Heating and cooling systems consume between 25-30% of the annual total energy use in residential buildings and between 40-60% in commercial buildings. Undetected problems in commercial and residential HVAC systems decrease energy efficiency and can lead to thousands of dollars in repairs.
We aggregate data from critical assets and use data science models to find trends, analyze cause-and-effect patterns, benchmark HVAC performance, and compute cost-efficiency metrics.
Our intuitive modeling and management capabilities allow you to easily plug into various streaming or non-streaming data sources to quickly ingest, cleanse, and process data.
Optimize Energy Consumption
Use data from HVAC, water heaters, pumps and air handling units to optimize building performance and energy use during peak hours
Reduce Asset Downtime
Monitor usage and get detailed insights on assets across your facilities. Reduce unplanned downtime with visibility on machine health.
Reduce Service Costs
Manage inventory and supply chain, and proactively plan truck rolls. Empower dealers with troubleshooting and predictive insights.
Enable Automated Demand Response
Predict expected energy usage according to performance, schedules and outdoor weather.