Intelligent Control

Make Your Machines Think,
Learn, and Perform Better

Machines that learn from data, adapt to changing conditions, and optimise themselves — without replacing your existing control system.

Plug-and-play Self-learning Continuous optimisation No extra sensors required

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Higher throughput

Continuous real-time optimisation keeps your process at peak output throughout the machine’s lifetime.

Improved accuracy

Our models identify and compensate for non-linear effects that classical control cannot capture.

Health monitoring

Detect faults weeks before failure using signals your machine already measures. No extra hardware needed.

Energy saving

Keep every actuator and process unit at its optimal operating point automatically, all the time.

How it works

From sensor data to self-improving machine

Four steps — running continuously, in the background, without interrupting your process.

Measure

Collect signals already available in your system.

→

Model

A digital twin runs in parallel, predicting system behaviour from first principles.

→

Learn

A neural network captures the residual errors and updates the twin continuously.

→

Act

Optimise setpoints, trigger early warnings or adapt control parameters — all closed-loop.

What we offer

What our technology delivers

Six building blocks, one intelligent system.

System Health Monitoring

Detect faults — bearing wear, imbalance, misalignment, degraded actuators — weeks before they cause downtime. The digital twin knows what the system should look like; deviations are anomalies.

Anomaly detection Fault classification Remaining useful life

Energy Optimisation

Every actuator, pump or drive has an optimal operating point. Intelligent control finds and maintains it automatically — even as load, temperature and wear change over time.

Best efficiency point Setpoint adaptation Load tracking

Performance Optimisation

Maximise throughput and accuracy over the full machine lifetime. As parameters drift with age or environment, the system identifies and compensates — keeping performance at day-one levels.

Adaptive feedforward Parameter tracking Lifetime calibration

Digital Twin

A living model of your system — built from physics, updated by data. It provides the reference against which all learning, optimisation and anomaly detection operate.

Physics-based Real-time update Interpretable

Neural Network

It combines a physics model with a neural network. Physics provides structure and interpretability; the network captures what physics cannot model. Better than either alone.

Non-linear identification Hybrid modelling

Edge Deployment

All intelligence runs on a compact DIN-rail device — no cloud dependency, no latency, no data leaving the factory. Integrates with your existing drive, PLC or SCADA via OPC-UA, EtherCAT or Modbus.

Plug-and-play OPC-UA · EtherCAT No cloud required

Applications

Built for any machine

Wherever you have rotating or driven systems, repeating processes, or energy-intensive actuation.

Rotating machinery & drives

Detect bearing faults and imbalance without additional hardware. Setpoints optimised for energy efficiency.

–15% energy consumption

weeks earlier fault detection

Pumps & fluid systems

Best Efficiency Point maintained automatically. Cavitation and blockage detected — no flow or pressure sensors needed.

BEP maintained automatically

–20% pump energy use

High-tech systems

Friction and wear tracked and compensated over the machine's lifetime improving the tracking error and settling time.

+12% throughput (typical)

0 extra sensors

Ready to make your machine smarter?

Tell us what you're building. We'll show you what intelligent control can do for it.

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