(WO) — SLB and AIQ, the Abu Dhabi-based artificial intelligence firm focused on the energy sector, are expanding their partnership to develop and deploy AIQ’s ENERGYai agentic AI solution across ADNOC’s subsurface operations.
ENERGYai combines large language models (LLMs) with agentic AI trained for specific upstream workflows. In a test environment using 15% of ADNOC’s data from two oil fields, a seismic agent powered by the platform achieved a 10x increase in interpretation speed and a 70% gain in precision.
The companies will co-design and implement new agentic AI workflows focused on geology, seismic exploration, and reservoir modeling. These efforts will be supported by SLB’s Lumi™ data and AI platform, which enhances data access, streamlines workflows, and scales AI capabilities across operations.
Deployment of a scalable version of ENERGYai, including multiple AI agents for subsurface tasks, is expected to begin in Q4 2025.
“This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook,” said Dennis Jol, CEO of AIQ. “The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle. Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution.”
SLB echoed the platform’s transformational potential.
“Our collaborations with AIQ have already delivered innovative solutions, and now we are supporting the building of the foundation for the next era of intelligent energy operations together with AIQ’s ENERGYai,” said Rakesh Jaggi, president, Digital & Integration at SLB. “This agentic AI solution is set to drive long-term value and operational resilience across ADNOC’s energy value chain.”
The companies say ENERGYai will automate complex, high-impact tasks, improve decision-making, and help optimize production across ADNOC’s upstream operations.
