EPAM Systems
Publicly traded global engineering and AI consultancy
Founded 1993 | Newtown, PA, USA | 60000+ employees
agent-orchestrationmonitoring-agentsenterprise-automation
What is EPAM Systems?
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with 64,018 employees worldwide as of March 2026, trading publicly on the NYSE. The firm integrates advanced AI technologies through platforms like EPAM AI/RUN and initiatives like Agentic QA, and has been named a GenAI Consulting & Implementation Services leader by Gartner.
EPAM Systems was founded in 1993 and is headquartered in Newtown, PA, USA. The firm employs 60000+ people and works primarily with clients in Fintech, Retail, Healthcare, Telecom sectors. Its primary differentiator is: Gartner-recognized GenAI consulting leader with 64,000+ employees, the largest single firm in this roster.
EPAM Systems tech stack and services
AWSAzureGCPKubernetes
| Service area | Details |
|---|---|
| Global GenAI consulting programs | Available for Fintech, Retail, Healthcare, Telecom clients |
| Enterprise agent QA and monitoring | Available for Fintech, Retail, Healthcare, Telecom clients |
| Gartner-benchmarked AI transformation | Available for Fintech, Retail, Healthcare, Telecom clients |
EPAM Systems use cases
Short answer: EPAM Systems is best suited for global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster.
| Use case | Industries | Approach |
|---|---|---|
| Global GenAI consulting programs | Fintech, Retail | AWS, Azure |
| Enterprise agent QA and monitoring | Fintech, Retail | AWS, Azure |
| Gartner-benchmarked AI transformation | Fintech, Retail | AWS, Azure |
EPAM Systems pricing
Short answer: EPAM Systems uses a retainer, dedicated team, t&m pricing approach. Minimum engagement starts at $150K.
| 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 |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Publicly traded (NYSE) with the largest workforce (64,000+) of any firm in this roster | -Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| +Gartner-recognized as a GenAI Consulting & Implementation Services leader | -Massive scale means essentially no boutique-style senior-partner attention |
| +Distributed delivery model across 50+ countries supports global follow-the-sun programs |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top AI Agent consultancies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams that need senior, agent-specialist advisory without big-consultancy... | 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff | 4.8 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting boutique advisory with... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small advisory team | 4.5 | Full comparison |
| West Monroe | Enterprises wanting a proven business-and-technology consultancy with a... | Publicly launched its own agent product (WestMonroe.ai) as proof of applied capability, not just advisory slides | 4.4 | Full comparison |
| Neurons Lab | Enterprises that need AI opportunity discovery and advisory... | Full-lifecycle advisory model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| Stride Consulting | Regulated-industry buyers (finance, healthcare, insurance) needing compliance-aware agent... | Explicit advisory focus on agentic AI for regulated/compliance-heavy environments | 4.2 | Full comparison |
| Tribe AI | Enterprises wanting access to a curated network of... | Platform-plus-network advisory model sourcing specialists per engagement rather than a static bench | 4.2 | Full comparison |
| RTS Labs | Enterprises stuck at the AI pilot stage that... | Explicit pilot-to-production advisory focus with named architecture/guardrails methodology | 4.1 | Full comparison |
| Thoughtworks | Large enterprises needing agent governance advisory across multi-cloud... | Named agent governance product (Agent/works) purpose-built to run and oversee enterprise AI agents | 4.0 | Full comparison |
| Rearc | Enterprises wanting an engineering-first advisory partner over a... | Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off | 4.0 | Full comparison |
| Hakkoda | Buyers wanting IBM-backed stability for data-and-AI advisory work... | IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio | 3.9 | Full comparison |
| Xebia | Enterprises wanting AI advisory paired with a dedicated... | Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery | 3.9 | Full comparison |
| Blue Orange Digital | Data-heavy buyers wanting an AI advisory boutique with... | Backed by Oliver Wyman, a top-tier management consultancy, giving strategic advisory credibility beyond a typical AI boutique | 3.8 | Full comparison |
