Data Reply vs EPAM Systems: full comparison for 2026
Quick verdict
Data Reply (3.7/5) edges ahead of EPAM Systems (3.3/5) overall. Data Reply is the better choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. EPAM Systems is the stronger option for global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster. The right choice depends on your project size, budget, and required tech stack.
Data Reply vs EPAM Systems: head-to-head summary
| Criterion | Data Reply | EPAM Systems |
|---|---|---|
| Founded | 1996 | 1993 |
| HQ | London, UK (Reply Group, Turin, Italy) | Newtown, PA, USA |
| Team size | 11-58 | 60000+ |
| Rating | 3.7 / 5 | 3.3 / 5 |
| Best for | Buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent | Global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster |
| Pricing model | Retainer, fixed project | Retainer, dedicated team, T&M |
| Min. engagement | $25K | $150K |
| Primary tech stack | Azure, AWS, Python | AWS, Azure, GCP |
| Industries served | Fintech, Retail, Manufacturing | Fintech, Retail, Healthcare, Telecom |
Data Reply vs EPAM Systems: overview
Data Reply
Data Reply is a specialized division of Reply, the Italian IT consulting and system integration company founded in 1996 and headquartered in Turin, Italy, with Reply overall employing over 17,000 people as a publicly traded company. Data Reply's UK and Germany divisions (roughly 11-58 employees each) focus on analytics, big data engineering, data science, and AI implementation advisory.
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.
Services and capabilities: Data Reply vs EPAM Systems
| Capability | Data Reply | EPAM Systems |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✗ |
Tech stack comparison: Data Reply vs EPAM Systems
| Framework / platform | Data Reply | EPAM Systems |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Data Reply vs EPAM Systems
| Criterion | Data Reply | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | $150K |
| Engagement models | Retainer, Fixed project, Staff augmentation | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Data Reply vs EPAM Systems
| Dimension | Data Reply | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, Manufacturing | Fintech, Retail, Healthcare |
| Best use cases | Data-and-AI advisory for EU enterprises, Big data engineering for agent systems | Global GenAI consulting programs, Enterprise agent QA and monitoring |
| Typical project type | Retainer | Retainer |
Data Reply vs EPAM Systems: pros and cons
| Data Reply | |
|---|---|
| + | Backed by Reply, a publicly traded 17,000+ person IT consulting group, for financial stability |
| + | Specialized data-and-AI division stays focused rather than being a generalist practice |
| + | European delivery footprint (UK, Germany) suits EU data-residency needs |
| - | Individual division team size (11-58) is small relative to the parent group, limiting standalone capacity |
| - | Reporting structure inside a larger group can add coordination layers for cross-border engagements |
| EPAM Systems | |
|---|---|
| + | Publicly traded (NYSE) with the largest workforce (64,000+) of any firm in this roster |
| + | Gartner-recognized as a GenAI Consulting & Implementation Services leader |
| + | Distributed delivery model across 50+ countries supports global follow-the-sun programs |
| - | Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| - | Massive scale means essentially no boutique-style senior-partner attention |
Who should choose Data Reply?
Data Reply is the right choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. Minimum engagement starts at $25K. Works best with clients in Fintech, Retail, Manufacturing.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster.
Gartner-recognized GenAI consulting leader with 64,000+ employees, the largest single firm in this roster. Minimum engagement starts at $150K. Works best with clients in Fintech, Retail, Healthcare, Telecom.
Decision matrix: Data Reply vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Data Reply |
| You need a large dedicated team for an ongoing programme | EPAM Systems |
| Your budget is at the lower end | Data Reply |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Data Reply vs EPAM Systems
| Use case | Data Reply fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Data-and-AI advisory for EU enterprises | Strong | Limited | Data Reply |
| Big data engineering for agent systems | Strong | Limited | Data Reply |
| Global GenAI consulting programs | Limited | Strong | EPAM Systems |
| Enterprise agent QA and monitoring | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Data Reply vs EPAM Systems
Data Reply (3.7/5) is the stronger overall choice for most AI Agent projects. Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. It is best for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
EPAM Systems (3.3/5) is the better choice when global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Data Reply vs EPAM Systems FAQ
Is Data Reply better than EPAM Systems?
Data Reply (3.7/5) scores higher overall, but "better" depends on your use case. Data Reply is better for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. EPAM Systems is better for global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster.
How do Data Reply and EPAM Systems differ in pricing?
Data Reply uses retainer, fixed project pricing with a minimum engagement of $25K. EPAM Systems uses retainer, dedicated team, t&m pricing with a minimum engagement of $150K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Data Reply or EPAM Systems?
EPAM Systems is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Data Reply and EPAM Systems?
Data Reply's primary differentiator is: backed by publicly traded reply group (17,000+ employees) while operating as a focused, smaller specialist division. EPAM Systems's primary differentiator is: gartner-recognized genai consulting leader with 64,000+ employees, the largest single firm in this roster. They also differ in team size (11-58 vs 60000+), minimum engagement ($25K vs $150K), and primary industries served (Fintech, Retail vs Fintech, Retail).