From Tools to Agents: How Agentic Engineering is Reshaping Simulation Driven Product Design

🤖 WHAT IS AGENTIC ENGINEERING? In this session, Jon Wilde, VP of Product at SimScale, breaks down how AI-driven agentic workflows are automating simulation setup, compressing design cycles, and scaling expert-level engineering across entire teams — transforming simulation from a specialist bottleneck into a system-level capability. ⚡ REAL RESULTS FROM THE FIELD Armin Narimanzadeh, Manager of Thermofluids & Simulations at Convion, shares how his team used SimScale's Physics AI to reduce an ejector design optimization from months to under one hour — and discovered a geometry that cut physical volume by 50% while hitting every performance target. Learn more about AI in SimScale: https://www.simscale.com/product/ai-infrastructure/ 🕒 TIMESTAMPS 00:00 — Introduction 02:16 — Why AI hasn't yet unlocked hardware engineering 07:06 — SimScale platform overview 09:14 — The simulation lead time problem 14:26 — Convion: Physics AI for ejector design optimization 39:47 — Physics AI vs. traditional CFD explained 41:44 — Engineering AI & agentic workflows demo 47:37 — Other engineering AI use cases 49:26 — Q&A 🔑 KEY TAKEAWAYS - Why fragmented simulation data is the real barrier to AI in hardware - The difference between Physics AI (instant prediction) and Engineering AI (agentic orchestration) - How Convion trained a Physics AI model on ~200 CFD runs and now runs full optimizations in minutes - How to share validated AI models across your engineering team - Why human validation still matters — and how to build it into your workflow 🔗 LINKS & RESOURCES ➡ Try SimScale free: simscale.com ➡ Join the waitlist for Engineering AI early access: https://www.simscale.com/engineering-ai-waitlist/ ==========Follow us on social========== LinkedIn: https://hubs.la/Q01cDsPX0 Facebook: https://hubs.la/Q01cDtKN0 X: https://hubs.la/Q02CBmx50 Instagram: https://hubs.la/Q01cDvb40 Instagram (Life at SimScale): https://hubs.la/Q01cDvrz0