Simulation Intelligence Platform

Don’t simplify solutions to scale. Automate complexity to accelerate.

Simulation isolates physics, teams, and systems.
Simulation Intelligence is where they converge.
SI Platform is the real AI advantage.

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SI Platform elevates engineering to the pareto-frontier of three dimensions: maximizing human-machine teams, minimizing simulation-reality deltas, and automating system-of-systems complexities. (Above) Digital-Physical Thread isn't a slogan, it's a runtime.

PHYSICS YOU TRUST. INSIGHTS YOU'VE NEVER HAD

Turn simulation into an advantage not a constraint: Explore broad solution surfaces, covering the full design space the physics permits and the expanse of operational scenarios, revealing how performance evolves across the entire range of parameters, and how those shift for non-nominal scenarios without rerunning expensive simulation nor retraining AI models.

Faster iteration, less compute: Gain clear visibility into trade-offs, sensitivities, and performance boundaries, for components and for the systems they integrate into, with industry-leading lightweight AI/ML models that train locally and update continuously.

COHESIVE ENGINEERING TEAMS, IN REAL-TIME

Accelerate engineering by enabling teams to coordinate designs, scenarios, and constraints in near-real time and continuously during the process: from components through systems, teams on our cohesive fabric can reassess and refine designs without restarting, especially when requirements shift.

SI Platform is end-to-end autodiff-native and git-native, establishing single-source-of-truth artifacts and a common reference for system integration that accelerates communication and collaboration across the organization. So in addition to solvers becoming "ML-able" and multiphysics simulators running in seconds not weeks, your engineering teams can ship faster and with more confidence; teams share immediate feedback across roles and align sooner, yielding superior design variations, verified on magnitudes more scenarios.

"Never would I have imagined my ‘engineering intuition’ could be programmatic, and all the value we can now accumulate over projects and across teams. We came for the AI-physics accelerations, and we're gaining so much more with the intentional, reliable human-machine teaming that Pasteur Labs builds into its products."

KAYLA YAMADA, ENGINEERING TEAM LEAD, HONEYWELL AEROSPACE

COMPOUNDING VALUE BUILT-IN, NOT LOCKED-IN

Every workflow you plug-in and customize, each experiment designed and V&V run, datasets generated and empirical measures injected, solutions deployed and system-of-systems integrated... everything is a building block of your growing institutional knowledge base, leveraging your existing IP and generating more. Beyond AI, your organization gets smarter over time, increasing speed and reducing effort on every project.

Teams build and share "Multiphysics Modules" of lightweight ML surrogate models (not overbearing Foundation Models), all seamlessly encapsulated in differentiable containers that continuously integrate, test, and deploy. Plus batteries-included: automatically provide results as executable simulators not raw CSV and static PPT, easily share experiments as interactive webapps not hacky notebooks, and more.

Everything is version controlled and seamlessly coordinated on your “digital-physical thread”, managing the full lifecycle of simulation intelligence activities across teams, org-wide; systems engineering that is built-in and future-proofs your adoption of AI-physics.

System-of-Systems simulation intelligence: Models and full simulators are seamlessly orchestrated in "Tesseracts" that run anywhere and fast, enabling cross-functional collaboration and V&V at scale, all easily inspectable & traceable for testing & compliance.

Impact

Value where it matters: up-and-down engineering pipelines and systems lifecycles.

Need

Before

Now

Design-Analysis-Report cycles

8 weeks

3 days

Performance Maps

6 simulations

5 designs x 15 scenarios

Feedback

Post-hoc, at x-Design Review

Continuous, version-controlled

AI onboarding efficiency

20-60 hours, plus HPC

10-30 minutes, local machine

MBSE, SPDM

Misc tools and consultants

MBCM Stage 3; real-time V-model coordination

Results are averaged over several sets of non-trivial use-cases in aeronautics, automotive safety, space systems, and nuclear energy environments.

"The hardware and systems engineering mindset has been 'simulate what you can, test the rest.' Pasteur Labs is inverting that balance, and that changes how we plan programs entirely. The SI Platform is a competitive differentiator—we're moving faster and testing smarter."

RAMON BLANCO, US HEAD OF SPACE, AVS

Promise

Your data, your IP, your Simulation Intelligence.

Instant insights for faster engineering decisions

Whether you need to quickly map how parameter changes affect key performance metrics or understand and visualize full-field behaviour across new design configurations, our physics-informed ML models map the entire design space the physics allow and deliver near-instant predictions, reserving expensive HPC runs for final validation only.

From solver outputs to ML-ready data, automatically

Generate ML-ready datasets from past simulation outputs automatically, at scale. Upload results from your physics solver of choice along with a simple metadata file, and Testbeds automatically handles data extraction, formatting, and structuring, delivering consistent datasets ready for surrogate model training.

Physics-AI, ready to use

The AutoPhysics catalogue delivers advanced scientific machine learning models engineered for CAE, together with pretrained templates and physics-informed ML architectures, so engineers can integrate Physics-AI into their workflows immediately without building or maintaining ML infrastructure.

Your data, your models, your workflow, no lock-in

Once trained, you maintain full ownership and control over how and where your surrogate models are used. Export them to internal tools, share across teams, integrate into custom pipelines, or run them in production without vendor lock-in.

End-to-end differentiable, modular workflows

Simulation Intelligence Platform is built on a modular, end-to-end differentiable workflow architecture. Powered by Tesseracts, each building block can be developed and tested independently, then composed into workflows with standardized interfaces.

Plug-n-play your heterogeneous CAE and MBSE toolchains—from bespoke solvers in fortran to commercial products with incoherent interfaces—for the SI Platform to automatically coordinate into headless pipelines that generate AI/ML-ready datasets from multi-physics workflows — automated, verified, at scale.

Ready for Simulation Intelligence?

Your next steps are to inquire below, sharing some info on your use-cases, bottlenecks, and desired wins.