K-12 · Government · Universities · South Florida

Cut your school district's energy bill without touching the infrastructure.

Active pilot discussion with Miami-Dade Public Schools.

ClimateEdge AI overlays machine learning on your existing building management system. No rip-and-replace. No construction. Predictive load scheduling, occupancy-aware HVAC, and FPL demand response automation — 20 to 30% energy reduction per facility.

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Photo: School Building / HVAC Equipment
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The Opportunity

K-12 schools spend millions on energy. Most of it is waste.

The average school district spends $0.50 per square foot on energy annually. For Miami-Dade Public Schools — one of the largest districts in the US — that is tens of millions of dollars per year. A meaningful fraction of that waste is predictable and preventable with machine learning.

ClimateEdge AI overlays machine learning on your existing BMS/EMS infrastructure without replacing it. We add intelligence on top of what you already have. Non-invasive, non-disruptive, and 20–30% energy reduction per facility.

Active pilot discussion with M-DCPS
Miami-Dade Public Schools — one of the largest K-12 districts in the United States. Active engagement for a multi-facility pilot.
No rip-and-replace
ClimateEdge reads your existing BACnet/Modbus EMS. No capital project. No construction. No disruption to the school day.
FPL demand response built-in
Automatically participates in FPL demand response programs. Load-shed non-critical systems during peak windows. Savings start month one.
What ClimateEdge Does

Four AI capabilities. One platform.

Predictive Load Scheduling
ML model predicts occupancy and weather to pre-cool or pre-heat before school hours. Avoids demand spikes during peak FPL windows. Reduces runtime during unoccupied periods.
Occupancy-Aware HVAC Optimization
mmWave occupancy sensors (no cameras) in classrooms, cafeterias, and gyms. HVAC adjusts in real time based on actual presence, not scheduled bells.
Equipment Health Monitoring
Monitors AHUs, chillers, cooling towers, and pumps. Detects bearing wear, coil fouling, refrigerant issues. Predicts failures and generates maintenance work orders.
FPL Demand Response Automation
Automatically responds to FPL demand response events. Sheds non-critical loads, adjusts setpoints, pre-cools before events. No manual intervention required.
Technical Specs

Open standards. Works with your existing EMS.

Edge HardwareNVIDIA Jetson Orin NX per facility
BMS ProtocolsBACnet/IP · BACnet MS/TP · Modbus TCP · Modbus RTU
OccupancymmWave radar sensors — no cameras, FERPA compliant
AI / MLLSTM load forecasting · Isolation Forest anomaly detection · Regression trending
DashboardFacility manager web portal · District-wide overview · Mobile app
ReportingMonthly energy reports · ENERGY STAR data · FPL demand response logs
ConnectivityEthernet primary · 4G LTE backup · Tailscale VPN
InstallationNon-invasive · No construction · Typically 1 day per facility
Compatible Systems
Johnson Controls MetasysSiemens Desigo CCTrane TracerCarrier i-VuAutomated Logic WebCTRLHoneywell EBIDelta ControlsGeneric BACnetGeneric Modbus
Compliance
FERPA CompliantENERGY STAR ReadyFPL Demand ResponseNo PII collectionEdge-first — data stays on-site
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School HVAC Photo
AHU, chiller, or BACnet controller panel
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Dashboard Screenshot
Multi-facility energy overview
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Site Installation
Edge node in mechanical room

Ready to reduce your district's energy costs?

Start with a single facility pilot. We instrument one building, prove the savings, and expand from there. Fixed-price pilot scope delivered in 90 days.

Schedule a Site Review → ⚡ Live Demo