The CADFEM Conference Rapperswil: AI beyond the trend

This year, the conference brought together engineers, simulation experts, and R&D professionals from many industries. Its program spanned structural mechanics, fluid dynamics, AI and simulation, automation with Python, and optics.

Notably, AI drew the biggest crowds. The sessions filled the large conference hall, and the breadth of the audience showed how relevant practical AI has become for engineering teams. As a result, conversations moved quickly from general curiosity to concrete use cases.

STOCHOS Flow and Agentic AI for engineering

One highlight came from Dr. Kevin Cremanns, who presented the latest developments in STOCHOS Flow and the role of Agentic AI in engineering. He showed how the platform lets engineers build domain-specific workflows and custom agents. In practice, these workflows connect engineering knowledge, simulation data, solver logic, probabilistic models, optimization, and reporting into transparent processes that teams can adapt, reuse, and share.

STOCHOS in real engineering projects

Beyond the talk at the CADFEM Conference Rapperswil, two projects with CADFEM put STOCHOS to work. One project, with VAT, linked real measurement data and CFD simulation results to predict flow more precisely. Another, with Jaeger-LeCoultre, applied STOCHOS in the context of high-precision watch mechanics.

Together, these examples grounded the AI discussion in concrete results. Moreover, the strong interest in the sessions and the many conversations at our booth confirmed that engineering teams are ready to move from AI exploration to practical implementation.

Finally, a big thank you to CADFEM Switzerland for the invitation, the organization, and the continued collaboration.

About PI Probaligence

PI Probaligence GmbH develops local, probabilistic AI for engineering and R&D. Based in Grafing bei Munich and part of the CADFEM Group, PI is an Ansys Technology Partner. STOCHOS and STOCHOS Flow build fast, uncertainty-aware surrogate models from simulation, experimental, and process data. As a result, teams shorten development cycles and make more reliable decisions.

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AI in engineering, beyond the buzz

The sessions moved past the AI hype and focused on what already changes engineering work: AI-enhanced structural, thermal, electromagnetic, and multiphysics simulation, predictive engineering, and smart digital applications. The full program is on the official event page.

The audience matched that breadth, with attendees from electronics and semiconductor, aerospace and defence, automotive, and academia. In line with Singapore’s national AI initiatives, one theme ran through the day: real adoption happens when industry, academia, and technology partners work together.

Predictive engineering on the agenda

A highlight was the session on AI-powered predictive engineering with STOCHOS, presented by CADFEM. The response confirmed a clear shift from traditional simulation toward predictive, data-driven engineering. Concrete use cases drew the strongest engagement: practical AI on specific engineering problems sparked more questions than any abstract AI topic.

After the CADFEM AI Conference Singapore

The conference also deepened the collaboration with CADFEM APAC and brought new perspectives from the Southeast Asian market back home. STOCHOS Flow drew particular interest as the workflow layer that puts these methods into daily engineering practice. Thanks to the CADFEM team for the organization and the hospitality. We look forward to building on this momentum across the region.

About PI Probaligence

PI Probaligence GmbH develops local, probabilistic AI for engineering and R&D. Based in Grafing bei Munich and part of the CADFEM Group, PI is an Ansys Technology Partner. STOCHOS and STOCHOS Flow build fast, uncertainty-aware surrogate models from simulation, experimental, and process data. As a result, teams shorten development cycles and make more reliable decisions.

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