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.
Data Transformation Solutions
Mnubo for Intelligent Operations
Integrate IoT and operations to enable data-driven decision-making, continuous process improvements, and better business results.
Mnubo for Intelligent Assets
Monitor the health of assets and make timely decisions about repairing and replacing assets to significantly reduce maintenance costs and downtime.
Mnubo for Intelligent Logistics
Become more efficient by developing just-in-time delivery capabilities, accurate asset tracking, advanced inventory management, and increased logistics transparency
Mnubo for Intelligent Customer Experiences
Drive sales with personalized marketing and a deeper understanding of your customers, decrease the cost of issue resolution, and improve the customer experience.