Predictive maintenance, digital twin building, and real-time IoT/SCADA integration — the asset-intelligence core of the platform.
Operators upload data or connect IoT sensors; AI matches them with service providers, parts vendors, or freelancers based on asset type, location, and urgency.
Connectors for historian and CMMS systems, scoped per deployment. Existing tools get AI recommendations layered on without migration.
Failure probability scores, remaining useful life (RUL), and maintenance windows. Visual trend analysis, alert thresholds, and per-asset drill-down.
Drag-and-drop twin creator for wells, rigs, and facilities — no heavy engineering software. Connect live data and simulate in-browser.
Rent or buy validated twins from a curated marketplace. Enterprise players list advanced, certified twins with performance SLAs.
Model pressure changes, degradation curves, and EOR strategies (water flood, gas injection, chemical). AI recommends highest-yield approach.