Skip to content
Arixent

Industries

Manufacturing & Industrial

Predictive maintenance, quality inspection, digital twins and plant analytics.

Talk about your sector
Row of white robotic arms on an automated production line

Overview

Manufacturers have spent decades instrumenting plants. The result is a flood of sensor, quality, maintenance and production data that most organizations still analyze in spreadsheets after the fact. The opportunity is to use it in time to prevent downtime, catch defects and plan better.

We work with discrete and process manufacturers, industrial equipment makers and their suppliers on predictive maintenance, quality inspection, plant analytics, digital twins and the software products that increasingly ship with industrial equipment.

Working on this in your sector? Let's compare notes.

Challenges

What gets in the way

Unplanned downtime

Failures are discovered when they happen, not predicted from telemetry.

Quality escapes

Manual and rule-based inspection misses defects and slows lines.

OT and IT divide

Plant data is trapped in historians and PLCs, disconnected from enterprise systems.

Planning on stale data

Production scheduling relies on yesterday's numbers and tribal knowledge.

Aging plant software

MES, quality and maintenance tools are hard to extend and integrate.

Skills gap

Experienced operators retire and their knowledge leaves with them.

Bring the use case. We will bring the engineering point of view.

Where it fits

Typical use cases

  • Vibration and temperature-based failure prediction
  • Surface and assembly defect detection
  • OEE and production analytics dashboards
  • Digital twins for lines and assets
  • Energy consumption optimization
  • Equipment-as-a-service software platforms

FAQ

Questions about Manufacturing & Industrial

Next step

Ready when you are.

Tell us what you are trying to build and we will come back with a point of view, not a pitch.