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The shop floor already knows. Now it's written down.

Precision machining, aerospace suppliers, industrial OEMs, food & beverage, plastics & composites — every plant runs on data it never reads. We turn job history, travelers, and process records into systems that quote faster, schedule tighter, and answer like your best foreman.

OT/IT boundary awareRuns alongside your ERP/MESNo rip-and-replace

Where you sit

Pick your floor. The use cases narrow with you.

Six sub-sectors, one discipline — scoped inside the workflow, built to written acceptance criteria, operated after go-live.

Precision machining & fabrication

Job shops and fabricators where the estimate, the setup, and the promise date all trace back to jobs you've already run.

Quoting from job history

Draft quotes matched against your past jobs by geometry, material, and tolerance callouts — priced from actuals, queued for estimator review.

Setup-sheet knowledge

Setup sheets, travelers, and machine quirks made searchable at the machine, so second shift runs like first.

Scrap & rework analytics

Scrap traced to job family, machine, and setup from the costing data your ERP already holds.

Capacity scheduling

Promise dates checked against real machine capacity and historical cycle times before the quote goes out.

82%
faster quote turnaround
The value stream

One value stream, automated where it pays.

Every stage keeps a person in charge — we remove the hunting, not the judgment.

  1. 01RFQ intake
    Classified and matched to past work the moment it arrives
  2. 02Quote
    Drafted from your job history, priced from actuals
  3. 03Schedule
    Promise dates checked against real capacity, not hope
  4. 04Production
    Travelers, setups, and machine quirks answered at the machine
  5. 05Quality
    Inspection paperwork drafted from data you already collect
  6. 06Ship & invoice
    Certs, packing lists, and invoices assembled, not retyped

RFQ to invoice · a person signs every consequential step

What's in the way

The problems we see across the industry

Quoting bottlenecks

Estimates depend on a handful of senior estimators, and every week of quote latency is a lost bid.

Tribal knowledge walking out the door

Setups, tolerances, and machine quirks live in operators' heads, not in the ERP.

Data trapped in the ERP

Years of job costing and routing data exist but never reach the people making scheduling calls.

What we build

Tailored to the sector, not adapted to it

Quote & estimate automation

Draft quotes assembled from your job history and routings, priced to your actual costs, queued for estimator review.

Explore the practice

Shop-floor knowledge system

Setup sheets, travelers, and maintenance history made searchable at the machine.

Explore the practice

Production & demand analytics

Throughput, scrap, and lead-time forecasting from the data your machines already produce.

Explore the practice
Proof
Quotes that took four days go out in one morning, and they're built from what the jobs actually cost us last year.

VP of operations · Precision machining · Precision machining shop (~80 employees)

82%
faster quote turnaround
22%
more bids submitted
The data thread
10 yrs
of job history put to work
3
systems unified per engagement
0
platform migrations required

Related

Go deeper

Case study

Quotes in one morning, priced from actual job history

A precision machining shop cut quote turnaround 82% with estimates assembled from a decade of its own job costing.

Read the case study

Resource

What a two-week scoping phase actually looks like

What two weeks on your floor actually produces — timed workflows, signed acceptance criteria, and a scope worth building.

Read the post

Manufacturing & industrial

Bring us the traveler, the router, and the quote log.

A two-week scoping phase on your floor — timing real quotes, reading real travelers, and writing signed acceptance criteria before anything gets built. Scope → Build → Operate.