Real-time energy monitoring at the panel AI fault detection equipment health
scoring Predictive maintenance demand forecasting
Three views
Core capabilities
Live data from breakers, meters, and sensors aggregated via Edge Gateway. Health scores, load, and status updated continuously – no manual polling, no blind spots between scans.
ONNX ML models running locally catch subtle drift – cooling efficiency loss, trip count trends, battery degradation – before threshold rules would fire. Every device gets a continuous health score, not a binary alarm.
Alerts classified by severity with full context – site, zone, device, symptom, suggested action. No alert storms. Incidents tracked from detection through resolution, generating the MTTD and MTTR metrics leaders actually need.
Edge AI forecasts demand spikes hours ahead – triggering pre-cool schedules, non-critical load shedding within policy guardrails, and compressor staging recommendations. Lower peaks, lower bills, calmer operations.
What we connect to.
Vertical deployments
ONNX ML · rules engine · severity classify · instant alert routing
Local TS buffer · sequence IDs · automatic backfill on reconnect
Modbus · BACnet · SNMP · OPC-UA · OEM adapter plugins
OCI containers · x86 · ARM · Kubernetes · fanless IPC
Where these capabilities apply
Connect With us
Tell us your device inventory, site count, and current monitoring gaps.
We’ll show you what visibility actually looks like.