Evaluate more design options in less time—using the CAE tools you already use
Automotive engineering teams are under pressure to evaluate more design variants earlier, without increasing compute costs or disrupting established CAE workflows.
This webinar presents a physics-based and data-driven design approach that embeds AI intelligence directly into your existing CAE tools. Simulation becomes a continuous learning system: every design cycle improves predictive accuracy, captures institutional knowledge, and feeds faster decisions.
KOMVOS centralizes simulation and experimental data, automates model training and versioning, and delivers fast AI predictions consistently across teams. ANSA leverages these AI models to accelerate pre-processing, interactive design exploration, and large-scale optimization without the need for parallel toolchains, external environments, or data movement.
Rather than replacing physics or engineering expertise, AI enhances them. High-fidelity simulation remains the reference for accuracy and validation. AI adds real-time feedback, massive scalability, and systematic capture of institutional knowledge.
What You’ll Learn:
- How AI is delivered natively inside existing CAE tools – no separate integration step, no workflow disruption, no data movement.
- How KOMVOS enables a data‑centric workflow – managing data, automated model training, versioning, and prediction delivery across engineering teams.
- How ANSA uses AI to accelerate pre-processing, interactive design exploration, and scalable optimization.
- How turnaround time drops from days to hours through AI-driven optimization loops.
- How AI enhances physics‑based design, converting simulation into a learning system that improves with every design iteration, capturing and reusing institutional knowledge.
Event Details
Date: Wednesday June 24th, 2026
Time: 05:00 – 06:00 pm CEST
Speakers
- Dirk Wunsch, Software Engineering Director, SDA
- Nicholas Mitroglou, Application Engineering Director Cadence
