Physics-based autonomous control platform for building HVAC and energy systems
PassiveLogic builds autonomous building-control software using physics simulation (Modelica, Dymola, Simscape, MATLAB) and edge-deployed neural reasoning (Neo4j, Weaviate, WebAssembly). The stack reveals a company translating domain expertise in thermodynamics and fluid dynamics into learned control policies — not traditional rule-based automation. Engineering dominates hiring (19 of 27 active roles), with mid- and senior-level concentration, indicating active scaling of control-algorithm development and digital-twin generation rather than sales-led expansion.
PassiveLogic develops autonomous software for building HVAC and energy-management systems, deployed at the edge to make real-time control decisions without centralized supervision. The platform replaces legacy control logic with physics-informed learning, targeting reduction in building-sector energy consumption and carbon emissions. Founded in 2016 and headquartered in Salt Lake City, the company operates across the United States and Netherlands. Current focus spans HVAC diagnostics, digital-twin generation via quantum-assisted modeling, building-control verification pipelines, and wireless-communication infrastructure for distributed sensor networks.
Core stack: Modelica, Dymola, Simscape, MATLAB for physics simulation; Neo4j, Weaviate, ArangoDB for graph reasoning; Python backend; TypeScript/Angular/WebGL frontend; Rust and C++ for edge compute; WebAssembly and Linux deployment.
HVAC control diagnostics, digital-twin generation, Hive system deployment, physics-based model interfaces, building-control verification pipelines, compute engines, and wireless communications for autonomous building systems.
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