SLB (NYSE: SLB) announced a memorandum of understanding with Qualcomm Technologies Inc. to develop edge artificial intelligence solutions for energy industry operations.

The collaboration combines Qualcomm Technologies' low-power edge computing and AI processing capabilities with SLB's Agora edge AI and IoT solutions designed for remote energy environments. The partnership aims to enable real-time operational decision-making across wells, facilities and production systems.

"Together, SLB and Qualcomm Technologies aim to help operators apply AI more effectively across energy infrastructure," said Rakesh Jaggi, president of Digital at SLB. "Many energy operations rely on real-time decision-making in remote environments where connectivity and responsiveness directly affect performance."

The companies stated that energy operators are adopting automation and autonomous workflows across production environments, creating demand for AI systems that can operate closer to operations rather than relying on centralized systems. The collaboration targets remote energy infrastructure where connectivity, latency and operational continuity present challenges.

Nakul Duggal, executive vice president and group general manager of Automotive, Industrial and Embedded IoT, and Robotics at Qualcomm Technologies, noted that industrial environments require AI systems capable of operating with limited power and constrained connectivity while meeting real-time operational demands.

The companies plan to focus on enabling AI applications across production operations using SLB's digital production solutions and energy domain expertise combined with Qualcomm Technologies' low-power edge computing capabilities. The collaboration is expected to help operators modernize legacy operational environments while strengthening cybersecurity across operational technology layers.