Expert simulation, built to scale.
We combine computational mechanics, AI agents, surrogate models and cloud HPC to turn complex engineering problems into reliable, repeatable simulation workflows.
Two layers. One stack for simulation.
Simulation is powerful but hard to scale. Expert time is limited, methods live in people's heads and scattered scripts, and the software and compute are expensive. We address both the expertise and the compute.
Engineers · analysts · researchers · custom apps — via UI or natural language
InnovFlow Virtual Simulation Engineer
Agentic AI for simulation workflows. Prepare models, run simulations, diagnose failures and analyse results using your existing solvers, material libraries and engineering tools.
Explore InnovFlow →InnovGrid cloud & hybrid HPC
HPC deployed into your own AWS account as infrastructure-as-code. Serverless and pay-as-you-go, zero-trust access, and the native AWS console still works for your IT team.
Explore InnovGrid →AWS VPC · on-prem · hybrid — data stays with you, no vendor lock-in
Across the analyst's day
Configured to your solver stack and methods.
- Preprocessing & meshing
- Model setup
- Solve troubleshooting
- Validation
- UMAT / VUMAT
- Material calibration
- Post-processing
- DOE & parameter studies
- Hybrid FEA + surrogate
Surrogate models, trained and deployed.
We build fast AI models of your simulations for any physics, from classical ML to physics-aware deep learning. Our standard workflow performs well on most problems out of the box. When yours needs something different, we build it custom.
You own the trained model and its code. No vendor lock-in.
Rubber mount, end to end
An axisymmetric rubber mount with material and geometric nonlinearity. Our agents ran the whole study: model creation, solve, DOE, choosing and training the network, the report, and loading results back into Abaqus.
Fast when it's sure. Real physics when it isn't.
Custom agents check whether a new design sits inside the validated range before trusting the surrogate. If not, they build and run the FEA model automatically, and the result becomes training data for the next model update.
For the problems that push simulation to its limits.
Coupled physics. Extreme deformation. Materials that resist simple assumptions. Studies that demand more compute than the budget allows. We bring two decades of computational mechanics together with AI and scalable compute, starting with your hardest engineering question.
Complex multiphysics & computational cost
Coupled physics, fine meshes and large parameter spaces can make every run expensive and a full study seem out of reach. We combine appropriate solver strategies, cloud HPC and smarter sampling to make demanding studies tractable within your compute budget.
- Coupled physics & large-scale models
- DOE & parameter studies on cloud HPC
- Commercial, open-source & in-house solvers
Severe deformation and nonlinearity
When geometry changes dramatically, contact evolves and instabilities dominate, routine solver settings can fall short. We work through the formulation, mesh, contact and solution controls to capture the response and assess whether the results are physically credible.
- Large strain, contact & self-contact
- Buckling, post-buckling & instability
- Drop, crush & impact
Complex material models
Real materials depend on strain, loading history, rate and temperature. We select and calibrate constitutive models against your test data, validate them for the intended loading conditions and develop custom routines when built-in models fall short.
- Hyperelasticity, viscoelasticity, plasticity & damage
- Material calibration & custom UMAT / VUMAT
- Rubbers, polymers, foams & metals
AI surrogates for real-time prediction
Turn expensive simulation studies into fast predictions for design exploration, optimization and real-time use. We train surrogates on simulation and test data, establish their accuracy and range of use, and connect them to workflows that return to full physics when needed.
- Response curves, fields & design-space exploration
- Optimization, what-if & in-the-loop prediction
- Validated deployment to APIs, apps & edge devices
Founded by Swapan Sanjanwala after 11 years at Dassault Systèmes. A small team of simulation PhDs and AI and software engineers, working with academic and HPC partners. Meet Innovative Numerics →
A low-risk path from first model to production.
Start small on representative data, then move into your environment once the value is clear.
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Off-site pilot
Prove value before you investWe work on representative, non-proprietary data against your actual workflow problems. An optional hosted sandbox gives your team hands-on time with the agent.
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On-site project
A dedicated agent in your environmentAn InnovFlow agent scoped to the project, installed on your premises. Every script, model, workflow and report is delivered to you.
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On-premise deployment
Production partnershipInnovFlow inside your IT environment for ongoing use, with operations, evolution and support tailored to your security requirements.
Your data stays under your control. Every option respects your data governance, security and AI usage policies.
Technology Partner Program. For hard problems with wider market potential, we share the cost and risk through our venture arm.
Facing a difficult simulation problem?
Tell us about the physics, the materials, the computational cost and the decisions you need to make. We'll help define a practical first step.