Skip to content
Industries We Serve

Manufacturing

Modernize production and IoT workflows

We modernize production, inventory, IoT, and quality workflows without losing the logic inside legacy systems, including AI for quality inspection, predictive maintenance, and supply chain optimisation.

Where this usually goes wrong

The constraints we plan around before any of the build starts.

Uptime is everything

An unplanned stop costs more than the automation saves.

Legacy control systems

Production logic is embedded in systems that cannot simply be replaced.

Data at the edge

Sensors, PLCs, and MES systems produce data at volumes and speeds the enterprise stack was not built for.

How we work in this sector

Four stages, each with something you can review before the next one starts.

01

Understand

We map the line, the control systems, and where quality and downtime actually originate.

02

Design

Any control action goes through your existing safety and change process, by design.

03

Build

We start with the data your machines already produce and add instrumentation only where it earns its place.

04

Run

Models are monitored against real plant behaviour, and improvements are released in stages.

What we build

Quality inspection AI
Predictive maintenance
Supply chain optimisation
IIoT connected systems

Outcomes

Inspection that catches defects earlier in the line
Maintenance scheduled from condition, not the calendar
Planning and purchasing fed by demand signals
Plant data connected without disturbing production control
Integration surfaces

Systems we integrate with

We connect to the platforms Manufacturing operations already run on, and leave the systems of record where they are.

SAPSiemensRockwell AutomationAVEVA PIIgnitionOPC UAAzure IoT

Frequently asked questions

Working in Manufacturing?

Tell us how your operations actually run. We will tell you plainly where AI is worth the investment and where it is not.