PhysicsX

This week, Nico Haag, Co-Founder & Director of Simulation Engineering at PhysicsX, joined industry leaders at the Automotive Suppliers’ and Manufacturers’ Day at the Mercedes-Benz AG Museum in Stuttgart. One theme cut through the day: industrial AI is rapidly moving from discussion to deployment, redefining speed, performance, and competitiveness. On the Industrial AI Cloud panel, Nico shared insights on what it actually takes to make that shift real: ∙ Smart data — structured, physics-informed datasets that Large Physics Models can learn from ∙ Scalable compute infrastructure capable of training and deploying these models at industrial scale ∙ Unified architectures that integrate simulation, real-world data, and AI inference into a single system ∙ Data safety — foundational, and non-negotiable Thank you to the T-Systems International team for having us! #PhysicsAI #Engineering #DeepTech #IndustrialAI #Innovation

We're excited to share that PhysicsX has partnered with nTop for the upcoming nTop Summit 2026 on April 21 in El Segundo, CA. For aerospace & defense engineering teams serious about what's next: this is the room to be in. We'll discuss the latest developments in AI-driven engineering, design exploration, and MDAO — and hear from teams pushing the boundaries of what's possible. We'll be on hand to share how PhysicsX is accelerating industrial innovation by embedding frontier physics AI directly into real-world engineering and manufacturing workflows, at scale. 🔗 Sign up and register your team today: https://lnkd.in/eXDBxRDM #PhysicsAI #Engineering #DeepTech #IndustrialAI #Innovation

As physical systems become ever more sophisticated, the limitations of traditional toolchains become increasingly acute. The result is predictable: optimization happens locally, innovation is cautious, and learning is slow. We're doing something different. The PhysicsX platform embeds AI directly into existing workflows across every stage of the engineering lifecycle. Simulations that took days run in seconds. Optimization that happened once per design cycle now happens continuously at a system scale. Our Co-Founder and Director of Simulation Engineering, Nico Haag, sat down with CDFAM - Computational Design Symposium to explain what it actually takes to operationalize physics AI in production — and what it means for engineers on the front line. 🔗 Read the full interview: https://lnkd.in/gjE8ZKMN 🇪🇦 Register for CDFAM Barcelona, where Nico will take the stage to share more insights: https://lnkd.in/eVxSXxDu #PhysicsAI #Engineering #DeepTech #IndustrialAI

This Wednesday, James Mulligan, our Head of Strategy & Programs, will join Notion’s Architects of Change series to share insights on how modern organizations can scale with greater clarity, alignment, and decision velocity. James will be in conversation with Notion's Laura Gregg on what it takes to build the infrastructure behind growth — from organizational telemetry and knowledge management, to the habits that keep leadership aligned as a company scales. A candid conversation about the systems behind scaling, not just the strategy. 🔗 Register here: https://lnkd.in/eyWCY_ij For a deeper look at how we think about this at PhysicsX, read the latest blog from our Strategy & Programs team: https://lnkd.in/eQjRhKZW #AI #ScaleUps #DeepTech #Leadership #Innovation

Next Thursday at CERAWeek 2026, our VP of Commercial & Strategic Partnerships, Shyam Kumar, will take the stage to break down how AI-native engineering is rewriting the rules for energy systems — from first principles design to live operational environments. The PhysicsX platform is at the core: enabling shorter development cycles, real-time performance optimization, and infrastructure that gets smarter as it runs. 🔗 If you're in Houston for CERAWeek, this is one not to miss: https://lnkd.in/e33gDR2A #CERAWeek #PhysicsAI #Energy #Innovation #Engineering

Scaling AI isn’t just a technology challenge. It’s an operational one. As organizations move beyond experimentation, the real work lies in building the systems, feedback loops, and decision structures that allow teams to move faster as complexity increases. Next week, James Mulligan, Head of Strategy & Programs at PhysicsX, will join Sifted Talks to discuss what it really takes to scale AI inside a rapidly scaling company — without losing the clarity, velocity, and focus that made it successful in the first place. The session will explore how companies can move from AI pilots to AI-enabled operating models, embedding intelligence directly into workflows so ideas turn into outcomes faster. 🔗 Register here: https://lnkd.in/dUye3J55 Curious how we think about scaling internally? Read the latest blog from our Strategy & Programs team: https://lnkd.in/eQjRhKZW #AI #ScaleUps #DeepTech #Leadership #Innovation

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. 🔗 More in the official press release: https://lnkd.in/eXAQ7Qwb #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. 🔗 More in the official press release: https://lnkd.in/ejpASVKE #PhysicsAI #Engineering #IndustrialAI #NVIDIAGTC2026

PhysicsX × GB1 is live. We're proud to unveil our partnership with Athena Racing — the British America’s Cup challenger — as the Official AI Engineering Platform Partner for the 38th America’s Cup. The America’s Cup is one of the most technically demanding competitions in global sport. Races are often decided by seconds, and design advantages can shape an entire campaign. The ability to model, test, and optimize the full-system behavior of the boat is critical. Using the PhysicsX AI-native engineering platform, the team will accelerate engineering insight and support system-level optimization, enabling faster learning cycles, broader design exploration, and higher-confidence decisions under the constraints of the America’s Cup Protocol. This partnership reflects the frontier engineering DNA behind PhysicsX. With deep roots in Formula 1 and other high-performance industries, we know that elite competition is decided in the margins — where the final 1% determines the podium. By strengthening the loop between modeling, data, and real-world validation, PhysicsX will empower Athena Racing to iterate faster, test more aggressively, and compound marginal gains at scale. The journey to Naples 2027 begins. #PhysicsAI #AmericasCup #DeepTech #Engineering

PhysicsX is one of Europe’s Top 100 Rising Startups 2026, unveiled today by VivaTech! Thank you to Accel, Eurazeo, HV Capital, Northzone, and Partech for recognizing our mission and impact in the deep tech space. Onwards! 🚀 🔗 Discover the full list here: https://lnkd.in/egA8cjRh #Top100RisingEuropeanStartups #VivaTech