Funding
Funding not disclosed
Founders
Product
Problem
Natural gas compression operators often lack real-time visibility into fleet health, leading to unexpected equipment failures and costly unplanned downtime. Traditional maintenance relies on generic schedules or limited historical data, making it difficult to predict specific component failures for diverse makes and models.
Solution
EverSense offers a predictive monitoring platform that consolidates fleet-wide data, diagnostics, and maintenance planning into a single interface. The system draws on a 30‑year archive of over 25,000 field‑repair reports, enabling an intelligent engine to provide conversational diagnostics tailored to each unit’s make, model, and operating hours. When an issue is detected, the platform automatically generates a pre‑loaded investigation with the most likely failure patterns, allowing technicians to arrive with a scoped inspection plan. Prioritized action cards are compiled into an operations queue, grouping related repairs to optimize crew dispatch and reduce unnecessary trips. This data‑driven approach helps operators schedule targeted interventions, improve equipment availability, and lower maintenance costs.
Target Audience
Primary customers are operators and maintenance managers of natural gas compression fleets, including midstream energy companies and service contractors responsible for large, multi‑make compressor inventories.
Features
- Fleet overview dashboard with real‑time status and health indicators for every compressor
- Conversational diagnostics powered by five specialist agents that answer queries based on the archived repair data
- Automated investigations that preload the top candidate failure patterns for each flagged issue
- Action cards and operations queue that prioritize and bundle repairs across the fleet
- Integration of a 30‑year, structured archive of field‑service reports covering 30+ manufacturers and component-level failure histories
- Support for make, model, and operating‑hour specific recommendations, enabling precise predictive maintenance