SOLUTIONS / EQUIPMENT MANUFACTURING

Quote faster, buy smarter, improve OEE

An AI workforce that knows your machines, your BOMs, and your margins, working the jobs that keep equipment builders up at night.

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5-10%
procurement spend recovered
4 p.p.
of bottom line expansion
<6 mo
to positive ROI
EXAMPLE USE CASES

Built for the work of building equipment

01

Job quoting & estimation

Quotes drafted in minutes from past jobs, live material prices, and real capacity, not last year's spreadsheet.

02

Predictive maintenance

Failure risk flagged before it takes a line down, with the maintenance window scheduled and the parts order drafted.

03

Job scheduling

Live production views with dynamic re-sequencing when a job slips, a machine drops, or a rush order lands.

04

Inventory management

Shortages predicted before they hit lead time, safety stock tuned by SKU, and reconciliation across every system.

05

Tail spend automation

The long tail of low-volume buys price-checked and negotiated automatically, without mass supplier consolidation.

A DAY WITH THE WORKFORCE

An RFQ lands at 7:40 am. Here is what happens.

01
The agent reads the RFQ from the shared inbox, matches it to similar jobs you have run, and pulls the drawings and specs.
02
It builds the estimate from live material prices, current machine capacity, and the margins you actually made on comparable work.
03
Your estimator reviews a draft quote before the coffee is cold, adjusts one line, and sends. The win gets logged for the next estimate.
04
Meanwhile, in the background, it is watching machine data for failure risk, rebalancing the schedule, and price-checking the week's tail spend.

See it on your own RFQs, your own machines, your own numbers.

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