PassiveLogic Autonomous Building Platform

PassiveLogic develops physical AI software that lets buildings run themselves, issuing its announcements from Salt Lake City, Utah. It targets the limits of scripted, black-box building automation, where HVAC, energy and operations need constant manual tuning, and serves data centers, hospitals, office buildings and industrial campuses.

Its platform runs from a physics-based world model and reasoning agents down to autonomous control systems. The Hive decision engine runs on an on-site GPU cluster and uses physics-based digital twins to make real-time decisions for HVAC, energy use and logistics, supported by the Quantum Lens app that builds a digital twin with a smartphone and the wireless Sense Nano occupancy and environmental sensor. In July 2026 the company launched a Generative Autonomy Platform for Level 3 autonomy, powered by NVIDIA, with Level 4 targeted later in 2026.

• World model: Describes the building, equipment behavior and how actions cause outcomes.
• Hive decision engine: Runs real-time autonomous decisions on an on-site GPU cluster.
• Generative Autonomy: Coordinates building systems ahead of demand at Level 3 autonomy.
• Quantum Lens: Creates a building digital twin using a smartphone.
• Sense Nano: Collects wireless occupancy and environmental data.
• Operations analytics: Supports fault detection, predictive maintenance, asset tracking and energy management.

A data center operator in Vietnam can use autonomous control to balance cooling and energy across halls. A hospital can keep comfort and air conditions stable while reducing manual tuning. An industrial park developer can apply one autonomous platform across factories, offices and logistics buildings.

The platform co-manages comfort, energy, operations and emerging risks without constant tuning, reducing dependence on scarce controls engineers. Its deterministic, traceable white-box AI lets operators audit why each control action was taken. Predicting demand from a physics model allows systems to adjust ahead of occupancy and weather, supporting lower energy use and emissions.

Building automation is moving from rule-based BMS toward AI that plans and acts on its own, driven by energy prices, decarbonization rules such as the EU EPBD and a shortage of controls engineers. Data centers and industrial campuses expanding in Southeast Asia, including Vietnam, face rising cooling loads where autonomous control can matter.

Raised a USD 74 million Series C in September 2025 led by noa, with Prologis Ventures, Johnson Controls and PSP Growth joining existing investors Addition, NVentures (NVIDIA), Keyframe and Brookfield; total funding exceeds USD 125 million. Thomas Kiessling, former CTO of Siemens Smart Infrastructure, became CEO in July 2026. Founding year not stated on pages fetched.