Webinar
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January 9, 2026
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13:00 CET
Synera Add‑In Academy: Modeling Real‑World Physics with Raphos
Bring real-world physics into your Synera workflows with hands-on demos and practical engineering use cases.
Details
In this live session, the Synera team will show how the Raphos Physics Add‑In brings real‑world physical behavior directly into your automation workflows. You’ll learn how engineers use Raphos to model cable bundling, perform reliable formfinding, and define custom goals that drive more realistic, automated design outcomes.
Through practical demonstrations and real examples, see how the Raphos Physics Add-in enable faster iteration, more accurate geometry, and streamlined setup for physics‑driven design tasks.
Key Takeaways
- How the Raphos Physics Add‑In helps you model real‑world behavior directly inside Synera.
- A deep dive into core applications: cable bundling, formfinding, and custom goal definitions.
- How physics‑driven modeling improves accuracy and reduces manual iteration in early design stages.
- How to set up and run physics‑based workflows in Synera.
- Answers to the most common questions about Raphos Physics.
Who is the webinar for?
- Engineering Designers & CAD Engineers: Working with cable harnesses, flexible geometries, or complex formfinding tasks.
- Process & Automation Engineers: Aiming to streamline manual steps and bring consistency to physics‑related workflows.
- Synera Users & Add‑In Explorers: Interested in expanding their toolkit with physics‑based capabilities
Register to join the live session or access the recording afterward.
About Synera
Synera’s AI agent platform automates engineering workflows, integrates with CAx tools, and connects isolated software. It frees engineers from repetitive tasks, speeds complex development, and scales processes. Trusted by Volkswagen, EDAG, Brose, Stihl, Miele, Airbus, and NASA, Synera transforms engineering with collaborative multi-agent systems as a digital workforce.
Our partner
Raphos
Raphos supports engineers and scientists with sophisticated computational tools that combine deep learning, machine learning and traditional engineering strategies. Customised FE/CAD integrations and specialised software products enable powerful analyses, accelerated optimisations and reliable solutions for complex technical challenges.