The PhysicsX platform amplifies engineering knowledge and intuition, enabling you to explore vastly more of the solution space, understand complex physical systems in entirely new ways, and make better decisions across the engineering lifecycle.
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Run multi-physics predictions through AI inference at a fraction of traditional simulation time.
Build, fine-tune, validate, deploy, and operationalize physics AI in one integrated environment.
Embed intelligence across product development, manufacturing, and asset performance.
Go beyond CAE accuracy by incorporating measured data that adds to your asset, improving its performance over time.
Bring better products to market, faster.
As physical systems become more complex, traditional computational approaches increasingly constrain how quickly teams can explore, optimize, and act.
We change that equation.
The PhysicsX platform enables you to accelerate computationally intensive workflows through AI inference, optimize across complex multi-physics systems, improve manufacturing processes, and understand the behavior of physical assets in real time.
Expand what’s possible — across everything you design, build, and operate.
Build, deploy, and scale.
Integrate your tooling and ingest your existing data to form a foundation for model training. Orchestrate CAE across cloud and HPC, bringing simulation, experimental, and operational data into a unified foundation for AI.
Capabilities: simulation orchestration / data transformation / lineage / labeling / geometry and field data / integrations
Use the tools to train, fine-tune, validate, and deploy physics AI models.
With 12+ architectures, third-party libraries, active learning, uncertainty quantification, and model evaluation built in, you can develop Large Physics Models that solve complex, real-world engineering problems.
Embed physics AI directly into engineering workflows across design exploration, optimization, manufacturing, process control, virtual sensing, and the broader product lifecycle.
Integrate intelligence into the tools and systems you already use through APIs, interfaces, and MCP.
Leverage engineering agents that set up experiments, run models, investigate failures, interpret results, and determine what to do next — working across your data, models, tools, and the history of what’s already been tried.
Capabilities: engineering agents / evaluation gates and human review / MCP
Deploy frontier intelligence on your terms. The PhysicsX platform is portable, composable, and built for enterprise control, running in PhysicsX-hosted environments, your own cloud or VPC, on-premises, or fully air-gapped.
PhysicsX's Large Physics Models understand the behavior of complex physical systems from simulation, experimental, and operational data.
These pre-trained models learn and generalize across broad engineering domains, requiring up to 80% less task-specific training data to achieve comparable performance. This dramatically reduces the cost and time needed to adapt physics AI to new engineering problems.
Meet PX-Car-Aero-v1Infer complex physical behavior in seconds across geometries, operating conditions, and multiple physics.
Evaluate thousands or millions of possibilities rather than a handful of candidate designs.
Search across competing objectives and constraints to discover solutions beyond conventional engineering intuition.
Driving value across the full engineering lifecycle.
Explore larger design spaces and optimize complex systems across multiple physics and objectives.
Outcomes:
aerodynamic performance | thermal management | structural optimization | system-level design | inverse design
Bring physics AI into production to improve yield, throughput, quality, and process control.
Outcomes:
process optimization | right-first-time manufacturing | defect reduction | real-time control
Understand the physical state of assets without instrumenting every quantity directly.
Outcomes:
virtual sensing | performance optimization | predictive insight | fleet-level intelligence
We combine deep engineering expertise with the PhysicsX platform to get frontier AI working in real industrial environments.
PhysicsX Forward Deployed Engineering team works alongside customers to help them compress time to value and solve their hardest engineering problems at scale.
Each deployment leaves behind more than an answer to one problem: reusable models, data, infrastructure, and engineering intelligence that compound over time.
The PhysicsX platform is designed for organizations where engineering data, IP, security, and reliability are non-negotiable.
Deploy in the environment your engineering and security requirements demand.
Connect existing CAD, CAE, simulation, data, and HPC infrastructure rather than replacing it.
SOC 2 Type I & II, ISO/IEC 27001:2022, GDPR, plus controls designed for sensitive engineering environments.
Engineering at
the limit.
We’re partnering with GB1, Britain’s America’s Cup Challenger, to transform how the team uses simulation — deploying the PhysicsX platform to shift computationally intensive workflows to AI inference, evaluate thousands of design possibilities, iterate faster, and optimize aerodynamic performance.
This isn’t simply faster simulation. It’s a fundamentally new way to design, build, and operate advanced hardware.
Tell us what you're trying to solve. We'll show you how PhysicsX can help you move faster and build better.
Reach outDo the most consequential work of your career. Join the people pushing the boundaries of AI and engineering, and turn ideas once considered impossible into real-world impact.
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