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Supercharge Your Engineering with Advanced AI

Accelerate R&D and Optimize Processes Using Ansys SimAI or Stochos

Two Breakthrough AI Solutions for Unmatched Speed & Scale

Push your engineering to new frontiers with Ansys SimAI in the cloud and Stochos on-prem machine learning, each fueling unstoppable innovation, deeper insights, and faster results.

Ansys SimAI: Cloud-Powered Intelligence to Transform Your Simulations

  • Accelerated Model Training: Leverage existing simulation outputs to train AI in days, then predict results in seconds.
  • Multi-Physics & Complex Geometries. Handle fluid, structural, thermal, and electromagnetic data with minimal manual prep.
  • Expand Your Exploration – Evaluate dozens more design variants without ballooning HPC costs or schedule delays.

Stochos: The On-Prem AI Engine for Real-World Innovation

  • End-to-End Machine Learning, In-House: Keep all your data and intellectual property on site while deploying advanced algorithms.
  • Generative Design & Bayesian Optimization – Rapidly explore new shapes or parameters and converge on the best solutions faster.
  • Efficient & Adaptable – Minimal hardware requirements, seamless integration, and quick learning from small or large datasets.

Ansys SimAI: Cloud AI that Supercharges Simulation

Ansys SimAI uses your existing simulation data to train an ultra-fast, high-fidelity AI model. From fluid and thermal to structural and electromagnetic, it tackles all physics—unlocking more design exploration at a fraction of the time and cost.

  • Train in Days, Predict in Seconds – Turn historical solver outputs into quick AI-driven insights.
  • No Parametrization Hassles: Handle inconsistent geometries and multi-physics seamlessly.
  • Accelerate Design Exploration. Evaluate up to 50× more configurations.
  • Reduce HPC Overhead – Run fewer full simulations while achieving top-tier accuracy.
  • Cloud-Collaborative: Give distributed teams easy access to AI models and results.
Ansys SimAI 2

Stochos: On-Prem AI that Redefines Engineering Boundaries

Stochos AI 2

Stochos transforms your engineering data—no matter how diverse—into actionable insights. With minimal hardware demands and powerful generative features, it unlocks rapid concept exploration while keeping your intellectual property safely on-site.

  • DIM-GP Algorithm – Handles noise and non-linearities without specialized tuning.
  • Generative AI & Bayesian Optimization: Quickly propose new shapes or parameters.
  • Ultra-Fast Predictions. Seconds vs. hours of traditional HPC.
  • Streamlined Integration – Export as interactive web apps or plug directly into workflows.
  • 100% On-Prem: Maintain full control and security over your data.

Ready to Transform Your Engineering Roadmap?

Find the ideal solution—or harness both—for your unique challenges. Whether you need a cloud-powered engine to supercharge simulation workflows (Ansys SimAI) or on-prem control for highly sensitive or varied data (Stochos), our experts will guide you every step of the way.

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Examples

Ansys SimAI in Action

 

Bumper Impact Performance

Bumper Impact Performance

  • Traditional Crash Analysis: Dozens of hours for each variation

  • SimAI: ~1 min per variant, <0.5% crush error

  • Outcome: 20× more designs tested, ensuring safety standards faster.

SUV Aerodynamic Performance

SUV Aerodynamic Performance

  • Classical CFD: 5 hours on 200 cores per design

  • SimAI Prediction: ~30 seconds, <0.5% drag error

  • Outcome: Tested 20× more concepts, cutting HPC usage drastically.

Hull Design Exploration

Hull Design Exploration

  • Baseline CFD: ~4 hours on 32 cores per run

  • SimAI: ~1 minute per new geometry, <4% error

  • Outcome: Identified drag-efficient hull shapes early, boosting fuel efficiency.

Examples

Stochos in Action

 

3D CFD Car Body Pressure

3D CFD Car Body Pressure

  • Without Stochos: ~80 minutes on 16 CPU cores

  • With Stochos: ~1 second, ~1.29% mean relative error

  • Outcome: Rapid geometry iteration to refine aerodynamics.

FEM Crash Test

FEM Crash Test

  • Traditional Simulation: Several hours per scenario

  • Stochos Prediction: Seconds, ~5.73% average error across nodes/time steps

  • Outcome: Quick safety optimizations, saving HPC resources for final validations

Generative AI for Structures

Generative AI for Structures

  • Method: Automatically propose new shapes while balancing weight, displacement, and cost.

  • Outcome: Engineers find Pareto-optimal designs faster than with brute-force simulation.