EPAM Systems
NYSE-listed engineering services firm with enterprise-grade AI and MLOps practices
What is EPAM Systems?
EPAM Systems (NYSE: EPAM) is one of the largest engineering services companies in the world, with approximately 55,000 engineers across 50+ countries as of 2025. Founded in 1993 and headquartered in Newtown, PA, the company holds top-tier cloud partnerships: AWS Premier Consulting Partner, Microsoft Solutions Partner (Azure Expert MSP status), and Google Cloud Partner. Its dedicated AI and LLM engineering practice runs enterprise-scale agent programmes, MLOps pipelines, and compliance-sensitive deployments across financial services, healthcare, and insurance. EPAM is the natural choice when delivery scale, regulated-industry track record, and contractual enterprise procurement structures matter more than pure agentic specialisation.
EPAM Systems was founded in 1993 and is headquartered in Newtown, PA, USA. The firm employs 50,000+ people and works primarily with clients in Financial services, Healthcare, Insurance, Retail, Media sectors. Its primary differentiator is: 55,000+ engineers, top-tier partnerships with AWS / Azure / GCP, and a track record in compliance-sensitive regulated-industry AI deployments.
EPAM Systems tech stack and services
| Service area | Details |
|---|---|
| Enterprise AI agent programmes at scale | Available for Financial services, Healthcare, Insurance, Retail, Media clients |
| Compliance-sensitive AI deployments (regulated industries) | Available for Financial services, Healthcare, Insurance, Retail, Media clients |
| Large-scale MLOps pipelines and model lifecycle management | Available for Financial services, Healthcare, Insurance, Retail, Media clients |
| Multi-region AI-powered process automation | Available for Financial services, Healthcare, Insurance, Retail, Media clients |
| AI programme staffing and platform engineering | Available for Financial services, Healthcare, Insurance, Retail, Media clients |
EPAM Systems use cases
Short answer: EPAM Systems is best suited for enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires.
| Use case | Industries | Approach |
|---|---|---|
| Enterprise AI agent programmes at scale | Financial services, Healthcare | Azure OpenAI, AWS Bedrock |
| Compliance-sensitive AI deployments (regulated industries) | Financial services, Healthcare | Azure OpenAI, AWS Bedrock |
| Large-scale MLOps pipelines and model lifecycle management | Financial services, Healthcare | Azure OpenAI, AWS Bedrock |
| Multi-region AI-powered process automation | Financial services, Healthcare | Azure OpenAI, AWS Bedrock |
| AI programme staffing and platform engineering | Financial services, Healthcare | Azure OpenAI, AWS Bedrock |
EPAM Systems pricing
Short answer: EPAM Systems uses a retainer, dedicated team, t&m pricing approach. Minimum engagement starts at ~$200K+ (estimated; contact for RFP).
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time and materials | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Largest engineering capacity on this list; can staff multi-team AI programmes | -Enterprise pricing: minimum engagement ~$200K+; not competitive for projects under that threshold |
| +Top-tier cloud partnerships: AWS Premier, Azure Expert MSP, Google Cloud Partner | -AI practice sits within a very large generalised portfolio; confirm AI team seniority during scoping |
| +Strong compliance and regulatory expertise (HIPAA, SOC 2, ISO standards) | -Slower project starts and higher overhead than boutique specialists |
| +Geographic coverage across 50+ countries; suited to multi-region delivery requirements | -Less framework agility: focuses on major cloud AI platforms over specialist OSS stacks |
| +Mature MLOps, DevSecOps, and enterprise security practices |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top AI agent development companies in 2026.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | SaaS companies and tech teams that need a... | AI-native from founding: every engineer is an agent specialist, not a repositioned generalist | 4.9 | Full comparison |
| Leewayhertz | Mid-market product and engineering teams that need AI-first... | Broadest framework coverage (LangGraph, CrewAI, AutoGen) and largest completed AI portfolio of the specialist firms on this list | 4.6 | Full comparison |
| SoftServe | Mid-market to enterprise teams needing GenAI or healthcare... | Deep healthcare AI delivery track record alongside 30+ years of IT services; primary engineering base in Ukraine and Poland | 4.2 | Full comparison |
| Turing | Companies that already have technical leadership and want... | Talent marketplace: assembles a vetted AI engineering team in days; buyer must provide technical direction and project ownership | 3.9 | Full comparison |
| Appinventiv | Cost-conscious projects needing a fixed-scope AI agent or... | India-based delivery rates with a 1,500+ team; accessible fixed-price model for defined-scope AI builds | 3.7 | Full comparison |
| SoluLab | Startups and early-stage teams exploring AI agent feasibility... | Lowest minimum engagement ($15K) of any firm on this list; accessible starting point before committing to larger AI-native vendors | 3.5 | Full comparison |
| Simform | Mid-market and enterprise teams needing cloud-native AI agent... | 1,000+ engineers with AWS, Google Cloud, and Azure partnerships; strong client satisfaction track record on Clutch | 4.6 | Full comparison |
| Markovate | Healthcare, fintech, and SaaS companies integrating AI agents... | ISO-certified with HIPAA/GDPR readiness; leadership with prior AI experience at AT&T and IBM | 4.5 | Full comparison |
| Kanerika | Mid-market and enterprise companies in manufacturing, logistics, and... | Microsoft Solutions Partner for Data & AI; data-native agent design on top of existing data pipelines | 4.5 | Full comparison |
| ITRex Group | Media, fintech, and SaaS companies needing AI-first engineering... | AI-first engineering culture with US + EMEA delivery and no long-term lock-in; start-small PoC model | 4.4 | Full comparison |
