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PassiveLogic
Autonomous building control powered by physics-informed AI
Platform for designing, deploying, and operating autonomous building systems using digital twins and generative AI to optimize energy efficiency and occupant comfort.
$125M+ (Series C: $74M in September 2025) raised 📈 Growth Stage
Founded 2016 • Aroundtown (major European real estate, M-DAX listed) and pilot customers across EU and North America
Why This Tool Exists
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The Problem
Buildings contribute 40% of global carbon emissions and operate inefficiently due to legacy control systems based on 1880s-1930s thermostat logic. Manual HVAC commissioning, system tuning, and maintenance require months of engineering work and result in suboptimal performance.
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The Solution
Physics-informed digital twins combined with generative AI enable autonomous real-time building control at the edge. PassiveLogic's platform automatically optimizes energy efficiency, comfort, and maintenance through predictive control that simulates millions of futures per second.
How You Use It
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Delivery Method
SaaS Hardware API
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Integrations
Quantum API (custom integrations) BIM integration via digital twins Hardware: Hive controller, Sense Nano sensors
Disciplines
MEP Engineering, Facility Management, Construction, Owner/Developer
Project Phases
Pre-Design, Construction Administration, Operations/FM
Project Types
Commercial, Mixed-Use, Institutional, Industrial, Healthcare
Data Transparency
Exactly what this tool uses and how
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Input
What it needs
Required: Building mechanical systems, Sensor data, Building envelope specifications
Optional: BIM models, Historical operational data, Occupancy patterns, Equipment specifications
Formats: IFC, Quantum digital twin format, Sensor data streams (real-time), LIDAR point clouds
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Output
What you get
Format: Real-time autonomous control decisions and building management dashboard
Fields: Autonomous control signals to mechanical systems, Energy consumption optimization, Occupant comfort metrics, Equipment maintenance alerts, Predictive maintenance recommendations, Carbon reduction tracking, ESG/EPBD compliance reporting
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Algorithm
How it works
Model: Physics-informed machine learning: Quantum digital twins fusing deep learning with physics-based simulation
Accuracy: Field deployments show 30% energy savings vs. conventional control systems; specific accuracy metrics not published
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Privacy
How your data is protected
Retention: Building operational data retained per project lifecycle; duration not publicly specified
Training: Not publicly specified whether operational building data is used for model training
Compliance: GDPR compliant (stated in privacy policy), NIST cybersecurity framework referenced, No published SOC 2 report found
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API
Integration
Endpoint:
Quantum API (details available for qualified partners)Method: Contact vendor for full API documentation
Use Cases
- • Autonomous HVAC control optimization for energy efficiency and comfort
- • Real-time building commissioning and fault detection
- • Multi-building portfolio management with ESG/EPBD compliance reporting
- • Predictive maintenance and equipment lifecycle management
- • Carbon reduction and energy monitoring for sustainability goals
- • Occupant comfort optimization with autonomous thermal control
- • Edge computing for critical infrastructure with minimal latency
Pricing
Free
Not publicly available
Pro
Contact vendor for SaaS platform pricing (hardware + software model)
Enterprise
Custom pricing based on building count, complexity, and integration scope
📚 Research Sources & Data Quality Last verified: 2026-02-01
Data Sources (17)
- 🔗 https://passivelogic.com
- 🔗 https://passivelogic.com/autonomous-buildings/
- 🔗 https://passivelogic.com/builder/
- 🔗 https://passivelogic.com/hive/
- 🔗 https://passivelogic.com/live/
- 🔗 https://passivelogic.com/portfolio/
- 🔗 https://passivelogic.com/hardware/
- 🔗 https://passivelogic.com/sense/
- 🔗 https://passivelogic.com/terms-of-use/
- 🔗 https://passivelogic.com/contact/
- 🔗 https://infosec.passivelogic.com/
- 🔗 https://www.prnewswire.com/news-releases/rewiring-autonomy-passivelogic-raises-74-million-to-scale-physical-ai-in-the-real-world-302559872.html
- 🔗 https://www.prnewswire.com/news-releases/autonomy-at-scale-passivelogic-and-aroundtown-partner-to-transform-european-real-estate-302576229.html
- 🔗 https://www.crunchbase.com/organization/passivelogic
- 🔗 https://github.com/PassiveLogic
- 🔗 https://www.automatedbuildings.com/news/feb21/articles/passivelogic/210127124501passivelogic.html
- 🔗 https://www.startup-energy-transition.com/set100-database/passivelogic/
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Verified Data (17)
vendor, website, fundingTotal, yearFounded, maturityStage, customerBase, problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, algorithm-approach, control-features, use-cases, privacy-gdpr-compliance, hardware-specifications
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Not Found (7)
api-endpoint-full-documentation, pricing-public-tiers, soc2-certification, data-training-policy-details, algorithm-accuracy-published-metrics, specific-customer-count, webhook-support
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.