Integrating HOOPS AI into Multi-Agent Engineering Workflows
Erfahren Sie, was es Neues bei HOOPS AI gibt, wie Synera die Plattform nutzt, um KI-gestützte Funktionen zu integrieren, und was die Zukunftsplanung von HOOPS AI vorsieht.
Details
How Synera gives engineering agents geometric intelligence
Ask a large language model to summarize an email thread and it manages fine. Ask it to find a similar CAD part or flag a duplicate in your PLM system, and it has nothing to work with: LLMs understand text, not 3D geometry. This session shows how Synera closes that gap using HOOPS AI, the geometry-vectorization technology from longtime marketplace partner Tech Soft 3D. Andrew Sartorelli walks through how Synera's agentic AI for engineering platform turns CAD geometry into a searchable fingerprint, then runs a live demo: uploading step files through a chat interface, vectorizing them into a database, and asking an agent to find the part most similar to one already on file, screenshots included. He also opens the underlying workflow in Synera's low-code editor, built in a matter of hours by wiring Hoops AI into the platform's existing tools.
Key takeaways
- Why large language models have no geometric intelligence on their own, and how vectorizing CAD geometry through Hoops AI gives agents something to search
- How to run a similar-part search from a chat interface: upload step files, vectorize them into a database, and get back the closest match with screenshots
- How to build a geometry-search agentic workflow in Synera's low-code editor, assembled in hours from existing tools and nodes
- Where customers are already applying this: catching duplicate parts in PLM and PDM systems, reapplying meshing settings from similar geometry, and reusing costing and manufacturability data instead of starting over
- How Synera's marketplace partnership with Tech Soft 3D connects Hoops AI to the 80+ other tools already on the platform
Who is this recording for?
- Automotive and aerospace engineering teams managing large PLM or PDM libraries, where duplicate parts and inconsistent geometry data slow down design and costing
- CAD, CAE, and simulation engineers who want to reuse designs, meshing settings, or costing models from similar parts instead of starting from scratch
- Software partnership and platform leads evaluating how geometric AI fits into an existing engineering tool stack
Teaser:
