Shilpa
GenAI for CAD automation and manufacturing engineering.
Overview
Shilpa applies generative AI to the repetitive core of engineering work – CAD automation and manufacturing design. It generates and modifies designs from intent, checks manufacturability early, and captures hard-won engineering know-how as reusable assets, so teams spend their time on the hard problems rather than the routine ones.
The problem
Engineering teams spend disproportionate time on repetitive CAD and design tasks.
The outcome
Generative AI that accelerates CAD automation and manufacturing engineering workflows.
Modules
CAD Automation
Generate and modify designs from intent.
Design Validation
Check manufacturability and constraints early.
Knowledge Capture
Encode engineering know-how into reusable assets.
How it works
Describe intent
Engineers express what they need; the system proposes CAD.
Generate & modify
Designs are created and adapted automatically.
Validate
Manufacturability and constraints are checked early.
Capture knowledge
Decisions become reusable assets for the next design.
Integrations
Ideal for
- Manufacturing and automotive engineering
- CAD and design-automation teams
- Groups burdened by repetitive design tasks
- Organizations formalizing engineering knowledge
- for CAD & manufacturing
- GenAIfor CAD & manufacturing
FAQ
Does it replace our CAD tools?
No – it automates work inside and around your existing CAD and PLM stack.
How is engineering knowledge captured?
Design decisions and constraints are encoded into reusable assets the platform reapplies.
Is the generated output manufacturable?
Design Validation checks manufacturability and constraints before work moves downstream.
How do we start?
A fixed-scope pilot targets one repetitive workflow and proves the time saved.