to commit to. Real trust is visible when it’s costly — when it means moving more slowly, opening up to scrutiny, or walking away from profitable but corrosive use cases. • Leadership sets the tone. The best leaders bring people with them, including the public, and particularly skeptics. Organizations that do this well don’t just earn trust. They build the kind of legitimacy that holds up under pressure. Thank you, Dorothy — an honest, wide-ranging conversation that left the room with plenty to think about. More of this!

This Thursday at HANNOVER MESSE, our Field CTO Sam Hiscox takes the Center Stage alongside Markus W. Hacker (NVIDIA), Christian Piechnick (Wandelbots), and Maja Himmer (T-Systems International) to discuss what it actually takes to move industrial AI into production — from infrastructure to application layer. Sam will be speaking to how customers leverage the PhysicsX platform to embed physics AI directly into real-world engineering workflows, the operational practices that unlock impact at scale, and why sovereign European infrastructure like the Industrial AI Cloud matters. 📍 Hannover Messe, Hall 25, Center Stage 📅 Thursday, April 23 🕖 10:05-10:35 CEST

The tools that built the last generation of hardware won’t build the next one. That’s not a critique. It’s just where we are. The complexity has outpaced the infrastructure — and the gap is widening faster than any single team, company, or platform can close it alone. Last week, PhysicsX joined Nominal and Flow Engineering at Sequoia Capital for a conversation about what comes next: the software stack advanced industries actually need, built for the physical world, not retrofitted to it. Jacomo Corbo joined the panel alongside operators who are rethinking different layers of the same problem — Pari Singh, Jason Hoch, Sophie Scannell, and Anas Biad. The discussion was direct, and the shared conviction was clear: the next era of hardware development gets built on a constellation of next-generation tools working in concert. Not one platform. Not a patchwork of legacy systems. Something new. We’re building part of that. So are they. The stack is taking shape. Thanks to Sequoia for hosting, and to everyone in the room who came ready to think seriously about what’s next.

AI factories require a new generation of infrastructure. Today, we’re announcing a collaboration with Siemens Smart Infrastructure to apply physics AI to one of the most critical challenges in next-generation data centers: power distribution and thermal management. As GPU clusters scale toward gigawatt-level demand, busway systems must operate reliably under extreme and dynamically changing electrical loads. By combining Siemens’ multi-physics simulation workflows with the PhysicsX AI-native engineering platform, we’re enabling engineers to move from days of simulation to instant engineering insight — unlocking faster design exploration, system optimization, and predictive infrastructure monitoring. The work also contributes to the NVIDIA Omniverse DSX Blueprint for AI factories, advancing a new engineering paradigm for designing and operating large-scale AI infrastructure. Visit physicsx.ai to read the official press release. #PhysicsAI #AIInfrastructure #IndustrialAI #DataCenters #Engineering

The era of Large Physics Models is beginning. We’re building the foundation it needs to scale. At NVIDIA GTC 2026, PhysicsX and NVIDIA announced a collaboration to advance open architectural standards for physics AI — a critical step toward scaling its impact across engineering and manufacturing in the world’s most demanding industries. This is the essential infrastructure layer that Large Physics Models require: common conventions, interoperable tooling, and scalable pipelines that let the entire ecosystem build faster and go further. As part of the collaboration, the PhysicsX and NVIDIA teams will work together to define and validate a common architectural “language” for physics AI — including shared evaluation approaches and benchmarks, enabling models to be expressed and compared more consistently across domains, workflows, and infrastructure. PhysicsX’s modular modeling framework, Opora, will contribute reference patterns and building blocks to this effort — composable, rigorously tested primitives that teams can assemble into bespoke architectures within a unified, reproducible environment. Looking ahead, we’re working to make these standards broadly available through open-source tooling, including within and around NVIDIA PhysicsNeMo and other NVIDIA physics AI libraries and frameworks. Visit physicsx.ai to read the full press release. #PhysicsAI #Engineering #IndustrialAI #NVIDIAGTC2026

