AI that watches power, cooling, and compute — correlates events across systems, predicts failures, and tells you exactly what to fix.
Rack spikes → CRAC ramps → chiller loads → utility costs. One incident, one story — not 15 separate alerts.
ML learns your facility's patterns by device, hour, and season. Catches drift your static thresholds never will.
"Raise setpoint 4°F, save $38K/year." Specific actions with specific dollar amounts — not vague suggestions.
SNMP, Modbus, BACnet, REST, MQTT. If your gear has a network port, we read it — vendor doesn't matter.
"What caused the Zone B spike last Tuesday?" Natural language over your entire operational history.
Dark UI. Sub-second refresh. Mobile-first. Built by someone who's been woken up by temperature alarms.
One lightweight agent on any Linux box. Auto-discovers every SNMP device on your network.
PDUs, UPS, CRACs, sensors — all normalized into a unified model. Survives WAN outages.
ML baselines build in hours. First anomaly correlations and cost savings within days.
| PowerPoll | Schneider | Nlyte | Sunbird | Vigilent | |
|---|---|---|---|---|---|
| ML anomaly detection | ✅ | — | — | — | ✅ * |
| Event correlation | ✅ | — | — | — | — |
| Natural language | ✅ | — | — | — | — |
| Modern UI | ✅ | — | — | ~ | — |
| Multi-vendor | ✅ | ~ | ✅ | ✅ | ~ |
| Self-service deploy | ✅ | — | — | ~ | — |
| Time to value | Hours | Months | Months | Weeks | Weeks |
* Vigilent: cooling only — no power, compute, or cross-system correlation
Launching Q2 2026. Join for priority access and design partner pricing.