Industry: Manufacturing
Context: High-precision assembly
Work: Design automation

Manufacturing design time reduced by over 50%

A high-precision assembly manufacturer needed to turn customer-specific product requirements into manufacturing designs without waiting until the end of the design process to find problems. Historical examples were scarce, engineering trade-offs depended on tacit knowledge, and a numerical solver could not handle the task alone. We combined custom heuristics with multimodal agentic validation. During initial solution testing, this reduced the time needed to produce manufacturing designs by over 50%.

Three squares arranged diagonally across a teal field

Client

Sector: Manufacturing, high-precision assembly
Situation: Product-specific manufacturing designs took weeks to finalize, with validation problems often appearing late in the design process.

Problem

Each past requirement had only one recorded outcome: the manufacturing design that was used. That left too little data for supervised learning, while the historical designs themselves were not necessarily optimal. Quality was partly subjective, and goals such as material use and product quality could conflict. Much of the judgment needed to resolve those trade-offs existed only in the experience of the design engineers.

What was built

Finding viable manufacturing designs

The heuristics search for viable manufacturing designs when historical examples cannot support a conventional supervised model.

Automated design validation

Multimodal AI agents check each proposed design against the available product requirements and equipment limits.

Automatic recovery from failed checks

When a proposed design breaks a constraint, the system adjusts its starting conditions and runs the process again.

Result

Over 50% less time spent producing manufacturing designs

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