PassiveLogic
Smart buildings software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if PassiveLogic and its alternatives fit your requirements.
Contact the product provider
Free Trial unavailableFree version unavailable
Small
Medium
Large
-
What is PassiveLogic
PassiveLogic is smart buildings software focused on autonomous building control using physics-based digital twins. It targets building owners, operators, and controls engineers who want to optimize HVAC and related building systems for energy, comfort, and operational performance. The platform emphasizes model-based control and automation workflows that can reduce reliance on manual tuning and rule-based sequences, depending on building system compatibility and deployment scope.
Physics-based digital twin control
The product centers on physics-based models of building systems to inform control decisions. This approach can support more explainable control behavior than purely black-box optimization when models are well-calibrated. It also aligns with use cases where operators need to understand why setpoints or sequences change. For complex HVAC systems, model-based control can be a practical alternative to extensive rule authoring and ongoing manual tuning.
Automation-first operations workflow
PassiveLogic positions the platform around autonomous control rather than only monitoring and dashboards. This can reduce operator workload for repetitive adjustments and schedule changes when automation is configured correctly. It supports use cases where continuous optimization is required across varying occupancy and weather conditions. Compared with tools that focus primarily on analytics, the emphasis is on closed-loop control outcomes.
Focus on HVAC optimization
The product is designed around HVAC and building mechanical system performance, which is often the largest controllable energy load in commercial buildings. This specialization can make it easier to map common HVAC equipment and control objectives into the platform. It can also support measurable operational goals such as reducing simultaneous heating/cooling and improving temperature stability. For organizations prioritizing energy and comfort, this focus can be a fit versus broader, less specialized building platforms.
Integration and retrofit complexity
Autonomous control typically requires reliable integration with existing building automation systems, controllers, and point naming/metadata. Older or highly customized BAS environments can increase deployment time and engineering effort. If required data points are missing or inconsistent, model calibration and control performance can be constrained. Organizations should plan for commissioning work and stakeholder coordination with controls contractors.
Model calibration dependency
Physics-based control depends on the quality of the underlying models and their calibration to real building behavior. Buildings with frequent equipment changes, deferred maintenance, or unstable sensor performance can require ongoing model updates. If calibration is incomplete, control recommendations may be conservative or require operator overrides. This can limit time-to-value compared with simpler monitoring-only deployments.
Not a full IWMS suite
PassiveLogic is primarily oriented to building systems control and optimization rather than end-to-end workplace, leasing, or facilities management workflows. Organizations seeking space management, visitor management, or broader CAFM/IWMS functions may need additional systems. Reporting and operational processes outside HVAC control may require integrations. Buyers should validate coverage for non-mechanical domains such as security, room booking, and tenant experience.
Seller details
PassiveLogic, Inc.
Private
https://passivelogic.com/
https://x.com/passivelogic
https://www.linkedin.com/company/passivelogic/
