Clarigo Factory OS.

Case study · Manufacturing

Our own industrial AI platform: predictive maintenance, vision quality inspection, live OEE, downtime alerts and process optimisation, running at the edge on top of the equipment a plant already has.

Industrial AIComputer visionIoTEdge computingDashboardsLive
Clarigo Factory OS on desktop and mobile
Client
Clarigo Factory OS
Industry
Manufacturing
Timeline
Clarigo's own product, available for plants
What we did
Industrial AI, Computer vision, IoT
The client

About Clarigo Factory OS

Clarigo Factory OS is a product we designed and built for manufacturers. It brings together the industrial AI and automation work our team does into one platform for the whole factory floor.

The challenge

What we had to solve

Plants lose time and money to unplanned downtime, defects and manual logging, but automation on a production line has to be careful and cannot depend on the internet. The platform had to work with existing PLCs, SCADA and MES, keep data in the plant, and never take control of machinery without a person approving it.

Our work

What we built

Predictive maintenance that reads sensor and machine data to predict failures before they cause downtime

Vision quality inspection that checks parts on the line in real time

Live OEE, cycle times and throughput for every line and shift, with no manual logging

Downtime detection, reason logging and alerts to the right person

Inventory tracking with early shortage flags, and process optimisation with human-approved changes

Vision AI for safety: missing PPE, restricted zones and unsafe conditions

A simple CMMS for work orders and machine service history

Edge processing with OPC UA, Modbus and MQTT, MES and ERP integration, and air-gapped options

Key features

What it does

Predictive maintenance

Service equipment on evidence, before it fails.

Vision inspection

Catch defects on the line in real time.

Live OEE and downtime

Every line and shift on one dashboard, with instant alerts.

Runs at the edge

Keeps working offline, and data stays in the plant.

How it works

How it rolls out

Plants start small and scale once the results are clear.

  1. 01

    Pilot one line

    Connect to existing sensors, cameras and controllers on a single line.

  2. 02

    Prove the value

    Track downtime, quality and OEE, with people approving every change.

  3. 03

    Roll out

    Extend across lines and connect to MES and ERP.

Results

Where it is today

A complete industrial AI platform built by our in-house team

Sits on top of existing PLCs, SCADA, sensors and cameras, so operators work exactly as before

Designed to pilot on one line, prove the value, then roll out across the plant

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