Simulation Acceleration

Use AI surrogate models to speed up engineering simulations and design iterations

Business impact

• Engineering cycle time — Shortened simulation duration speeds up overall engineering workflows
• Product quality — Faster iterations allow earlier detection and correction of design flaws
• Cost efficiency — Reduced computational resources and manual effort lower development costs
• Time to market — Quicker simulation feedback accelerates product launch timelines

Data requirements

• CAD geometry files (Structured) — Provide detailed design shapes for AI surrogate model input
• Simulation results (Numeric) — Historical CFD and structural data train AI to predict outcomes
• BOM and change histories (Structured) — Supply context on component configurations and design revisions

AI methods and techniques

• Predictive AI — Used to forecast simulation outcomes rapidly without full solver runs
• Generative AI — Generates design variants and suggests geometry modifications interactively

AI models and model families

GPT-4o, Claude, Neural Concept AI models, 3D CNNs

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Antolin.