DataRobot and Chevron Collaborate to Advance Agentic AI for Autonomous Inspections
June 2, 2026 — BOSTON — DataRobot, the agent workforce platform, today announced it is collaborating with Chevron U.S.A. Inc., a subsidiary of Chevron Corporation (NYSE: CVX), to apply agentic artificial intelligence at the edge to assist autonomous inspection operations at Chevron facilities. The collaboration supports Chevron’s Facilities and Operations of the Future initiative and focuses on improving how robotic missions are planned, assessed and executed within established operational standards using AI agents.
Chevron uses aerial and terrestrial robots worldwide to inspect and monitor equipment for abnormal conditions. Traditionally, each robotic mission requires operator verification of operating conditions through a permitting process, adding time and additional steps before work can begin.
“Agentic AI enables a shift from manually approving each mission to continuously assessing conditions in real time. Using the DataRobot Agent Workforce Platform, Chevron can deploy AI decision-making at the edge while maintaining requirements for security, reliability and governance,” said Debanjan Saha, CEO at DataRobot.
With DataRobot, Chevron is using advanced optimizing and reasoning agents to generate mission plans, leveraging NVIDIA’s underlying AI software and compute capabilities within Chevron’s digital and operational systems. Unlike point solutions built for a single task, the DataRobot Agent Workforce Platform connects specialized agents — from sensor-analysis models to geospatial reasoners — into a coordinated workflow that integrates with Chevron’s existing operational systems without requiring infrastructure replacement. This enables teams to evaluate advanced AI capabilities closer to where operations occur.
The approach applies a Safe Start agentic assessment, enabled through NVIDIA Inference Microservices (NIMS) within the DataRobot Agent Workforce Platform, to evaluate operating conditions before and during robotic missions. The system leverages existing hard-wired gas sensors, supplemental vision systems and AI models to assess conditions locally at the asset.
“In simple terms, this improves safety by reducing reliance on manual, point-in-time checks and validating conditions continuously while work is underway. It helps reduce exposure, apply safety standards consistently, and deploy robotics more efficiently across our operations,” said Cari Armpriester, Facilities and Operations of the Future program manager at Chevron.
By shifting the focus from robotics hardware certification to environmental condition assurance, the collaboration supports reduced intervention and more consistent deployment of robotic inspections, while maintaining oversight and control.
About DataRobot
DataRobot empowers AI teams to deliver the agentic workforce of the future. Our platform enables organizations to create and scale AI agents that integrate directly with business processes—driving efficiency, transforming operations, and delivering real results. With built-in governance and safeguards, we help enterprises deploy AI securely and confidently. For more information, visit our website and connect with us on LinkedIn.
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