| Intuz | Healthcare, e-commerce, and finance teams needing multimodal AI... | Cross-framework expertise across five agent frameworks (LangGraph, AutoGen, CrewAI, OpenAgents, MetaGPT) and multimodal agent support | 4.4 | Full comparison |
| Brocoders | SaaS companies and mid-sized businesses that need AI... | 5.0 Clutch rating across 30 reviews; MCP-enabled AI workflows in production products | 4.8 | Full comparison |
| Azumo | US product teams seeking nearshore AI engineering with... | Nearshore Latin America delivery with US time zones; SOC 2 compliant private model tuning | 4.4 | Full comparison |
| DevCom | Mid-market businesses building custom AI agents for defined... | Close-collaboration delivery model; US-based client management with Ukraine-based engineering | 4.3 | Full comparison |
| Neurons Lab | Financial institutions and regulated-sector organisations moving AI agents... | Financial services specialisation with compliance and data sovereignty built into every delivery | 4.5 | Full comparison |
| RTS Labs | Enterprise teams needing combined data strategy and AI... | Data strategy and AI agent development in one firm; supply chain and logistics AI depth | 4.3 | Full comparison |
| Master of Code Global | Enterprise retail, banking, and healthcare teams building customer-facing... | 10+ years of conversational AI delivery; 250+ projects across enterprise clients | 4.4 | Full comparison |
| HatchWorks AI | Healthcare, financial services, and energy organisations that need... | Governance and model observability built into the architecture from sprint one | 4.3 | Full comparison |
| Intellectyx | Enterprise organisations that need AI agents mapped to... | Strategy-led approach: AI agents are scoped against business outcomes, not technology requirements | 4.2 | Full comparison |
| SoftKraft | SaaS and tech companies that prioritise code quality... | Test-driven development (TDD) methodology applied to AI agents — validated before production deployment | 4.3 | Full comparison |
| Codebridge | Tech companies building AI agents as a core... | Architectural-first methodology: AI agents designed as a foundational system layer, not a bolt-on | 4.3 | Full comparison |
| Neoteric | Companies building AI agents where end-user experience is... | AI-native consultancy with UX depth — agents designed for user adoption, not just technical performance | 4.2 | Full comparison |
| OpenKit | Legal, education, and regulated-sector organisations needing AI agents... | Legal and edtech AI agent specialisation with data sovereignty and compliance focus | 4.2 | Full comparison |
| GenAI Labs | Businesses needing production-ready AI agents for internal workflow... | Production-first philosophy: every engagement targets real business system integration, not generic LLM demos | 4.3 | Full comparison |
| XenonStack | Enterprise teams needing AI agents embedded in cloud-native... | Platform engineering depth — AI agents built on top of production-grade cloud and data infrastructure | 4.1 | Full comparison |
| Deeper Insights | UK and European organisations needing AI agent development... | UK-based AI and data science depth with AI governance consulting; strong NLP and computer vision background | 4.2 | Full comparison |
| LITSLINK | SaaS, fintech, and healthcare teams needing production-grade AI... | Multi-framework expertise across 5 agent frameworks with observability tooling built into every deployment | 4.2 | Full comparison |
| AscentCore | Enterprise teams needing AI agents integrated with existing... | Product thinking applied to AI engineering — agents designed for operational integration, not standalone deployment | 4.1 | Full comparison |
| ScienceSoft | Enterprise organisations that need AI agent development backed... | 35 years of IT delivery experience with a mature AI and ML practice; strong risk management and project governance | 4.3 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
EPAM Systems (NYSE: EPAM) is one of the largest engineering services companies in the world, with approximately 55,000 engineers across 50+ countries as of 2025. Founded in 1993 and headquartered in Newtown, PA, the company holds top-tier cloud partnerships: AWS Premier Consulting Partner, Microsoft Solutions Partner (Azure Expert MSP status), and Google Cloud Partner. Its dedicated AI and LLM engineering practice runs enterprise-scale agent programmes, MLOps pipelines, and compliance-sensitive deployments across financial services, healthcare, and insurance. EPAM is the natural choice when delivery scale, regulated-industry track record, and contractual enterprise procurement structures matter more than pure agentic specialisation.
How much does EPAM Systems charge?
EPAM Systems uses retainer, dedicated team, t&m pricing. Minimum engagement starts at ~$200K+ (estimated; contact for RFP). A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with Azure OpenAI, AWS Bedrock, GCP Vertex AI, LangChain, MLflow, Kubeflow, Python. Primary industries served include Financial services, Healthcare, Insurance, Retail, Media.
Is EPAM Systems right for enterprise?
Enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires. 50,000+ team size. Key consideration: Enterprise pricing: minimum engagement ~$200K+; not competitive for projects under that threshold.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- Tensorway: ai-native from founding: every engineer is an agent specialist, not a repositioned generalist
- Leewayhertz: broadest framework coverage (langgraph, crewai, autogen) and largest completed ai portfolio of the specialist firms on this list
- SoftServe: deep healthcare ai delivery track record alongside 30+ years of it services; primary engineering base in ukraine and poland
Compare EPAM Systems with other AI agent development companies
Last reviewed: June 2026. Verify all details directly with EPAM Systems before making a decision.