Ambient Context delivers energy productivity for commercial and industrial facilities through machine learning and predictive AI. Our digital twin technology integrates with existing BMS, BACnet, and Modbus systems to optimize building energy use, enable demand response participation, and provide predictive maintenance capabilities.
Large scale orchestration of distributed energy resources, virtual power plants, and demand response for system value and grid stability.
Intelligent scheduling and control of HVAC, lighting, and process loads across multiple zones and buildings.
Prepare your facility for virtual power plant participation with automated response capabilities.
Automated participation in utility demand response events for additional revenue streams.
Reduce demand charges through intelligent load shifting and predictive peak avoidance.
HVAC, lighting, and process loads optimized through machine learning for maximum energy productivity.
AI-driven heating, cooling, and ventilation control based on occupancy, weather, and time-of-use pricing.
Learn building usage patterns to optimize energy consumption without compromising comfort.
Shift flexible loads to lower-cost periods and pre-condition spaces before peak pricing.
Track output per unit of energy, not just consumption. Measure what matters for your operation.
Machine learning-driven digital twins for energy optimization and predictive maintenance that prevents costly equipment failures.
Machine learning identifies equipment degradation before failure through power signature analysis.
Continuous monitoring of HVAC units, pumps, motors, and other critical equipment.
Shift from emergency repairs to planned maintenance. Extend asset life and reduce downtime.
Non-intrusive load monitoring identifies every device by its electrical signature without individual sensors.
From manufacturing to warehouses to data centers, Ambient Context delivers energy productivity at industrial scale.
Process load optimization and equipment monitoring for production facilities and factories.
HVAC and refrigeration optimization for distribution centers and cold storage facilities.
Cooling optimization and power usage effectiveness improvements for critical infrastructure.
Optimization for industrial process heat applications, a priority sector for energy efficiency.
Ambient Context integrates with your existing infrastructure without requiring system replacement.
Native integration with existing Building Management Systems through BACnet and Modbus protocols.
Centralized visibility and control across your entire building portfolio from a single dashboard.
Comprehensive energy productivity and operational reports for stakeholder communication.
RESTful API for integration with energy management systems, SCADA, and enterprise software.
Measurable energy productivity improvements that justify the investment.
Ready to optimize building energy use, enable demand response, and contribute to grid stability?