GB1 x PhysicsX is live. Pushing the boundaries of performance. GB1 partners with @physicsx.ai , to deploy advanced engineering AI to accelerate design insight and optimisation. #AmericasCup

Physics AI is redefining how the world’s most complex physical systems are designed, built, and operated. But frontier models require frontier infrastructure. Today, we’re excited to announce a strategic partnership between PhysicsX and CoreWeave to deliver high-performance physics AI for advanced industrials. The PhysicsX AI-native engineering platform will run on CoreWeave’s purpose-built GPU cloud, enabling industrial enterprises to train private, domain-specific Large Physics Models (LPMs) on proprietary data and deploy them to secure enterprise environments. PhysicsX will also train its latest and largest pre-trained LPMs on CoreWeave, following scaling laws to build increasingly capable and performant models that generalize across broader engineering domains and applications. Together with CoreWeave, we are providing the backbone required for organizations across aerospace, automotive, semiconductors, materials, and energy to operationalize physics AI and bring disruptive change to how they do engineering and manufacturing. This collaboration further strengthens our expanding ecosystem of infrastructure and platform partners supporting the deployment of physics AI across some of the most demanding and mission-critical programs. More to come. Visit physicsx.ai to read the official press release. #PhysicsAI #IndustrialAI #DeepTech #Engineering #AIInfrastructure

Last week, our COO Chris Wigley joined Jessica Graham on stage at the @goldmansachs Disruptive Technology Symposium in London for a fireside chat on PhysicsX’s journey and the future of industrial innovation. Chris shared our founding thesis: applying physics AI to transform how complex physical systems are designed, built, and operated — helping organizations across critical industries solve some of the most important engineering challenges of our time. He also spoke about PhysicsX’s scaling path, our core differentiators, and what it takes to move from R&D to tangible value in production. Thank you to Jessica for the great discussion and to the Goldman Sachs team for having us! #PhysicsAI #DeepTech #Innovation #Engineering

At this year’s Mobile World Congress in Barcelona, PhysicsX’s David Wheater joined industry leaders from Intel, HARMAN International, and Telenor Connexion AB on stage to discuss how AI is reshaping the future of automotive engineering. The message was clear: AI-native engineering isn’t a marginal gain — it’s a paradigm shift. Physics AI models can deliver the results of complex multi-physics simulations in seconds instead of hours or days, fundamentally changing the vehicle development cycle. From design, where engineers can explore and optimize concepts dramatically faster; to manufacturing, where AI enables real-time optimization of processes like casting; to vehicle operation, where digital twins continuously learn in service and feed insights back into the next generation of designs. The result: faster development cycles, fewer handoffs, and vehicles that improve over time. #PhysicsAI #Automotive #Engineering

At this year’s Microsoft AI Tour in London, our team had the opportunity to take part in the Developer Showcase, spotlighting PhysicsX’s AI-native engineering platform. A particular highlight: engaging directly with Satya Nadella and Darren Hardman on how Large Physics Models are moving from research into real-world industrial deployment and accelerating innovation in production. Proud of the team for representing PhysicsX at the frontier of applied AI. #PhysicsAI #IndustrialAI #Engineering #MicrosoftAITour

PhysicsX has been named in this year’s Capsule’s Scale-Up 50! Being recognized alongside some of the UK’s most ambitious tech companies is a clear marker that physics AI is moving from edge innovation to core infrastructure across advanced industries. Onwards 🚀 Thank you to the Capsule Insurance team for the spotlight. #CapsuleScaleUp50 #DeepTech #PhysicsAI

Snapshot from the launch of Deutsche Telekom’s AI factory in Munich this February. Proud to see PhysicsX alongside T-Systems International, NVIDIA, Siemens, and an incredible group of partners — turning sovereign, scaled compute into real capability for European industry. Onwards 🚀 #Industrials #Innovation #PhysicsAI #Sovereignty #Engineering Manufacturing Europe