EPAMEPAM Systems, Inc.

“pure AI revenues exceeded $125 million in Q1, up nearly 20% sequentially from Q4. This momentum gives us a strong line of sight to our $600 million target for the full year, even with the broader macro variability we have factored into our outlook.”

“AI native and AI foundational revenues continued to contribute to year-over-year growth with more than $125 million AI native revenues in the quarter. This is the fifth consecutive quarter of sequential double-digit growth.”

“our current AI native business or portfolio, which is over $125 million per quarter is run higher profitability than EPAM average. So that's what we see.”

“bring the right AI and GenAI programs from use case concepts to full-scale production deployment for a large global insurance company. Here, our DI platforms serve us both domain playbook and a significant accelerator, integrating both upstream and downstream systems to ensure seamless end-to-end automation to assist the reinsurance clean department in first order of loss processing. EPAM automated billing reconciliation and streamlined reinsurance treaty analysis proving the real-world potential of AI in a highly regulated industry. After implementation, time to process first order of loss events decreased by 75%.”

“modernize and upgrade global streaming infrastructure for a leading streaming platform client within the media entertainment, serving 10-plus million concurrent users across 50-plus countries. With our partner, AWS, we successfully transformed a fragile single-region platform into a self-healing global system sustaining 99% uptime without manual interaction. The solution deployed active, active ES across more than 6 regions with automated IAC governance and standardized site reliability engineering practices. Together, we helped our client achieve 70% less configuration drift and 0 downtime deployments.”

“PDLC transformation for Nelnet, a global company specializing in consumer finance, student loan servicing, telecommunications and education to explore the potential of GenAI tools to boost PDLC efficiency. To do that, EPAM developed a program to identify baselines and performance productivity benchmarks based on EPAM's AI/Run transform, Nelnet achieved a 31% productivity increase, accelerated back-end development by nearly 2x and empowered its teams to scale AI-driven innovation across the organization.”

“I think Anthropic is going to be a very important relationship for -- we are -- I think we are following a playbook, which we've done before. We are -- we prepared preprepared engineers with our internal development. Once commercial products became available and certification quickly. We pivoted towards uncertified or engineering team. I just checked this morning, we are over 1,400 certified cloud architects as of this moment.”

“As an Anthropic services partner, EPAM is building a dedicated practice for more than 10,000 cloud-certified architects, including the specialized cadre of 250 forward deployed engineering Black Belts. To date, over 20,000 EPAMers have completed training via entropic economy and more than 1,300 are already Claude certified. We expect to reach 5,000 certifications by end of Q3 with 10,000 by year-end.”

“Looking across our top 100 clients, traction remains strong as more than 80% of our engaged in AI initiatives. Our AI frameworks and tools continue to support hundreds of active AI-native projects. Note, we had more than 100 new AI-native project launched in Q1, illustrating our active pipeline and healthy replenishment of new opportunities.”

“you need to control multiple aspects. You need to, first of all, control the model usage, what task, which model you are using what is the frequency of that model. You need to have the right blend of model. So what we are building out is this blending capability, which is which where for each particle task, you need to select the right model, which is able to execute, but cheap enough to deliver the ROI. At the same time, you also have to recognize that you can buy the same token from the same model from multiple sources. So you need to have the multi-sourcing capability, someone came to a trading desk, which allows you to purchase the same model, same capability from various sources.”

“we are going to the clients with very advanced engagement model. This is what I highlighted when you were in the IA Day, we demonstrated dark factory capabilities. And yes, we are proactively talking to our clients, how we can introduce them how we can actually provide them a dark factory based for the autonomous applicable maintenance and support capabilities, how we can automate a large part of the testing flows.”

“it's no longer just 3 or 4. We're actually talking about close to 10 opportunities at this point of time. These opportunities are outsized in terms of range, all of them are non-T&M, so different commercial models, combining AI, token in the picture themselves. They are -- it's a variation of business transformation, vendor consolidation and the size is really outside of EPAM's norm, what we typically do.”

“We earned two 2026 Google Cloud Partner of the Year awards for helping clients achieve measurable business outcomes through advanced AI and cloud technologies. The sustainable award highlighted our use of AI and geospatial technology to address environmental challenges, while databases, ML awards celebrated or scalable methodologies for enterprise cloud migrations including our work with Deutsche Bank.”

“clients shifting some of the IT budgets towards AI spending and also the increasingly automating parts of the SDLC, for example, testing itself. And probably, they are diverting investments away from digital platform, e-commerce platform build-outs towards new AI native products or a native platforms construction. So that's the shift what we are seeing right now.”

“EPAM is seeing an oxalating large-deal pipeline focused on AI-enabled vendor consolidations, where EPAM has significant opportunity to gain market share. These multiyear deals are larger than our historical norm are expected to scale over time and include a range of commercial models.”

“AI/Run, then from being an SDLC transformation pay book to powering a series of AI/Run transform motions that bring significant structure and volume to our clients' own adoption apertures. ROI-driven Playbook uniquely brings together our engineering excellence with AI native delivery, coupled with strategic consulting and advisory teams, deep technical expertise and partner ecosystem technologies.”

“Our aspiration is to become the go-to partner for enterprise a transformation with a focus on 3 strategic pillars, which are helping reshape the company. These pillars include establishing ourselves as a leading AI delivery software engineering services provider, transforming ourselves into an AI-native organization and capitalizing on our AIT structure to expand go-to-market offerings.”

“EPAM is fundamentally retaining how the company operates, which goes beyond scaling AI adoption across 60,000 people. With our Client Zero mentality, we are engineering an entirely new operating model one that dynamically blends human talent, AI capabilities and advanced agentic systems to run the business foster better and lower cost across all geographies.”

“We also just announced a strategic multiyear applied AI partnership with Ontic to accelerate the delivery of safe, reliable enterprise-grade AI for our clients.”

“The gap between the rapidly developing foundational AI capabilities and the ability of enterprises and societies to adopt AI safely, reliably and with sustainable growing volume will drive some of the largest technological investments humanity has ever made.”