Persistent Systems vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Persistent Systems (3.8/5) edges ahead of EPAM Systems (3.8/5) overall. Persistent Systems is the better choice for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. EPAM Systems is the stronger option for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. The right choice depends on your project size, budget, and required tech stack.
Persistent Systems vs EPAM Systems: head-to-head summary
| Criterion | Persistent Systems | EPAM Systems |
|---|---|---|
| Founded | 1990 | 1993 |
| HQ | Pune, India | Newtown, Pennsylvania, USA |
| Team size | 10,000+ | 10,000+ |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Best for | Very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate. | The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner. |
| Pricing model | Managed services and fixed project | Managed services and fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, EPAM DIAL, Azure OpenAI |
| Industries served | Financial Services, Healthcare, Technology/SaaS, Government | Financial Services, Healthcare, Retail, Technology/SaaS, Government |
Persistent Systems vs EPAM Systems: overview
Persistent Systems
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
EPAM Systems
EPAM Systems is a global digital engineering company founded in 1993 by Arkadiy Dobkin and Leo Lozner, listed on the NYSE since 2012, with approximately 62,850 employees as of end of 2025. The company has built a proprietary AI orchestration platform, EPAM DIAL, for managing large language models in production, but AI/ML delivery represents one part of an enormous, broadly diversified enterprise engineering portfolio.
Services and capabilities: Persistent Systems vs EPAM Systems
| Capability | Persistent Systems | EPAM Systems |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✓ |
| MLOps & production deployment | ✗ | ✓ |
| Data engineering | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Persistent Systems vs EPAM Systems
| Framework / platform | Persistent Systems | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Persistent Systems vs EPAM Systems
| Criterion | Persistent Systems | EPAM Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Managed services, Fixed project, Staff augmentation | Managed services, Fixed project, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: Persistent Systems vs EPAM Systems
| Dimension | Persistent Systems | EPAM Systems |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial Services, Healthcare, Technology/SaaS | Financial Services, Healthcare, Retail |
| Best use cases | Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor, Very large, multi-year digital transformation programs where AI is one workstream among many | Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support, Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform |
| Typical project type | Managed services | Managed services |
Persistent Systems vs EPAM Systems: pros and cons
| Persistent Systems | |
|---|---|
| + | 35 years of operating history and one of the largest headcounts on this list (24,000+) |
| + | AI capability delivered alongside a company's existing broader IT services relationship, reducing vendor sprawl |
| + | 16,000+ AI-trained staff cited internally, suggesting significant AI upskilling investment (per company website) |
| + | Public-company scale supports very large, multi-year enterprise transformation programs |
| - | AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus |
| - | Buyers seeking cutting-edge ML specialization may find deeper expertise at AI-first boutiques on this list |
| - | Very large organization can mean slower response times and more layered account management than smaller firms |
| EPAM Systems | |
|---|---|
| + | Largest, most globally distributed team on this list, supporting essentially unlimited program scale |
| + | NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here |
| + | Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment |
| + | 32 years of continuous operation across more than 55 countries |
| - | AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| - | Scale of the organization can translate into higher account-management overhead for smaller engagements |
| - | Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
Who should choose Persistent Systems?
Persistent Systems is the right choice for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Technology/SaaS, Government.
Who should choose EPAM Systems?
EPAM Systems is the right choice for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL).. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government.
Decision matrix: Persistent Systems vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Persistent Systems |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Persistent Systems (Not published) vs EPAM Systems (Not published) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Persistent Systems |
| You need consulting before committing to a build | Persistent Systems |
Use case fit: Persistent Systems vs EPAM Systems
| Use case | Persistent Systems fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Strong | Strong | Both equally |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Strong | Limited | Persistent Systems |
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Limited | Strong | EPAM Systems |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Persistent Systems vs EPAM Systems
Persistent Systems (3.8/5) is the stronger overall choice for most Machine Learning Development projects. Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty.. It is best for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
EPAM Systems (3.8/5) is the better choice when the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Persistent Systems vs EPAM Systems FAQ
Is Persistent Systems better than EPAM Systems?
Persistent Systems (3.8/5) scores higher overall, but "better" depends on your use case. Persistent Systems is better for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. EPAM Systems is better for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
How do Persistent Systems and EPAM Systems differ in pricing?
Persistent Systems uses managed services and fixed project pricing with a minimum engagement of Not published. EPAM Systems uses managed services and fixed project pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Persistent Systems or EPAM Systems?
Persistent 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 agency before shortlisting.
What are the main differences between Persistent Systems and EPAM Systems?
Persistent Systems's primary differentiator is: enterprise-wide scale (24,000+ employees) supporting ai/ml as part of a full it services portfolio, not a standalone specialty.. EPAM Systems's primary differentiator is: largest headcount on this list (62,000+) with nyse-listed financial transparency and a proprietary llm orchestration platform (epam dial).. They also differ in team size (10,000+ vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.