We add an intelligent layer on top of ICS: we collect telemetry, build a digital twin of the facility and train models to forecast failures and optimise modes.
Predictive diagnostics reduce unplanned downtime, while real-time AI optimisation increases output and extends equipment life. Edge computing plus an MLOps model-retraining pipeline.
What’s included
Predictive maintenance: failure forecasting by vibration, temperature and current
Digital twin of the facility for what-if scenarios and operator training
Real-time AI optimisation of modes — service life, output, energy use
On-site edge computing and an MLOps model-retraining pipeline
How we work
Data & integration
Connecting to SCADA/IIoT, collecting telemetry and historical data.
Models & twin
Building the digital twin, training predictive models.
Deployment
Edge deployment, integration into the control loop.
MLOps
Model-quality monitoring and a retraining pipeline.
Technical specs
- Forecast horizon
- up to 30 days
- Downtime
- − 45%
- Control loop
- < 1 s
- Accuracy, ROC-AUC
- > 0.9
Cooperation models
AI-driven control systems
Let’s discuss your task
Tell us about your facility — we’ll prepare a solution, an estimate and a commercial proposal.
8-800-1000-646