Intuz vs EPAM Systems: full comparison for 2026
Quick verdict
Intuz (3.7/5) edges ahead of EPAM Systems (3.3/5) overall. Intuz is the better choice for buyers wanting a documented count of live production agent deployments backing the advisory. 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.
Intuz vs EPAM Systems: head-to-head summary
| Criterion | Intuz | EPAM Systems |
|---|---|---|
| Founded | 2008 | 1993 |
| HQ | San Francisco, USA | Newtown, PA, USA |
| Team size | 51-200 | 60000+ |
| Rating | 3.7 / 5 | 3.3 / 5 |
| Best for | Buyers wanting a documented count of live production agent deployments backing the advisory | Global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster |
| Pricing model | Dedicated team, fixed project | Retainer, dedicated team, T&M |
| Min. engagement | $20K | $150K |
| Primary tech stack | LangGraph, CrewAI, AutoGen | AWS, Azure, GCP |
| Industries served | Healthcare, E-commerce, Logistics | Fintech, Retail, Healthcare, Telecom |
Intuz vs EPAM Systems: overview
Intuz
Intuz was founded in 2008 and is a US-headquartered company with offices in San Francisco and San Ramon, California, plus an engineering center in Ahmedabad, India, and 51-200 employees. The firm advises on and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
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: Intuz vs EPAM Systems
| Capability | Intuz | EPAM Systems |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✗ |
Tech stack comparison: Intuz vs EPAM Systems
| Framework / platform | Intuz | EPAM Systems |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | 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 | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Intuz vs EPAM Systems
| Criterion | Intuz | EPAM Systems |
|---|---|---|
| Minimum engagement | $20K | $150K |
| Engagement models | Dedicated team, Fixed project, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Intuz vs EPAM Systems
| Dimension | Intuz | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, E-commerce, Logistics | Fintech, Retail, Healthcare |
| Best use cases | Production multi-agent advisory, Healthcare/logistics agent strategy | Global GenAI consulting programs, Enterprise agent QA and monitoring |
| Typical project type | Dedicated team | Retainer |
Intuz vs EPAM Systems: pros and cons
| Intuz | |
|---|---|
| + | Reports a specific, high production-deployment count (100+) rather than vague claims |
| + | US HQ with an India engineering center balances access and delivery cost |
| + | Multi-framework fluency (LangGraph, CrewAI, AutoGen) avoids lock-in to one stack |
| - | Deployment-count figures are self-reported (per company website; independently unverifiable) |
| - | Mid-size team (51-200) may face capacity limits on very large multi-region programs |
| 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 Intuz?
Intuz is the right choice for buyers wanting a documented count of live production agent deployments backing the advisory.
Reports 100+ enterprise agent deployments already in production across three named framework stacks. Minimum engagement starts at $20K. Works best with clients in Healthcare, E-commerce, Logistics.
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: Intuz vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Intuz |
| You need a large dedicated team for an ongoing programme | Intuz |
| Your budget is at the lower end | Intuz |
| 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: Intuz vs EPAM Systems
| Use case | Intuz fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Production multi-agent advisory | Strong | Limited | Intuz |
| Healthcare/logistics agent strategy | Strong | Limited | Intuz |
| Global GenAI consulting programs | Limited | Strong | EPAM Systems |
| Enterprise agent QA and monitoring | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Intuz vs EPAM Systems
Intuz (3.7/5) is the stronger overall choice for most AI Agent projects. Reports 100+ enterprise agent deployments already in production across three named framework stacks. It is best for buyers wanting a documented count of live production agent deployments backing the advisory.
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
Intuz vs EPAM Systems FAQ
Is Intuz better than EPAM Systems?
Intuz (3.7/5) scores higher overall, but "better" depends on your use case. Intuz is better for buyers wanting a documented count of live production agent deployments backing the advisory. EPAM Systems is better for global enterprises wanting the largest publicly traded engineering-consultancy bench in this roster.
How do Intuz and EPAM Systems differ in pricing?
Intuz uses dedicated team, fixed project pricing with a minimum engagement of $20K. 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: Intuz 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 Intuz and EPAM Systems?
Intuz's primary differentiator is: reports 100+ enterprise agent deployments already in production across three named framework stacks. 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 (51-200 vs 60000+), minimum engagement ($20K vs $150K), and primary industries served (Healthcare, E-commerce vs Fintech, Retail).