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Wayam AI
Engineering Automation

Shilpa

shilpa - craft, skilled making

GenAI for CAD automation and manufacturing engineering.

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At a glance

Category
Engineering Automation
Theme
Engineering & Design Automation
Industries
Manufacturing, Automotive
Capabilities
4 composed
Pairs with
Sama

Who it is for

  • Manufacturing and automotive engineering
  • CAD and design-automation teams
  • Groups burdened by repetitive design tasks

Systems it sits on

CATIA · SolidWorks · Siemens NX · Autodesk

Also used in

ManufacturingAutomotive

Pairs with

Sama

Generative CAD visual with a mechanical part forming from structured particles

Explainer

Shilpa in two minutes

A narrated walkthrough of the problem, how Shilpa works, and what changes. Captions are available in the player.

Shilpa: Repetitive engineering work, automated and checked.Running time 2:11

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.

How it works

How Shilpa works

  1. 01

    Describe intent

    Engineers express what they need; the system proposes CAD.

  2. 02

    Generate & modify

    Designs are created and adapted automatically.

  3. 03

    Validate

    Manufacturability and constraints are checked early.

  4. 04

    Capture knowledge

    Decisions become reusable assets for the next design.

Abstract icon for the CAD Automation module of Shilpa

Module 01

CAD Automation

Generate and modify designs from intent.

  • 02

    Design Validation

    Check manufacturability and constraints early.

  • 03

    Knowledge Capture

    Encode engineering know-how into reusable assets.

for CAD & manufacturing
GenAIfor CAD & manufacturing

Use cases

Where Shilpa runs

All 5 in the library

Engineering

Generating Sheet-Metal Bracket Variants Under Manufacturing Constraints

An automotive tier-1 supplier produces several hundred bracket variants a year, most of them minor adaptations of an existing design to a new mounting position.

Engineering

Capturing Retiring Engineers' Design Rules as Reusable Assets

A heavy machinery manufacturer faces a wave of retirements among the engineers who hold three decades of undocumented design judgement.

Engineering

Early Manufacturability Feedback on Cast Housing Designs

A pump manufacturer designs cast housings whose manufacturability problems - draft angles, wall thickness transitions, core support - surface only when the foundry quotes.

Engineering

Accelerating Change Propagation Across a Product Family

An industrial equipment maker changes a shared interface dimension and must propagate that change across forty derivative designs built on it.

Engineering

Standing Up Design Automation Inside an Existing CATIA and PLM Stack

An aerospace supplier wants design automation but cannot move off its established CATIA and Teamcenter environment, where certification evidence lives.

Integrations

CATIASolidWorksSiemens NXAutodeskPLM systems

Ideal for

  • Manufacturing and automotive engineering
  • CAD and design-automation teams
  • Groups burdened by repetitive design tasks
  • Organizations formalizing engineering knowledge

Capabilities

Shilpa composes these capabilities from the shared Agent Platform layer. The same atoms power the rest of the portfolio, so adopting a second accelerator reuses the integration work rather than repeating it.

Composition

Shilpa is assembled from shared platform atoms. Hover a partner to see what you reuse on the next deployment.

Pairs with

Reason

Generative Design
Designs, tests, and code generated from stated intent and checked against constraints before a human reviews.

Ingest

System Connectors
MCP-connected reads and writes against the ERP, MES, PLM, CRM, and warehouse systems already in place.

Reason

Root-Cause Reasoning
Symptoms traced back through system, process, and genealogy relationships to the change that caused them.

Govern

Human Approval
Explicit approval boundaries: anything consequential waits for a person, and the wait is recorded.

Pairs with

BOM Synchronization

Sama

Engineering, manufacturing, service, and software BOMs kept in step as designs move.

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.