Sentinel Lift is a vendor-agnostic, cloud-based AI platform designed to predict Electric Submersible Pump (ESP) failures ahead of traditional alarm thresholds, enabling operators to take proactive action and reduce unplanned downtime.
The platform integrates with existing ESP and SCADA systems across all major vendors, providing a unified layer of predictive analytics without requiring hardware changes or system replacement. Sentinel Lift focuses on identifying early failure patterns, delivering risk-based insights, and guiding operators with practical, actionable recommendations.
Unlike conventional monitoring tools that rely on reactive alarms, Sentinel Lift is built to detect emerging issues in advance, helping operators extend run life, improve production stability, and reduce intervention costs. The system is designed to operate across multi-vendor environments, making it suitable for operators and service companies managing diverse asset portfolios.
Initial deployment is focused on pilot wells in West Texas, with a scalable architecture that supports expansion across larger field operations and multiple customers. The product is being developed with a strong emphasis on real-world field usability, clear decision support, and measurable operational impact.
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