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EPAM and TGS Announce Strategic Collaboration to Accelerate AI Adoption at Scale in Energy Sector

(PRNewsfoto/EPAM Systems, Inc.)

Energy companies gain faster decision making and competitive advantage through integrated, barrier-free workflows

EPAM Systems, Inc., a leading digital and AI transformation company, with TGS, a leading provider of energy data and intelligence, announced the successful deployment of TGS Imaging AnyWare® on Amazon Web Services (AWS). TGS has begun the migration of its imaging systems to AWS Cloud to leverage the agility, cost and performance benefits of elastic cloud infrastructure. The next-generation platform enables select seismic imaging workflows to run much faster with lower computing costs, improving service delivery to energy companies. This milestone advances the Companies’ ongoing work to optimize and AI-enable workflows across the energy sector.

Energy companies face mounting pressure to extract value from subsurface data faster and more cost-effectively than ever before. The technical barriers are significant: managing petabyte-scale seismic datasets, running deeply parallel imaging and interpretation workloads efficiently and scaling computational capacity without locking capital into infrastructure that can’t flex with project demands. Traditional, on-premises systems struggle to meet these requirements, creating bottlenecks that delay critical exploration and production decisions. TGS has now brought a modernized platform into production that addresses these challenges directly, built in collaboration with EPAM, on AWS, to deliver integrated, cloud-native workflows at scale.

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“True digital transformation in energy requires partners who understand both the technical complexity and the operational realities of the sector,” said Jason Harman, SVP, Head of Business ME & APAC, Energy at EPAM. “Our collaboration with TGS on AWS aims to deliver capabilities that weren’t economically or technically feasible before — enabling energy companies to extract more value from subsurface data, faster and at scale.”

The collaboration delivers three core capabilities that modernize subsurface operations:

  1. Subsurface Data as a Service – TGS Data Verse delivers centralized, secure and democratized access to seismic and well data through an OSDU-compliant, EPAM-engineered streaming architecture — enabling in-browser visualization and on-demand delivery that accelerates exploration and production decision-making.

  2. Cloud-Native Seismic Imaging at Scale – TGS Imaging AnyWare, modernized by EPAM on AWS, will deliver benchmarked performance gains on select seismic imaging workflows through AWS Graviton-based instances and cost reductions vs on-demand pricing using AWS Spot generic instances.

  3. Composable Workflows and AI Enablement – EPAM’s Energy HPC Orchestrator (EHO), built on AWS cloud infrastructure, enables modular, end-to-end subsurface workflows, with TGS shaping next-generation capabilities.

“TGS has a bold vision for the future of seismic imaging, and AWS is providing the elastic compute, AI services and purpose-built infrastructure to help make it a reality,” said Joseph Santamaria, General Manager, Energy & Utilities at AWS. “Together with EPAM, we’re helping TGS move energy operators from data to discovery faster and more cost-effectively than ever before.”

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EPAM’s migration of TGS Imaging AnyWare to AWS represents a broader shift in how subsurface operations can be modernized for the cloud era. By bridging TGS’s vision to become an AI-native geoscience company with AWS’s computational scale and EPAM’s cloud engineering expertise, the collaboration establishes an infrastructure foundation for AI-enabled energy workflows that on-premises operations were never built to deliver.

“The collaboration between TGS and both EPAM and AWS has delivered not just new technical capabilities, but a fundamentally better cost-performance model that adds agility and the latest computing innovations to our operations,” said Wadii El Karkouri, Executive Vice President of Technology at TGS. “The result is computational gravity, drawing the right data, expertise and infrastructure into a unified environment that transforms complexity into competitive advantage for energy companies.”

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