Manufacturing

Sector — Manufacturing

AI for Manufacturing.

Predictive maintenance for production equipment, vision based quality inspection, agentic scheduling for OEE optimisation. Production grade, not demo grade.

AI in Data

Your dormant data: quality, downtime and supplier records across legacy systems. The payoff: less scrap and rework, fewer unplanned line stops.

See how AI in Data applies to manufacturing →

Australian manufacturing sits in the gap between an enormous AI opportunity (35.3% CAGR sector) and a track record of pilots that stall. We exist to close that gap.

Most manufacturers we meet have run two or three AI pilots. Few have one in production. The reason is rarely the model. The reason is the gap from prototype to a system the operations team can run on day shift, swing shift, and night shift without an AI specialist on call.

AI in manufacturing lands first where the constraint is most felt: equipment downtime, line-speed quality inspection, and OEE drift. The specific, the measurable, the operator-actionable.

Why us, for Manufacturing.

We build production grade systems. XP discipline, full test coverage, deployment your operations team can run, observability that surfaces the right alerts, not all alerts.

And we ship in weeks. Six to eight weeks to a working agent in production is the norm, not the exception. The first measurable outcome lands inside the first 90 days.