SLB has launched Tela, an agentic AI assistant purpose-built to transform the upstream energy sector.
SLB has launched Tela, an agentic AI assistant purpose-built to transform the upstream energy sector.
Tela will be embedded in SLB’s portfolio of applications and platforms, and users will interact through a simple conversational interface.
Tela follows a common five-step agentic AI loop: observe, plan, generate, act and learn. This allows agents within Tela to proactively interact with their environment, adapt to new data, and continuously improve outcomes. Whether interpreting well logs, predicting drilling issues, or optimising equipment performance, Tela agents can work in collaboration with humans or autonomously to deliver faster, smarter decisions, said SLB.
‘Technology like Tela marks a paradigm shift in how AI supports the energy industry, from subsurface to operations,’ said Rakesh Jaggi, president, Digital and Integration, SLB. ‘Today, the industry faces a dual challenge: a leaner workforce and increased technical complexity, and Tela can address both. Tela doesn’t just automate tasks – it can understand goals, make decisions and take action.’
Powered by SLB’s Lumi data and AI platform, Tela uses agentic AI – leveraging large language models (LLMs) and domain foundation models (DFMs) – to understand domain-specific contexts, generate insights and adapt workflows in real time based on observed outcomes. Lumi’s agentic framework allows customers to build and manage their own Tela agents, integrate partner-developed solutions, and tailor capabilities to their operational priorities.
‘The real promise of agentic AI isn’t just faster workflows – it’s the ability to see the whole system, anticipate what’s next, and act with confidence, learning through the process and transforming workflows for better enterprise-level outcomes,’ said Jaggi.
