EPAM Launches New Frontier AI Service to Bridge the Gap Between Generative AI and Autonomous Proxy Enterprise Intelligence
PR Newswire
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Ai Focus
EPAM Systems Announces the Launch of a New Strategic Service for the Next Generation of Cutting-Edge AI Models, Focusing on High-Fidelity Data Generation, Model Evaluation, and Customized Reinforcement Learning Environments. The company states that this service will leverage its corporate engineering expertise and collaboration with laboratories such as Anthropic, OpenAI, Google, and Microsoft to help execute complex business workflows more reliably.
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The new service leverages decades of corporate engineering experience represented by EPAM and existing laboratory partnerships with AI to provide advanced data and assessment services.

Newtown, Pennsylvania, October 5th / PRNewswire / -- EPAM Systems, Inc. ( NYSE : EPAM ) Today, we announce the launch of a new strategic service designed to support the next generation of cutting-edge AI models. EPAM states that this service is positioned as a foundational intelligent layer within the AI ecosystem, aiming to address a key bottleneck in the industry: enabling advanced AI models to execute complex, professional business workflows more reliably.

In the early days, generative AI models were primarily trained using widely available public data to master general language and coding capabilities. However, the industry has now entered a new phase. With the accelerating adoption of these technologies, the focus has shifted to complex enterprise workflows, multi-step proxy executions, and professional vertical reasoning that requires validated domain knowledge. EPAM states that, leveraging decades of extensive experience in designing, integrating, and maintaining complex enterprise workflows, the company will provide professional capabilities such as high-fidelity data generation, rigorous model evaluation, and the construction of customized reinforcement learning (RL) environments.

EPAM Chief Strategy and Transformation Officer Elaina Shekhter stated: "As cutting-edge AI evolves from general-purpose experimentation to complex enterprise workflows, the demand has fundamentally shifted from raw computing power to intelligent solutions in specialized fields. Our new services bridge this critical gap by combining our decades of extensive engineering expertise with our existing Frontier AI partnerships, enabling us to uniquely capture this vast and highly valuable market. We are not merely riding on the GenAI wave; we are actively building the infrastructure that makes enterprise-level autonomy possible."

EPAM indicates that these capabilities are also built upon the company's existing collaborations with leading AI laboratories, including Anthropic, OpenAI, Google, and Microsoft. EPAM states that the company boasts one of the largest AI engineering projects in the industry, having so far trained and deployed nearly 10,000 Claude certified architects, over 3,000 OpenAI certified frontline deployment engineers ( FDEs), and more than 5,000 Gemini certified experts. EPAM suggests that this certification capability, which covers the main model ecosystems, combined with the company's first-hand insights into where models perform well and where difficulties arise in enterprise deployments, can provide the laboratories with the necessary credible and high-level collaboration to accelerate model development and help enterprises move from pilots to measurable business results.

A core aspect of this service is the development of a RL environment that supports scenario simulation. EPAM indicates that these complex, controlled virtual environments can map to complex enterprise systems and workflows, allowing developers to conduct rigorous stress testing of multiple rounds of interactions, reasoning, and tool usage before production. At the same time, they provide a safe closed-loop feedback mechanism for reinforcement learning and continuous model improvement.

EPAM cites Gartner's report from April 2026, " Emerging Tech : AI Race : Simulation Supercharges Agent Evaluation and Self - Learning Loops for AI Agents", which states that by 2028, 99% of proxy platform providers will offer simulated environments, up from less than 25% in 2026.

For the latest AI capabilities and corporate engineering services of EPAM, please visit: www.epam.com / frontier-ai

Source: Gartner Report " Emerging Tech : AI Race : Simulation Supercharges Agent Evaluation and Self - Learning Loops for AI Agents ", authors Radu Miclaus, Danielle Casey, etc., April 2026. Gartner is a trademark of Gartner, Inc and/or their affiliated companies.

About EPAM Systems

EPAM ( NYSE : EPAM ) is a global leader in the field of AI transformation engineering and integrated consulting, serving Fortune Global 2000 companies as well as ambitious startups. With over 30 years of experience in custom software, product, and platform engineering, EPAM helps organizations become AI native enterprises, creating measurable value from innovation and digital investments. EPAM is recognized by industry benchmarks and leading analysts as a leader in its AI field, capable of delivering globally while also enabling localized collaboration, turning the future into reality for customers, partners, and employees.

We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time magazine, Great Place, to, Work, and kununu as one of the world’s most beloved workplaces.

For more information, please visit www.epam.com. Follow us at LinkedIn.

Forward-looking Statements

This press release contains estimates and statements made under the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995, which may constitute forward-looking statements. The accuracy of such statements is subject to various risks, uncertainties, and assumptions related to future events that may not prove to be accurate. Our estimates and forward-looking statements are based primarily on our current expectations and assumptions regarding future events and trends, which could affect or may affect our business and operations. These statements may contain words such as “may,” “will,” “should,” “believe,” “expect,” “anticipate,” “intend,” “plan,” “estimate,” and similar phrases. Such future events and trends may include the Ukraine conflict and its potential escalation in surrounding regions, political and civil unrest or military actions in the areas where we conduct our business and operations, global capital markets, foreign exchange markets, global trade, and broader economic conditions, the adoption and implementation of artificial intelligence technology by EPAM and its customers, as well as the potential impact of these events on customer demand, our revenue, operations, financing sources, and profitability. Other factors that could lead to significant differences between actual results and those expressed or implied include general economic conditions, risk factors discussed in the company’s most recent 10-K annual reports, factors discussed in quarterly 10-Q reports, particularly the sections titled “Management’s Discussion and Analysis of Financial Conditions and Operating Results” and “Risk Factors,” as well as other documents submitted to the U.S. Securities and Exchange Commission. Although we believe that these estimates and forward-looking statements are based on reasonable assumptions, they are subject to certain risks and uncertainties and are made based on information currently available to us. Except as required by securities laws, EPAM assumes no obligation to update or revise any forward-looking statements due to new information, future events, or other reasons.

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