SLB unveils groundbreaking new agentic AI technology for the energy industry

GO DIGITAL ENERGY

SLB unveils groundbreaking new agentic AI technology for the energy industry

Global energy technology leader SLB has introduced Tela™, an innovative AI assistant designed specifically to revolutionize the upstream energy sector. Tela harnesses agentic AI to not only automate tasks but also transform workflows and enhance business outcomes.

Source: SLB

This assistant will be integrated into SLB’s suite of applications and platforms, allowing users to engage through an easy-to-use conversational interface. This strategy enables agentic AI to function as a proactive collaborator, boosting workforce productivity and efficiency on a larger scale.

Technology like Tela marks a paradigm shift in how AI supports the energy industry, from subsurface to operations. 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. It’s the convergence of 100 years of domain science and cutting-edge digital technology, amplifying human ingenuity and redefining how work gets done.

Rakesh Jaggi, President, Digital and Integration, SLB

Tela operates on a structured five-step agentic AI loop: observe, plan, generate, act, and learn. This framework empowers Tela agents to actively interact with their environment, adjust to new information, and continuously enhance results. Whether it’s interpreting well logs, forecasting drilling challenges, or optimizing equipment performance, Tela agents can collaborate with humans or operate independently to facilitate quicker and more informed decision-making.

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. For oil and gas, that means leading the way in energy innovation, driving smarter decisions, and actively shaping the future of the industry.

Rakesh Jaggi, President, Digital and Integration, SLB

Specifically designed for the energy industry and backed by SLB’s Lumi™ data and AI platform, Tela utilizes agentic AI—incorporating large language models (LLMs) and domain foundation models (DFMs)—to comprehend industry-specific contexts, produce valuable insights, and adapt workflows in real-time based on observed outcomes. Lumi’s agentic framework enables customers to create and manage their own Tela agents, integrate solutions developed by partners, and customize capabilities to align with their operational priorities.

Relevant news

GO CIRCULAR
Smart sorting: Netherlands supports AI to revolutionize plastic recycling
The Dutch Ministry of Climate and Green Growth is funding a project by Eindhoven University of Technology and start-up Exergy to enhance solvent-based plastic recycling using AI.
GO DIGITAL ENERGY
Infosys and AWS team up to supercharge enterprise generative AI
Infosys has partnered with Amazon Web Services (AWS) to promote the enterprise adoption of generative artificial intelligence.
GO DIGITAL ENERGY
AI implementation delivers $130 million boost to Equinor’s 2025 bottom line
Artificial intelligence is projected to generate USD 130 million in value and savings for Equinor and its partners by 2025.
GO DIGITAL ENERGY
SLB and Shell collaborate to accelerate development of digital and AI solutions for upstream operations
SLB has partnered with Shell to enhance performance and efficiency in upstream operations through advanced digital and artificial intelligence solutions.
GO CIRCULAR
High-precision AI sorting system accelerates plastics-recycling processes
RTT System GmbH, its first AI-enhanced platform for high-precision sorting of materials that traditional methods can't handle.
GO DIGITAL ENERGY
Industrial AI: Google cloud teams with Avathon for energy sector
Google Cloud and Avathon are collaborating to develop the Autonomy Platform for the industrial AI sector.