Industrial diagnostics

From an unusual reading to a reviewed maintenance decision.

Qriton brings sensor data, inspection imagery, maintenance history and operator knowledge into one view, so your specialists can assess likely failure modes and decide what to do. The scope is agreed and measured in a pilot on your own data.

An anomaly alert is not a maintenance decision.

The hard work starts after a threshold is crossed. Vibration, acoustics, images, work orders and operator notes rarely arrive in one view, and a risk score does not say which failure modes contribute or what to fix first.

After an incident, teams rebuild the reasoning from systems that captured only part of the story.

What changes.

One view

Sensor readings, images, work orders and operator notes for an asset, gathered in one place for the specialist.

Measured first

Diagnostic models are scoped and measured on your own data in a pilot before any production use.

Decision record

Why the part was repaired, monitored or replaced, on file for the auditor and the insurer.

How it works.

01

Collect

Time series, logs, notes, images, 3D data and safety context, from the systems you already run.

02

Analyse

Anomalies and likely failure modes are flagged and prepared for specialist review.

03

Review

Specialists see the evidence and approve or challenge the diagnosis.

04

Act

Your team decides whether to repair, monitor or replace, with a record kept for later review.

Questions.

Which data can the diagnosis use?
Time-series sensors, logs, work orders, operator notes, inspection images and 3D point clouds, according to the pilot scope.
Does it replace our monitoring systems?
No. It starts from the evidence those systems already produce and adds a diagnostic and decision layer.
Can it run inside the plant?
Yes. Qriton runs on customer-controlled infrastructure when data cannot leave the site.

Bring us the decision that has to be right.

BriefingPilot on your dataProduction