The system acts as a central nervous system for complex infrastructure, including data centers and industrial sites. Unlike legacy building automation—which relies on rigid, scripted black-box programming—this new approach provides a transparent AI architecture. By integrating physical constraints with real-time data, the software allows infrastructure to coordinate thousands of assets simultaneously, balancing energy efficiency with occupant comfort.

CEO Thomas Kiessling describes the shift as a transition from buildings being mere operational liabilities to functioning as active members of a workforce. Powered by NVIDIA technology, the platform generates dynamic control strategies based on how equipment behaves and how various assets interact within a space. While the current rollout focuses on Level 3, the company is already targeting a Level 4 deployment later this year, which aims to introduce edge-based learning and expanded predictive capabilities. This development marks a significant move in applying Physical AI to large-scale, mission-critical environments.