The brain of your industrial operation.
Prescriptive AI and Digital Twins that simulate, predict, and optimize machine behavior in real time — from intelligent recommendation to autonomous operation.
AI that doesn't just recommend. It acts.
UbGenius goes beyond dashboards. With high-fidelity Digital Twins and Prescriptive AI, the solution learns the real behavior of your assets and delivers intelligence across three operating modes: manual, semi-automatic, or automatic. The AI always recommends — you decide how much it acts.
- Goes beyond dashboards and acts on the operation
- Uses Digital Twins validated at large industrial companies
- Works across different types of industrial process
- Scales with precision from complex operations to high-throughput lines
Three operating modes. You choose the level of autonomy.
The AI analyzes operation history and current data to build the Digital Twin and suggest the best setup adjustments for each moment of production.
The system proposes parameter changes and, once the operator approves them on the panel, applies the adjustments automatically through PLC integration.
At its most advanced stage, UbGenius monitors, decides, and executes adjustments in milliseconds — making the line more autonomous, stable, and efficient.
UbGenius eliminates variability and turns data into action.
Reduces reliance on manual adjustments and improves operational stability in complex processes.
- Eliminates process variability between operators and shifts
- Solves complex calculations in real time with AI
- Reduces waste of raw materials and inputs
- Shortens operational response time
- Improves quality consistency in critical processes
Signs it's time to act.
The need for UbGenius shows up when the plant already has data but still can't turn information into practical action and real optimization.
OEE fluctuates a lot, even with new machines and adequate infrastructure.
The operation depends on highly specific knowledge that's hard to replicate across shifts and operators.
The company collects data but can't convert it into automatic decisions.
It's difficult to keep consistency in chemical, thermal, or high-precision processes.
The operation relies on trial and error, individual experience, or constant manual intervention.
Raw-material waste, rework, and scrap are direct consequences of poor process control.
What changes after deployment
Bring more intelligence and autonomy to your operation.
Optimize processes, reduce variability, and make decisions with greater precision with the support of AI applied to industry.
Talk to a specialist →