INTARAFactory Intelligence
Outcomes

Numbers first. Slides never.

In this demo's story, INTARA ran on Saengthong's three plants for a year. This page is the kind of result a custom build gets measured by — numbers, not promises.

฿12.4M

Downtime cost avoided

Rayong, 12 months — 14 failures caught before they stopped a line.

-37%

Scrap reduction

Moulding Hall 1, six months after Vision QC went live at the eject stations.

+9 pts

OEE improvement

Group average, first year. Honest counting found the losses first.

7 mo

Payback period

Median across the three Saengthong plants, hardware included.

Live from our plants

The same dashboards you can click through in the console — with a year of story behind them.

Saengthong Rayong

Automotive stamping & body parts

Saengthong Chonburi

Precision injection moulding

Saengthong Lamphun

Beverage canning & filling

Why show it this way

A custom platform earns its keep in numbers like these.

Downtime avoided, scrap reduced, honest OEE — these are the metrics a factory-intelligence build is judged on. Your machines, defect types and KPIs would replace Saengthong's; the discipline of measuring stays.

Shaped on the floor

Screens and alerts designed with the people who run the lines, not handed down.

Data stays yours

Edge-first: models run on-site, and your recipes never leave.

Measured from day one

A baseline before the build, so the after is provable — like this page.