Intelligent Core Launches AI Platform to Automate Produced Water Logistics & Cut CostsIntelligent Core, the industrial AI company that combines ...
Published on by Water Network Research, Official research team of The Water Network
Intelligent Core, the industrial AI company that combines predictive and agentic AI with integrated sensing hardware, announced the launch of CORE Flow, an autonomous platform that plugs directly into existing control systems to predict leaks, route water, and cut logistics costs. Initially deploying across the Permian and Delaware basins, the CORE Flow connects to existing SCADA, IoT, and control systems to reduce cost, risk, and manual work for upstream and midstream operators.
The platform is built to run in the cloud, on-premises, or at the edge so operators can start with focused use cases—such as routing and treatment decisions—and expand as value is demonstrated.
“Heavy-industry AI has spent too long trapped in presentations instead of transforming field operations,” said Tom Greenlees, CEO of Intelligent Core. “Operators don’t need more dashboards, they need predictions and automation that works with the systems, constraints, and realities of how produced water is actually managed. Intelligent Core was built to deliver that by combining predictive and agentic AI with the next evolution of industrial-grade hardware so operators can achieve measurable ROI quickly and safely.”
Turning produced water into a managed system
Produced water volumes have doubled over the past decade, with larger operators spending upwards of $200 million annually on managing it. To ensure safety and compliance with regulations, many companies rely on conservative over-trucking, over-treating, and over-disposing water, often with limited real-time visibility into what is happening across their networks.
“Intelligent Core’s predictive platform has tightened our logistics, improved forecasting accuracy, and delivered clear commercial savings across our produced-water operations,” said Raymon Jones, partner at EOS. “Just as importantly, they rolled it out with a structured, low-disruption approach that complemented our existing workflows and was clearly designed for scale.”
CORE Flow is designed to automate decisions that are still handled by spreadsheets, phone calls, and manual rules. Predictive models forecast water quality, equipment failures, leaks, and bottlenecks across the produced water network. Agentic AI then works within operator-defined constraints to adjust flows, route water, and tune treatment and disposal strategies.
The company’s commercial model is aligned with operator budgets: a pay-per-use automation engine paired with subscription visualization, avoiding large up-front license commitments.
“Operators across West Texas and New Mexico tell us they’re still relying on intuition and static reports to manage multi-million-dollar water and logistics systems,” said Adam Gilles, COO at Intelligent Core. “Our goal in the first 90 days of a deployment is straightforward: fewer truck rolls, fewer surprises, and a clearer picture of where money and risk are hiding. If you’re running fields, produced water systems, or chemical fleets and you can’t staff or see everything, this is built for you.”
Attached link
https://aithority.com/machine-learning/intelligent-core-launches-ai-platform-to-automate-produced-water-logistics-cut-costsTaxonomy
- Produced Water
- Intelligent Networks
- Water Treatment Systems
- Delaware, United States
- artificial intelligence
- Water, Waste Water Chemical & Treatment
- water treatment operator