Data Intelligence & AI Platform

Data without intelligence is just storage cost. Most infrastructure estates already generate enormous volumes of telemetry, sitting in vendor silos where nobody can ask a question that crosses two of them.

CPS normalises AMI, SCADA, water, security and IoT streams into an ontology-based data lake, so a meter reading, a pressure sensor and an access event describe the same site in the same language. A hybrid edge-cloud architecture keeps inference running locally when connectivity drops, which is not an optional detail on this continent.

The models on top are chosen for payback, not novelty: predictive energy optimisation and demand forecasting, water leak forecasting, asset health scoring, and security anomaly detection across combined physical and cyber baselines. ESG reporting is automated into GRI, CDP and ISO 14001 frameworks so compliance stops being a quarterly scramble. Models retrain continuously in the cloud and the commercial case is reviewed with you every quarter.

What’s Included

• Ontology-based data lake normalising AMI, SCADA, water, security, and IoT streams
• Hybrid edge-cloud architecture: local inference for zero-downtime operation
• Predictive energy optimisation and demand forecasting agents
• Water leak forecasting and asset health scoring models
• Automated ESG reporting into GRI, CDP, and ISO 14001 frameworks
• Security anomaly detection across physical and cyber event baselines
• Continuous cloud AI retraining with quarterly ROI optimisation reviews

Key Outcomes

Who This Is For

Organisations already running metering, SCADA or IoT at scale who need cross-domain analytics, and any entity with GRI, CDP, ISO 14001 or B-BBEE reporting obligations.