Bridging Research and Reality

At Wattnest, we bring research-grade HVAC fault detection and predictive maintenance from the lab to commercial HVAC service companies. Our mission is to make every service truck smarter, every technician faster, and every building safer.

The Challenge We're Solving

Commercial HVAC systems are the backbone of building operations, yet the industry still relies on reactive maintenance that costs more, wastes energy, and disrupts tenants.

  • HVAC systems account for 40% of commercial building energy use, making efficiency critical
  • 85% of HVAC equipment failures are preventable with early detection
  • Reactive maintenance costs 3 to 9 times more than predictive maintenance
  • Unplanned HVAC downtime costs $2,000 to $10,000+ per hour for data centers
  • Current monitoring relies on manual inspections and scheduled maintenance that misses developing faults
Reactive vs Predictive Maintenance Cost per Chiller Event $18k $15k $12k $9k $6k $3k $0 $12k to $18k $2.8k to $4.2k Reactive Unplanned Repair Predictive Early Intervention Savings per event $7,800 to $15,200

Based on WattNest chiller condenser fouling analysis

W Company Fleet Dashboard Synced 5s ago UNITS 4 AVG HEALTH 71.8% ACTIVE ALERTS 2 FALSE POSITIVES 0 CH Chiller-01 York YK Centrifugal FAULT Condenser Fouling 94.2% TCA 7.8 TCO 101 kW 198 Health 34% RUL ~21 days R1 RTU-01 Carrier 48TC WARNING Refrigerant Undercharge 72.8% SUCT 97 DISC 312 Health 68% Trending R2 RTU-02 Lennox KGA NORMAL No Faults Detected 98.7% DMP 42% OAT 72 SAT 55 Health 94% All Clear AH AHU-01 Trane M-Series NORMAL No Faults Detected 99.1% SAT 55 OAT 71 MAT 64 Health 91% All Clear

WattNest fleet monitoring dashboard with real-time health scores

Our Solution: AI That Predicts HVAC Failures Before They Happen

Utilizing advanced time-series machine learning algorithms and traditional fault detection methods, our platform delivers:

  • 95 to 99% fault detection accuracy using ML-powered classifiers validated on industry-standard benchmark data
  • 20 to 30 days advance warning before critical failures, powered by a 5-signal ensemble prediction engine
  • Physics-informed degradation models grounded in thermodynamic principles, not just black-box ML
  • Low-cost edge sensor hardware with a lightweight ML model that installs in 15 minutes
  • White-label ready for HVAC service companies to offer as their own predictive maintenance platform

Current Partnerships + Pilots

Trusted by leading research institutions

Our Team

The people behind Wattnest

Ready to Prevent HVAC Failures Before They Happen?

Whether you're an HVAC service company, facility operator, or data center manager, we'd love to show you what predictive maintenance can do.

Get in Touch