CoolEdge AI is an autonomous HVAC monitoring agent that watches your data center's thermal systems 24/7, predicts chiller and cooling failures before they happen, and schedules maintenance — so operators stop reacting and start preventing.
Most monitoring tools show you what already happened. CoolEdge AI predicts what will happen — and acts.
Connects to your BMS sensor network and tracks temperature, humidity, airflow, and IT load across every rack row — 24/7, no gaps.
ML models analyze vibration, flow, and thermal signatures to flag chiller, CRAH, and CDU degradation weeks before failure — with failure probability scores.
When risk threshold is crossed, CoolEdge AI generates structured maintenance work orders with suggested service windows — timed to avoid peak IT load.
Tracks your Power Usage Effectiveness over time, correlates cooling waste with equipment performance, and surfaces efficiency opportunities continuously.
Works with your existing Building Management System — BACnet, Modbus, or cloud-connected IoT sensors. No rip-and-replace required. Integrates into your current ops stack.
Data centers run on precision. When a chiller fails silently and the thermal alarm fires, operators spend hours in triage, thousands in emergency service rates, and face cascading risk across the facility.
CoolEdge AI was built for the mechanical contractor who wants to own that relationship — not just respond to alarms, but eliminate them. Because the best service contract is the one where nothing ever breaks.
CoolEdge AI integrates with your existing sensor infrastructure — no new hardware required. First data ingestion in under 48 hours.
ML models build thermal baselines specific to your facility — equipment age, workload patterns, ambient conditions. After 30 days, prediction accuracy hits production levels.
Alerts surface with structured work orders. Escalations trigger only when AI confidence crosses threshold. Operators see exactly why the AI flagged something — and exactly what to do about it.
Every data center operator needs someone watching the cooling system around the clock. That someone shouldn't be an on-call technician who finds out about failures reactively. That someone should be an AI agent — working for you, reporting to your clients, earning the trust that keeps service contracts renewing.