Maintenance Intelligence for Oil & Energy Plants.
The plants that process hydrocarbons are drowning in sensor data.
Every critical asset streams pressure, temperature, vibration, and flow data into historians nobody can fully leverage. Plants still run maintenance on calendars and tribal knowledge. The result: over $1M per day in unplanned downtime, parts that arrive weeks after failures are predicted, and institutional knowledge that walks out the door when a senior reliability engineer retires.
We believe every asset should have its own brain. Not a plant-wide black-box model — asset-level reasoning. The compressor learns what a healthy compressor looks like. The exchanger learns its own fouling signature. Every wrench turn makes the model sharper, and that intelligence compounds across the fleet.
From raw signal to sharper model, start to finish.
One continuous loop per asset. Field data flows back into the model. Every repair makes the next prediction sharper.
Plug into the plant's existing DCS, SCADA, PLCs, and historians — PI, Aspen IP.21, Honeywell PHD. No rip-and-replace.
Raw process signals stream in per asset: pressure, temperature, vibration, flow, amperage, valve positions.
Every critical asset gets its own intelligence. Asset-level reasoning, not plant averages.
The asset flags degradation early with time-to-failure estimates and confidence intervals.
Predictions auto-check inventory and kick off procurement for missing parts.
The system proposes a work order at the optimal window, considering parts ETA and plant operating schedule.
The Field App delivers the work order with asset history, predicted failure mode, and repair procedure.
Technicians log what they actually found. Field data flows back into the asset's model. The next prediction is sharper.
Built for the plants that process hydrocarbons.
Active across downstream and midstream. Same asset DNA, same sales motion, adjacent customer base.
