The Willow Knowledge Graph is built on the world's largest ontology for the built world, a comprehensive, ontology-based model that maps every asset, system, and location and the relationships between them. When Willow connects to your operational systems, every entity is added to the Knowledge Graph as a digital twin, creating a structured, relational model that grows more intelligent over time. As more data flows in, the Knowledge Graph unlocks deeper insights, more accurate predictions, and increasingly automated decision-making at scale.
Willow Copilot is your AI companion for the built world, built for every level of your organization from field technicians to CIOs and CFOs. Powered by a large language model grounded in your organization's Knowledge Graph, Willow Copilot understands the specific assets, systems, and relationships inside your buildings. Executives use it to accelerate capital planning and surface the highest-impact savings opportunities across a portfolio. Technicians and operators use it to decode fault codes, surface O&M documentation instantly, and summarize work order resolutions in the field.
Active Control is Willow's autonomous execution layer, closing the loop between insight and action. When an anomaly is detected, Active Control responds in real time: adjusting setpoints, closing valves, shifting energy loads to off-peak hours, optimizing battery energy storage charge and discharge cycles, and automatically generating and routing work orders. It operates across a full autonomy spectrum, from human-assisted to fully autonomous, based on real-world operational constraints and priorities.
Willow Skills encode domain expertise directly into the platform, capturing facility-specific knowledge, best practices, and operational logic so it can be applied continuously at scale. As Skills run against live data, they become more intelligent over time, reducing the need for human intervention and preserving institutional knowledge as experienced staff retire.