Artificial intelligence in Industrial Automation
Predictive Maintenance
Reduce unplanned downtime using model-driven predictions from sensor streams and historical data.
- Vibration & temperature analytics
- Remaining useful life (RUL) estimates
Anomaly Detection
Automated detection of abnormal behavior in process signals using unsupervised learning at scale.
- Real-time alerting
- Root-cause assist
Digital Twin & Optimization
Create digital twins for process simulations and automated control tuning using reinforcement learning.
- Model-based optimization
- Scenario testing before commissioning
Key Capabilities
Edge AI
Deploy inference closer to PLCs and controllers for deterministic, low-latency insights.
Cloud Enablement
Scale training and analytics in the cloud and integrate with enterprise systems.
Explainable Models
Interpretable ML to let engineers validate why a model raised an alarm.
Data Ops
Automated data pipelines, cleansing, labelling and feature stores tailored for industrial signals.
AI Knowledge Hub
- Will AI integrate with my DCS or SCADA?
- Yes — our connectors integrate via OPC-UA, MQTT and secure edge gateways to existing control systems.
- How long to deploy a pilot?
- Typical pilot deployment takes 6–10 weeks including data collection, baseline modelling and pilot validation.
- Do you use cloud or on-premise?
- Both. We design hybrid architectures: edge inference + cloud training depending on requirements.
Ready to apply AI to your plant?
Schedule a quick discovery call and pilot plan with our AI engineers.