The AI Revolution in
Engineering Simulation
From parametric CAE and Physics-Informed Neural Networks to Geometry AI and Agentic workflows — discover how MeshWorks & AIWorks are compressing product development timelines by 10x across the world's most demanding industries.
Product Cycles Are
Shrinking Fast.
Automotive programs that once took 5 years now target 18 months. Consumer electronics demand 3-month turnarounds. Traditional CAE workflows — CAD → Mesh → Simulate → Iterate — can't keep pace.
MeshWorks and AIWorks were built to close this gap. With Physics-Informed Neural Networks, Reduced Order Modeling, and Agentic AI workflows, your simulation team can predict, design, and optimize at a speed that was previously unimaginable.
10× Faster Simulation Runtimes
Reduced Order Modeling converts detailed FE models into fast, accurate surrogates. A 1-hour Nastran run becomes a 5-minute computation — without compromising physics fidelity.
AI That Understands Physics
Our Physics-Informed Neural Networks embed Navier-Stokes, FE equations, and large-eddy simulation directly into the loss function — delivering <1% drag prediction error and sub-5% structural frequency error.
10 Design Iterations in a Single Day
Parametric CAE + sub-model automation allows teams to explore and iterate directly on mesh-level models, skipping the CAD roundtrip that adds weeks per cycle.
Proven Globally at Scale
Deployed at major OEMs across the US, Japan, Korea, India, China and Europe — including names synonymous with automotive, aerospace, and heavy equipment.
Everything You'll Learn Across 5 Sessions
Ultra-fast FE model building (tetra, hexa, mid-plane), automated assembly, smart connections (bolts, welds, contacts), and highly automated post-processing with 3D-embedded reports. The data-generation engine for all AI workflows.
Train AI models for structural stiffness, crash impact, aerodynamics (CD + pressure fields), NVH frequencies, and more. Uses graph-convolutional neural networks with embedded physics loss. Replaces multi-day solver runs with sub-minute predictions.
Automatic recognition of engineering features across complex assemblies. Enables pattern-based design generation, feature-parametric optimization, and AI-assisted concept development without returning to CAD.
Voxelation-based data analysis processes hundreds of designs in a unified 3D space. Statistical visualization of shape, thickness, stress, and material distributions. The insight layer before AI training.
AI models that generate new geometries, not just predict responses. Combines CAD morphing, concept modeling, and generative topology — creating viable new designs directly at the FE model level.
AI agents that autonomously manage simulation workflows — queuing runs, monitoring convergence, triggering optimizations, and generating reports. The future of simulation where engineers supervise, not execute.
5 Episodes.
One Complete Picture.
Each episode stands alone. Attend all five for a complete mastery of the AIWorks platform.
MeshWorks & AIWorks: The Complete Platform Overview
The industry is demanding 18-month vehicle programs. Consumer electronics teams have 90 days. This opening session establishes why traditional CAE simply cannot keep pace — and how the MeshWorks + AIWorks platform was architected to meet that challenge. Walk away with a complete picture of the integrated workflow: from fast model building and Reduced Order Modeling, to the full AIWorks module family and the industries already benefiting globally.
Simulate AI — Physics-Informed Prediction for Real Engineering Problems
A deep dive into the Simulate AI module — the engine that replaces costly physics-based solvers with highly accurate, physics-informed neural network models. We'll walk through live automotive examples spanning torsion/bending stiffness, side & frontal crash, trimmed body NVH, and full-vehicle aerodynamics (CD + pressure field prediction). Understand the PINN architecture, how physics loss functions differ from standard ML, and why equivalence scoring matters before you trust an AI model in production.
Features AI — From Geometry Recognition to Intelligent Design Generation
Engineering designs are defined by features: ribs, bosses, fillets, flanges, holes, spot-welds. Features AI brings machine intelligence to the recognition, classification, and manipulation of these features at scale. This session covers how the module automatically detects feature patterns across assemblies, how features become parametric handles for rapid design space exploration, and how combining feature recognition with data-driven insights enables AI-assisted concept generation without ever returning to CAD.
GEOM AI — Generative Geometry, Morphing & AI-Driven Shape Optimization
What if your AI model didn't just predict — it designed? GEOM AI extends simulation intelligence into the geometry domain. This session covers CAD-level morphing directly from AI-optimized outputs, automated sub-model generation for local design improvement, generative topology at the mesh level, and Digital Twin creation by mapping manufactured scan data onto nominal FE models. See how drag coefficients drop in real-time as morphing parameters are adjusted and instantly re-predicted.
Agentic AI — Autonomous Intelligent Simulation Orchestration for Engineering
The final frontier of AI-augmented engineering: agents that don't just assist — they act. In this session, we explore how Agentic AI in AIWorks orchestrates multi-step simulation workflows autonomously. Agents manage data pipelines, invoke solvers (physics or AI), monitor convergence, execute optimization loops, and generate rich reports — all without engineer intervention. We'll also cover the AIWorks Optimizer architecture, multi-disciplinary synchronization, and how to architect an agentic simulation org for maximum throughput.
Built for Simulation
& Design Engineers
CAE / FEA Engineers
Structural, durability, crash, and fatigue simulation professionals looking to augment solver workflows with AI.
CFD / Thermal Engineers
Aerodynamics, CHT, and fluid simulation engineers seeking 10x faster design exploration cycles.
CAD / Mechanical Designers
Product designers and CAD engineers who want to close the loop between design and simulation using AI.
NVH / Acoustics Engineers
Noise, vibration, and harshness specialists optimizing trimmed body frequencies and acoustic performance.
Simulation Team Leads
Engineering managers responsible for CAE process efficiency, data strategy, and AI adoption roadmaps.
AI / ML Engineers in Industry
Data scientists and ML practitioners applying machine learning to physical simulation and engineering data.
Automotive Engineers
BIW, chassis, powertrain, and system-level engineers accelerating vehicle development programs.
Aerospace & Defence
Structural and aerodynamic engineers working on reduced-weight, high-performance aircraft and UAV platforms.
Secure Your Seat
for All 5 Episodes
Register once and get access to the complete AIWorks Webinar Series — live sessions, recordings, and exclusive technical resources shared with all attendees.