| Kanerika | Data-heavy enterprises wanting advisory tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic advisory decks | 3.8 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 3.8 | Full comparison |
| Data Reply | Buyers wanting a specialized data-AI advisory division backed... | Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division | 3.7 | Full comparison |
| Slalom | Enterprises wanting a large, geographically diverse consultancy with... | Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing | 3.7 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting full AI-first advisory, not just... | Documented evolution from web development to AI-first agentic advisory, with MLOps as a distinct capability | 3.6 | Full comparison |
| LeewayHertz | Buyers who want the stability of a Hackett... | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.6 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI agent advisory alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.5 | Full comparison |
| Quytech | Buyers wanting agentic AI advisory paired with computer... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.5 | Full comparison |
| Master of Code Global | Brands wanting conversational AI agent advisory with named... | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.5 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent advisory embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.5 | Full comparison |
| Innowise | Buyers wanting large-scale offshore advisory-plus-delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.4 | Full comparison |
| Publicis Sapient | Global enterprises needing a top-tier advisory brand with... | Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation | 3.4 | Full comparison |
| Persistent Systems | Enterprises wanting a publicly traded, audited advisory partner... | Publicly traded (BSE/NSE) with 24,000+ employees and 35 years of digital engineering history | 3.4 | Full comparison |
| Endava | Enterprises wanting a publicly traded UK-headquartered technology consultancy... | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers | 3.3 | Full comparison |
| Zensar Technologies | Enterprises wanting a large, governance-focused agentic AI platform... | Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus | 3.3 | Full comparison |
| Version 1 | Enterprises wanting an Ireland/UK-anchored management consultancy for AI... | Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies | 3.2 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with 64,018 employees worldwide as of March 2026, trading publicly on the NYSE. The firm integrates advanced AI technologies through platforms like EPAM AI/RUN and initiatives like Agentic QA, and has been named a GenAI Consulting & Implementation Services leader by Gartner.
How much does EPAM Systems charge?
EPAM Systems uses retainer, dedicated team, t&m pricing. Minimum engagement starts at $150K. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with AWS, Azure, GCP, Kubernetes. Primary industries served include Fintech, Retail, Healthcare, Telecom.
Is EPAM Systems right for enterprise?
Global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster. 60000+ team size. Key consideration: Very high minimum engagement puts it out of reach for all but the largest enterprise buyers.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- Tensorway: 100% of advisory and delivery staff are senior ai engineers — no junior bench, no strategy-to-build handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small advisory team
- West Monroe: publicly launched its own agent product (westmonroe.ai) as proof of applied capability, not just advisory slides
Compare EPAM Systems with other AI Agent consultancies
EPAM Systems vs Tensorway EPAM Systems vs Vstorm EPAM Systems vs West Monroe EPAM Systems vs Neurons Lab EPAM Systems vs Stride Consulting EPAM Systems vs Tribe AI EPAM Systems vs RTS Labs EPAM Systems vs Thoughtworks EPAM Systems vs Rearc EPAM Systems vs Hakkoda EPAM Systems vs Xebia EPAM Systems vs Blue Orange Digital EPAM Systems vs Kanerika EPAM Systems vs Grid Dynamics EPAM Systems vs Data Reply EPAM Systems vs Slalom EPAM Systems vs Intuz EPAM Systems vs Signity Solutions EPAM Systems vs LeewayHertz EPAM Systems vs Netguru EPAM Systems vs Azilen Technologies EPAM Systems vs Matellio EPAM Systems vs Quytech EPAM Systems vs Master of Code Global EPAM Systems vs GeekyAnts EPAM Systems vs Innowise EPAM Systems vs Publicis Sapient EPAM Systems vs Persistent Systems EPAM Systems vs Endava EPAM Systems vs Zensar Technologies EPAM Systems vs Version 1