Intelligent anomaly detection and infrastructure monitoring — designed for environmental monitoring, water safety and smart infrastructure systems.
CORE² continuously observes environmental and operational signals across infrastructure and recognizes deviations from normal behavior — before they become failures.
The platform operates as a monitoring layer alongside existing infrastructure rather than replacing it, making it suitable for retrofit deployments in buildings, utilities and industrial environments.
Early detection limits the consequences of leaks, equipment faults and environmental drift.
Continuous monitoring shortens reaction time and supports preventive maintenance decisions.
Insight into operational behavior helps reduce waste and unnecessary consumption.
CORE² is event-driven: it characterizes baseline behavior and surfaces deviations rather than streaming raw telemetry. This reduces alert fatigue and keeps the system practical for real infrastructure operators.
Baseline behavior characterized over 14d window. Deviations surface as events, not raw telemetry.
Leak and consumption anomaly detection for buildings, apartments and utility infrastructure.
Continuous-flow recognition for property protection, commercial buildings and infrastructure systems.
Environmental and operational diagnostics for critical building and utility systems.
Intelligent anomaly detection for cooling systems — identifying abnormal operational patterns before critical temperature changes or equipment failure occurs.
CORE² is designed to identify abnormal operational patterns that may indicate developing cooling system issues before critical failure occurs. The concept focuses on detecting changes in system behavior such as abnormal cooling cycles, unusual runtime behavior, airflow changes, pressure anomalies, environmental deviations, irregular system patterns, and cooling instability trends.
The long-term goal is to provide earlier warnings before temperature loss, product spoilage, system shutdown, or critical equipment failure — not by predicting failure, but by recognizing when operational behavior drifts outside normal parameters.