PassiveLogic

High-Level Overview

PassiveLogic is a technology company pioneering generative autonomy for the built environment through physics-informed AI and digital twins, enabling autonomous control of buildings and physical infrastructure. It builds an ecosystem of software and hardware tools—including the flagship Hive platform, Sense Nano wireless sensors, and Quantum Lens mobile app—to design, operate, and optimize complex systems like HVAC, energy management, and environmental controls[1][2][3][4]. Serving building owners, managers, developers, and operators in sectors from data centers and hospitals to office towers and industrial campuses, PassiveLogic solves longstanding issues in building automation: outdated, static rules-based systems that waste energy (buildings account for ~40% of global consumption), deliver suboptimal comfort, and hinder sustainability[1][4][5]. The company has raised $85M total ($16M Series A, $34M Series B, $35M other, plus a $74M Series C in 2025), fueling growth in physical AI applications like predictive maintenance, fault detection, and real-time adaptive control[3][4].

Origin Story

PassiveLogic was founded by Troy Harvey, a former CEO of an energy engineering firm specializing in sustainable, high-performance homes. Harvey identified a core problem: contractors lacked resources to implement advanced building controls typically requiring full engineering teams, leading to suboptimal energy performance and comfort despite strong designs[4][7]. Drawing from robotic theory—viewing buildings as "the world’s most complex robots"—he created the first platform for generalized autonomy, starting with HVAC systems as the universal building need[4][5][7]. Launched to tackle buildings' massive energy footprint and pave the way for smart cities, early traction came from reinventing automation with real-time, edge-based decisions over legacy logic, attracting top investors and talent[4][6].

Core Differentiators

PassiveLogic stands out in building automation by fusing deep learning with physics for generative AI, moving beyond static sequences to dynamic, real-time intelligence:

• Autonomous "Robot-of-Robots" Platform: Orchestrates entire environments (sensors, IoT, energy systems) with Quantum digital twins, self-assembling models, and the world's fastest AI compiler for millisecond decisions, predictive pathfinding, and simulations of millions of futures per second[1][2][3].
• Comprehensive Ecosystem: Hive for physics-based control; Sense Nano for real-time occupancy/environmental data; Quantum Lens for smartphone-based digital twins; plus tools like Quantum Passport for user comfort preferences—seamless across new builds and retrofits[1][2][3].
• Accessibility and Scalability: Enables non-experts to design custom AI agents via generative tools for 3D modeling, controls diagrams, and wiring; supports universal collaboration with a single digital twin as the source of truth[1][4][5].
• Sustainability Edge: Delivers energy optimization, ESG compliance reporting, proactive fault detection, and adaptive controls, addressing 40% global energy use with modular hardware/software[1][4][5].

Role in the Broader Tech Landscape

PassiveLogic rides the physical AI wave, extending generative AI from language models to real-world infrastructure amid rising industrial robotics, humanoids, and decarbonization demands. Timing aligns with global sustainability mandates and buildings' outsized energy role, amplified by advances in edge computing and IoT for scalable autonomy[2][3][5]. Market forces like escalating energy costs, ESG regulations, and smart city initiatives favor its physics-informed approach over rigid legacy systems, enabling broader impact in connected ecosystems[1][4][6]. By standardizing Quantum for data and workflows, it influences the industry toward collaborative, AI-native design—democratizing tools once limited to specialists and accelerating net-zero transitions[1][5][7].

Quick Take & Future Outlook

PassiveLogic is positioned to dominate autonomous infrastructure as physical AI matures, with its $74M Series C scaling the "robot-of-robots" for data centers, campuses, and beyond buildings into cities and industries. Trends like AI agents, humanoid integration, and real-time twins will amplify its edge, potentially redefining 40% of global energy use through universal adoption. Its influence may evolve from building disruptor to foundational platform for infrastructural robots, empowering widespread generative autonomy. This builds on its core mission: making intelligent, sustainable control accessible to all, transforming static structures into dynamic, efficient ecosystems[2][3][5].