Autonomous edge platform for building control and energy optimization
PassiveLogic builds autonomous control software for buildings, replacing traditional HVAC logic with real-time decision-making at the edge. The tech stack—heavy on simulation (MATLAB, Modelica, Dymola, Simscape) and edge deployment (Rust, C++, Embedded Linux, WebAssembly)—reflects a company solving physics-hard problems in real buildings. Active projects span software verification, digital twins, and deployment automation; hiring is engineering-driven (16 of 21 roles) with a seniority skew toward mid and senior engineers, indicating they're scaling past prototype into production operations.
Notable leadership hires: Operations Director
PassiveLogic develops autonomous building control platforms designed to replace legacy HVAC and automation systems. The company targets energy efficiency and operational cost reduction in commercial and institutional buildings through real-time edge-based control decisions. Founded in 2016 and based in Salt Lake City, PassiveLogic operates at 51–200 employees with active deployments and scaling operations across the United States and Netherlands. The product integrates multi-physics simulation, digital twin modeling, and autonomous decision-making to manage building systems without constant human oversight.
PassiveLogic uses Rust, C++, Python, and Embedded Linux for edge deployment; MATLAB, Modelica, Dymola, and Simscape for multi-physics simulation; TypeScript, Angular, and WebAssembly for frontend/UI; Neo4j, ArangoDB, and Weaviate for data layers; and Jenkins for CI/CD.
Current projects include software verification for autonomous building systems, CI/CD pipeline optimization, digital twin deployment, automated test framework development, and deployment strategy and operational scaling for autonomous platform rollouts.
PassiveLogic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.