A modern enterprise can buy advice from one firm, software from another, cloud capacity from three others and implementation from a small parliament of contractors. Then it can spend a year discovering that the PowerPoint, the architecture and the actual behavior of the business never quite met. EPAM Systems has made a large company out of that awkward seam. It offers strategy, design and industry consulting, but its oldest reflex is still engineering: somebody eventually has to make the thing work.
That proposition produced $5.457 billion in revenue in 2025. In the second quarter of 2026, EPAM reported another $1.415 billion, up 4.5 percent from a year earlier. The company had roughly 62,750 people at the end of March, including about 56,500 delivery professionals. This is not a little studio selling taste by the hour. It is a global delivery system for difficult, software-heavy change.
The product is the missing handoff
EPAM began in 1993, when software engineer Arkadiy Dobkin built a cross-border business connecting U.S. customers with engineering talent in Eastern Europe. The geography was an advantage, but the more durable idea was that product engineering could be treated as a discipline rather than a pool of interchangeable programmers. Dobkin remained chief executive until September 2025 and now serves as executive chairman; Balazs Fejes is CEO and president.
Over three decades, EPAM moved outward from custom development. Today the menu includes business and technology strategy, product and platform engineering, cloud, data and analytics, artificial intelligence, cybersecurity, customer experience and managed services. EPAM Continuum supplies much of the strategy and design language. Delivery teams supply the code, testing, infrastructure and operational stamina.
One engagement, fewer ceremonial exits
The difference sounds subtle until a project goes wrong. A strategic recommendation may ignore an ancient core system. A delightful prototype may buckle under real traffic. A cloud migration may reproduce yesterday's mess at tomorrow's prices. EPAM's pitch is that advisers and builders should share the consequences. The company calls the combination integrated consulting and engineering. In plain English: do not let the people who drew the destination vanish before the road is built.
“EPAM has really been a partner in the entire journey - from ideation to validation, delivering the solution.”Jelle Gijsbers, Albert Heijn, on work with EPAM and Microsoft
Who calls, and what is usually broken
The typical buyer is a large organization whose technology is no longer back-office plumbing. Banks compete through onboarding and payments. Retailers need inventory and customer systems to agree. Health companies juggle sensitive data, regulation and aging applications. Game studios operate services that players expect to be available every minute. EPAM says it has worked with more than 345 companies in the Forbes Global 2000, alongside ambitious startups.
Public case studies make the work less abstract. For Epic Games, EPAM has provided quality engineering across online services, Fortnite and Unreal Engine. For Xbox Game Studios' World's Edge, it helped transition and operate the network operations center supporting Age of Empires, while updating online features. Baker Hughes used EPAM and AWS to pilot assistants for production and field engineers. Equifax Australia and New Zealand turned to EPAM after years of acquisitions left fragmented infrastructure and a delayed cloud migration.
Across those stories, the recurring problems are not “we need an app.” They are slower and more expensive: brittle legacy platforms, incompatible data, unreliable operations, security risk, poor customer journeys, delayed product releases and organizations that cannot change software as quickly as their market changes. EPAM can enter at several points, but its most valuable engagements expand across the chain.
AI arrives, carrying a clipboard
The latest version of this problem is enterprise AI. A model can produce a convincing demonstration in an afternoon. Production value depends on less glamorous matters: permissions, clean data, evaluation, cost controls, workflow redesign, monitoring, security and people willing to change how they work. EPAM's AI business is built around that distance between a clever prompt and an accountable system.
AI/Run
Methods, blueprints, talent systems and tools for redesigning software delivery and business processes around AI-native, agentic work.
EPAM DIAL
An open-source platform for orchestrating, governing and evaluating large language models and the applications built around them.
Cloud + data
Migration, cloud-native development, platform engineering, data foundations, governance and managed operations that make AI deployable.
Security by design
Architecture, application security, identity, threat defense and AI risk controls embedded into delivery rather than stapled on later.
In May 2026, EPAM announced a multi-year partnership with Anthropic, combining its delivery organization with Claude models, Claude Code and the Claude Agent SDK. A month earlier, it won two Google Cloud Partner of the Year awards, one for sustainability work using AI and geospatial technology and another for database modernization in Europe. It also achieved ISO/IEC 42001 certification for its AI management system. Taken together, the signals are practical: EPAM wants to be hired not simply to experiment with models, but to govern and scale them.
