Predictive maintenance
Vibrations, power draw and temperatures become failure forecasts: interventions are planned before the stop, not after.
Sectors · Manufacturing
AI that keeps the line running.
Predictive maintenance, in-line quality, planning: agents read machine, MES and quality data — and act before a problem stops production.
Unplanned downtime is the most expensive cost.
The data to avoid it already exists: vibrations, temperatures, cycles, scrap, orders. It lives in separate systems — sensors, MES, ERP, shop-floor sheets — and nobody reads it together. Our work starts there: connecting it into a single operating model of the plant.
On that model, AI agents work continuously: they recognise process drift, propose the intervention, and execute it within approved limits. Critical decisions always pass through an operator.
Sectors
An example, step by step.
data
A batch drifts from quality parameters.
agent
The agent isolates the batch and recalibrates the line.
outcome
Zero downstream scrap. Production continues.
Where to start.
In-line quality
Process drift is recognised as it happens: immediate recalibration, less scrap, full batch traceability.
Planning and OEE
Production sequences optimised on real demand, machine availability and shifts: OEE grows without new machinery.
Rooted where things are made.
We work in the manufacturing districts of Northern Italy: the Motor Valley around Modena, the Sassuolo ceramics district, the Mirandola biomedical cluster, Bologna packaging, Reggio Emilia mechatronics and the Lombard supply chains. The operational trial happens on your shop floor, on your data.
Other sectors
Energy Logistics Public sector Healthcare Defence
The first step
Operational from week one.
A real use case, on your data, in production. Then it grows, week after week.
30 minutes video call €150 free July promotion
Start an operational trial It starts with a session with our engagement expert. Your data stays yours, always.