Physics-Informed AI for Building Control
Combining deep physical understanding with cutting-edge machine learning to create digital twins that optimize HVAC, lighting, and energy systems in real-time.
Real-Time BMS Optimization
Integrate directly with building management systems. Our AI models process IoT sensor streams in real-time to optimize HVAC, lighting, and thermal control for maximum efficiency.
Physics-Constrained Neural Networks
Our models respect fundamental physical laws—energy conservation, fluid dynamics, thermodynamics— ensuring predictions are always physically plausible and accurate.
Analysis-in-the-Loop Design
Transform weeks of simulation into seconds. Explore thousands of design variations during the design process, not after construction when changes are costly.
Continuous Learning System
Models improve over time by learning from building performance data, weather patterns, and occupancy trends—becoming more accurate and efficient with every deployment.
