Intelligent HVAC Protection
Predict failures, detect faults, manage your fleet, and quantify savings. All from one platform built for commercial HVAC.
Predictive Maintenance Engine
Forecast HVAC failures 20 to 30 days before they happen using our multi-signal ensemble prediction engine.
Multiple independent prediction methods converge to produce high-confidence forecasts with near-zero false positives.
Get precise RUL estimates with 95% confidence intervals, so you know exactly when to schedule maintenance. For example, "~21 days remaining (CI: 9 to 47 days)."
Not just black-box ML. Our models incorporate thermodynamic principles like fouling resistance curves and UA decay to ground predictions in real equipment physics.
Predictive Maintenance Dashboard
AI Fault Detection and Diagnostics
Identify HVAC faults in real time with 95-99% accuracy. Know what failed, why it failed, and what to do about it.
Utilizing advanced time series machine learning algorithms and traditional FDD methods. Detects condenser fouling, refrigerant undercharge, evaporator fouling, economizer faults, and more.
Every fault detection comes with clear feature contributions so your technicians know exactly which sensor readings are driving the alert. No guesswork.
Anomaly scoring runs directly on local hardware for instant detection, even before cloud analysis. Zero false positives demonstrated to date.
Fault Detection Dashboard
Fleet-Wide HVAC Management
Monitor every HVAC unit across all your sites from a single dashboard. Health scores, prioritized alerts, and actionable insights at a glance.
Each piece of equipment gets a dynamic health score (0-100%) calculated from sensor readings, fault status, and degradation trends. Instantly spot the units that need attention.
Alerts are ranked by severity and urgency. Each alert includes a specific recommended action, so your team knows exactly what to do and in what order.
Integrate our platform with your existing service management software under your own brand. Manage all your client sites from one unified view.
Fleet Management Dashboard
Proven ROI and Cost Savings
Every predicted failure translates directly to dollars saved. Avoid emergency repairs, extend equipment life, and optimize maintenance budgets.
A single chiller condenser fouling event costs $12,000 to $18,000 in emergency repairs. Early intervention brings that down to $2,800 to $4,200. That is a net savings of $7,800 to $15,200 per event.
Emergency HVAC repairs come with rush labor, overnight shipping for parts, and potential tenant/occupant impact. Scheduled maintenance avoids all of these costs.
Catching degradation early and maintaining optimal operating conditions extends the useful life of your HVAC equipment by years, deferring costly capital replacements.
Cost Impact Analysis
Hardware That Connects in Minutes
Our sensors connect to any HVAC unit via BACnet/IP or Modbus in 15 minutes. No wiring, no downtime, no expensive hardware. Local detection runs on-prem without sending any data offsite, while advanced forecasting happens in the cloud.
- Low-cost sensor hardware, plug-and-play installation
- Tier 1: Runs locally on-prem without needing to send any data offsite
- Tier 2: Cloud-based advanced forecasting, trend analysis, and fleet-wide insights
How It Works
From installation to predictive insights in four simple steps. No complex wiring, no disruption to your operations.
Install
Mount our sensor on any HVAC unit in 15 minutes. No wiring, no downtime.
Connect
Automatically connects via BACnet or Modbus to your existing building systems.
Learn
Our AI learns normal operating patterns and builds physics-informed degradation models.
Alert
Get alerts 20 to 30 days before critical failures with specific repair recommendations.
Ready to stop HVAC failures before they start?
Built for HVAC service companies, system integrators, and data center operators. Deploying pilots at UC Santa Cruz, partnering with Lawrence Berkeley National Lab, and backed by Berkeley SkyDeck.
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