AI for manufacturing
that runs inside your factory.
Deploy an artificial intelligence factory at the edge — quality prediction, anomaly detection, and process optimization without sending proprietary data to the cloud.
The problem
Your factory runs on Excel.
AI is just a slide deck.
Pilot purgatory
You ran a PoC. It worked. But it never scaled. Each machine needs separate model training, and your IT team blocked cloud upload of process data.
Black-box models
The AI flags an anomaly but nobody knows why. Operators don't trust it. Without explainability, every alert becomes noise the team learns to ignore.
Centralized AI is too slow
Sending sensor data to the cloud for inference takes seconds. On a packaging line moving 200 units per minute, that's 20+ units of blind production per cycle.
The solution
Factory AI that trains
and infers on the edge.
On-prem model training
iGromi OS trains models per machine directly on edge hardware. No data leaves your plant. Each asset gets its own tuned model for accurate predictions.
Explainable AI outputs
Every alert includes the top signals that triggered it — vibration, temperature, current, or visual defect. Operators understand why and act immediately.
Offline inference at speed
Inference happens locally, with no internet dependency. Production lines keep running and AI keeps working even during network outages.
Integrated with iGromi OS
1 · What your plant already has
- Line cameras
- Process PLC
- Sensors and meters
2 · The iGromi node on site
- Vision that counts units and people per station
- Cross-checks vision with PLC signals
- Everything runs on the plant node
3 · What your team gets
- Output per hour and per station
- An alert when something drifts
- Data for your MES or sheet
Bring artificial intelligence
to your factory floor.
In 30 minutes we'll show you how iGromi OS deploys AI on your existing machines — no cloud, no replacing your machines or PLCs, no data leaks.
Book a diagnosticHow is this rolled out in a plant that is already running?
The same five questions come up in every meeting, whichever solution is on the table. The answers depend on how the system works, not on the module.
Do I have to replace my PLC or my SCADA?
No. The system connects to what is already installed and reads from it; it does not replace the control layer and does not write to it unless that is explicitly defined. If the PLC does not expose its parameters, the iGromi Bridge discovers them by trying combinations until it gets a response, and if the machine speaks no protocol at all it is read by a sensor on the electrical signal.
Does it work if the internet goes down?
Yes. Processing happens at the Edge, inside the plant, so capture, rules and inference keep running with the link down. What stops is remote access and outbound synchronisation, which resumes on its own when the connection returns.
Does my data leave the plant?
Not by default. Video and telemetry are processed on the customer's Edge device. What leaves, and where it goes, is defined when the system is configured. That is the same property that underpins compliance with Chile's Ley 21.719 and what makes this viable in mining and in food.
How long until the first data point?
It depends on how many machines there are and what they expose. A line with equipment that speaks Modbus is read in days; a line of silent machines needs sensors installed and panel shutdowns coordinated, and that is set by the plant's maintenance calendar, not by us. The usual sequence is assessment, pilot, expansion.
What happens to what we already measure by hand?
It runs alongside during commissioning. For the first weeks the manual record keeps going in parallel as a validation counterpart: it is how you find out whether the automatic figure beats the handwritten one, and the habit is dropped on its own once that is demonstrated.
Related solutions
Computer vision on the floor
On-premise AI
Predictive maintenance
Local AI detects bearing, motor and pump faults before production stops.