A business measured in teams, not seats
EPAM earns money chiefly through professional services. Clients pay for multidisciplinary teams, defined projects, long programs and ongoing managed operations. Some engagements use time-and-materials pricing; others use fixed-price arrangements. The company has software assets and accelerators, but it is not primarily a subscription business. Reusable tools shorten delivery, demonstrate expertise and open doors to more service work.
That model has a useful flywheel. An engineering relationship exposes the next bottleneck. A cloud program reveals a data problem; a data program exposes weak governance; a new digital product requires security, testing and round-the-clock support. The client gains continuity. EPAM gains a longer relationship and a larger share of the technology agenda. The risk is equally clear: revenue remains tied to customer budgets, utilization and the company's ability to recruit, train and deploy expensive talent.
In the market, EPAM sits among several tribes. Accenture, Capgemini and IBM Consulting bring executive access and enormous scope. Infosys, TCS, Wipro and HCLTech bring offshore scale and deep enterprise relationships. Globant, Endava, Thoughtworks and Publicis Sapient emphasize digital engineering, design or experience. EPAM's chosen middle is engineering depth with a widening consulting front end. It is large enough for multi-country programs but still wants to be judged like a builder.
The partnerships are part of the inventory
No integrator owns the whole modern stack, so alliances function like an extended product shelf. EPAM lists more than 150 technology partners. It is an AWS Premier Tier Services Partner, a Google Cloud Strategic Premier Partner and a Microsoft Global Systems Integrator. Its network also includes Adobe, Salesforce, SAP, ServiceNow, Snowflake, Databricks, commercetools, Anthropic and Cursor.
These relationships provide training, certifications, co-selling and early access to technologies clients already use. They also reduce a buyer's need to assemble separate specialists. The tradeoff is familiar across systems integration: EPAM must remain useful across competing platforms while demonstrating unusually deep skill on each. Its Microsoft practice, for example, spans Azure, AI, security and business applications; its Google relationship covers data, machine learning, security and migration.
Engineering culture leaves public fingerprints
Culture claims are easy to print and difficult to inspect. EPAM's stated values are to value the individual, act as a team, strive for excellence, focus on the customer and act with integrity. More revealing is what the company chooses to make visible. It reports more than 3,000 open-source contributors, over 550,000 commits in the public domain and more than 90 maintained projects. It also runs the Open Source Contributor Index, which tracks commercial participation in public code.
EPAM contributors to open source - a recruiting signal, a technical receipt and a way to learn in public.
Participants reported by EPAM Campus, the company's practice-oriented education network operating across more than 20 countries.
University partnerships reported by EPAM Campus, linking classroom learning to current engineering practice.
Education has been part of the operating model for decades. EPAM Campus offers training in more than 30 technical directions and works with universities to narrow the gap between curricula and live project demands. For a company whose inventory walks out of the building each evening, teaching is not a side program. It is supply-chain management for expertise.
The hard part stays hard
EPAM's history contains a sharp reminder that global delivery networks are exposed to the world, not floating above it. The war in Ukraine forced humanitarian action and a major rebalancing of operations. More recently, acquisitions have broadened the footprint. The 2024 purchase of NEORIS added roughly 4,800 professionals across Latin America, Spain and the United States; First Derivative strengthened financial-services consulting. The resulting network is more geographically varied, including a larger nearshore presence for North American and European clients.
The company now faces the same AI question it asks customers: how much of today's work will automation compress, and how much new work will transformation create? Coding agents may make individual engineers faster and reduce demand for routine implementation. They also create new demand for modernization, evaluation, security, workflow redesign and governed deployment. EPAM is betting that the second effect can outweigh the first - provided it changes its own delivery model quickly enough.
That is why the phrase “AI-native” appears so often in its current vocabulary. Underneath it is a less fashionable proposition. Large organizations rarely fail for lack of technology choices. They fail because choices do not connect to processes, systems and people. EPAM's business exists in those connections. The slide deck may win the meeting, but the code has to survive Monday morning.