Generative design assistant — Automotive
Generative models proposing CAD variants under engineering constraints. Delivered for a automotive client in Surat.
- Location
- Surat
- Year
- 2024
- Duration
- 25 weeks
- Team
- 4 engineers
- 14×
- design iterations
- −23%
- mass
- 7.9
- weeks saved
The challenge
Existing vendors had delivered pieces of a generative design assistant system, but nobody owned the integration and the pilot had stalled.
What we built
We ran a two-week discovery sprint, then built and fielded the system end to end on PyTorch, nTop and Fusion 360, with operator training and an SLA.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Safety case reviewed with the client's EHS team
- Remote monitoring and over-the-air updates included
- Documentation, drawings and source handed over at close
- Runs on-premises; no data leaves the site unless agreed
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