Generative design assistant — Aerospace
Generative models proposing CAD variants under engineering constraints. Delivered for a aerospace client in Nagpur.
- Location
- Nagpur
- Year
- 2023
- Duration
- 25 weeks
- Team
- 4 engineers
- 27×
- design iterations
- −32%
- mass
- 8.3
- weeks saved
The challenge
Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in aerospace.
What we built
A phased rollout: a measured pilot first, then scale-out. The core runs on PyTorch with nTop, integrated into existing systems through Three.js.
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
- Remote monitoring and over-the-air updates included
- Operator training delivered in Gujarati, Hindi and English
- Documentation, drawings and source handed over at close
- Runs on-premises; no data leaves the site unless agreed
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