Built for the Floor, Not the Notebook
Flare AI doesn't ship a Python notebook to your data team. It ships an interface to your operators. Plain-language insights, surfaced where work happens — on the line, in the control room, on the maintenance handheld.
Anomaly Detection That Actually Calls You
Flare watches every signal you stream into EmberNet — temperatures, pressures, vibration, cycle times — and flags drift before it becomes a defect, a shutdown, or a safety event. Tuned to OT noise, not academic datasets.
Plain-Language Insights
"Spindle 3 vibration trending up over the last 6 shifts — likely bearing wear, recommend inspection by end of week."
Not a chart. An answer. The kind of recommendation a senior operator would make if they were watching every tag, every shift.
Native to EmberNet
No separate platform, no API integration project, no extra licensing. Flare AI is part of the stack — turn it on, point it at your tags, get answers. Anomalies surface in the same EmberNet dashboard your operators already use.