ML Insights
Machine learning analytics — anomaly detection, predictive maintenance, and tenant behavior insights.
AI · Every building type
What an AI copilot can do with it.
Every module publishes its own tools over the Model Context Protocol, so an assistant can act on the building rather than just describe it.
ml_get_anomalies
Detects operational anomalies in energy consumption, HVAC thermal response, and foot traffic using machine learning models.
ml_get_predictive_maintenance
Retrieves AI-predicted equipment failure risks, estimated remaining useful life (RUL), and recommended service timeframes.
On a real building
See ML Insights on a real building
We will run it against your floor plans rather than a sample dataset.