IndustryIndustrial manufacturing

AI systems for industrial manufacturing.

The workflow pattern we see in this industry, and what we would build for it.

The workflow pattern4 steps · Every handoff is manual

01

Inbound spec arrives

A buyer emails a drawing or spec pack. Someone re-types it into the system.

02

Engineering review

An engineer checks feasibility by hand. The spec waits in a queue for their time.

03

Quote assembled

Pricing is pulled from spreadsheets and old quotes. The draft passes between desks.

04

Order booked

The win is keyed into the ERP by hand. Nothing from the quote carries over.

What we would build4 named deliverables

A quote desk agent.

An agent that reads inbound specs, drafts quotes for human review, and routes exceptions to your engineers. Your team keeps the final say on every quote. The agent removes the re-typing and the queue time.

10 to 14 weeks from kickoff to a live production system. We stay through adoption.

Named deliverables
01

Eval harness

Checks agent outputs against a test set before release.

02

Reliability gates

Hard checks the system must pass before it ships.

03

Live production system

The working system in your stack, not a report.

04

Adoption Mile

To the 70 percent weekly-active bar by day 90.

Industry ranges · Not ClearForge results3 illustrative rows

Ranges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.

See the proof

Start where every engagement starts. The fixed-fee Diagnostic maps this workflow in your plant in 2 weeks.

Starting point · Forge Diagnostic
Next stepFixed fee · 2 weeks

Start with the fixed-fee Diagnostic.