EPAM Systems vs Persistent Systems: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Persistent Systems (4.0/5) overall. EPAM Systems is the better choice for enterprises with multi-year engineering budgets. Persistent Systems is the stronger option for cost-conscious enterprises with offshore teams. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Persistent Systems: head-to-head summary
| Criterion | EPAM Systems | Persistent Systems |
|---|---|---|
| Founded | 1993 | 1990 |
| HQ | Newtown, PA, USA | Pune, India |
| Team size | 61,000+ | 28,600+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Engineering capacity across Europe, India, and the Americas for long AI programs | Offshore engineering scale with its own gen-AI delivery platform |
| Pricing model | Time & materials and dedicated teams; rates on request | Time & materials and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, Databricks | Salesforce, Azure OpenAI, AWS Bedrock |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media, Energy | Healthcare, Financial services, Telecom, Manufacturing |
EPAM Systems vs Persistent Systems: overview
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with over 61,200 employees at the end of 2025. Acquisitions shaped the recent mix: NEORIS (2024) for Latin America and Iberia, and First Derivative (completed December 2024) for financial-services data. Management targets more than $600 million of AI-native revenue in 2026, after reporting over $105 million in Q4 2025. Its AI/Run tooling and Agentic QA product support large engineering programs more than single-workflow pilots.
Persistent Systems
Persistent Systems is a Pune-based software engineering company founded in 1990, with 28,640 employees as of June 2026, most of them in India. It built SASVA, an in-house generative AI platform for software delivery, and has filed 35 patents around it (per company annual report). Its staff hold more than 1,000 Salesforce AI Associate credentials, and it partners with Microsoft, AWS, and Google Cloud. Revenue grew for its 25th straight quarter in Q1 FY27.
Services and capabilities: EPAM Systems vs Persistent Systems
| Capability | EPAM Systems | Persistent Systems |
|---|---|---|
| CRM / ERP integration | ✓ | ✓ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✗ |
| Agentic workflows | ✓ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✗ |
Tech stack comparison: EPAM Systems vs Persistent Systems
| Framework / platform | EPAM Systems | Persistent Systems |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: EPAM Systems vs Persistent Systems
| Criterion | EPAM Systems | Persistent Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team, Managed services | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Persistent Systems
| Dimension | EPAM Systems | Persistent Systems |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Healthcare, Financial services, Telecom |
| Best use cases | Large data-platform programs that end in AI features, Agent development across several business units | Offshore Salesforce AI implementation teams, Healthcare data integrations ahead of AI features |
| Typical project type | Time & materials | Time & materials |
EPAM Systems vs Persistent Systems: pros and cons
| EPAM Systems | |
|---|---|
| + | Engineering depth to staff many workstreams at once. |
| + | Public reporting on AI-native revenue gives a measurable view of the practice. |
| + | First Derivative added capital-markets data skills. |
| + | Agentic QA product addresses testing of AI-generated code. |
| - | Acquisition-driven growth (NEORIS, First Derivative) means teams are still being integrated |
| - | Not built for a small fixed-price pilot |
| - | Management flagged slower organic growth in 2026 guidance |
| Persistent Systems | |
|---|---|
| + | Lower blended rates than U.S. or European integrators of similar size. |
| + | More than 1,000 Salesforce AI credentials across the staff. |
| + | SASVA platform aims to speed up delivery of the integration code itself. |
| + | Steady financial track record. |
| - | Mostly India-based delivery, with limited overlap for U.S. West Coast teams |
| - | Little visible packaging for a fixed-price pilot |
| - | Generalist engineering firm; AI integration is one of many lines |
Who should choose EPAM Systems?
A typical fit: large data-platform programs that end in AI features.
Engineering capacity across Europe, India, and the Americas for long AI programs. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media, Energy.
Who should choose Persistent Systems?
A typical fit: offshore Salesforce AI implementation teams.
Offshore engineering scale with its own gen-AI delivery platform. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Telecom, Manufacturing.
Decision matrix: EPAM Systems vs Persistent Systems
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | EPAM Systems |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs Persistent Systems (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Both have CRM or ERP integration work |
| You need multi-step agents acting across systems | EPAM Systems |
| You need a large team for a multi-year program | EPAM Systems |
Use case fit: EPAM Systems vs Persistent Systems
| Use case | EPAM Systems fit | Persistent Systems fit | Winner |
|---|---|---|---|
| Large data-platform programs that end in AI features | Strong | Limited | EPAM Systems |
| Agent development across several business units | Strong | Limited | EPAM Systems |
| Offshore Salesforce AI implementation teams | Limited | Strong | Persistent Systems |
| Healthcare data integrations ahead of AI features | Limited | Strong | Persistent Systems |
Verdict: EPAM Systems vs Persistent Systems
EPAM Systems (4.1/5) is the stronger overall choice for most AI Integration Services projects. Engineering capacity across Europe, India, and the Americas for long AI programs.
Persistent Systems (4.0/5) is worth a look if you need healthcare data integrations ahead of AI features. If your situation matches that, Persistent Systems is a competitive option.
Related comparisons
EPAM Systems vs Persistent Systems FAQ
Is EPAM Systems better than Persistent Systems?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: engineering depth to staff many workstreams at once. Persistent Systems's strongest advantage: lower blended rates than U.S. or European integrators of similar size.
How do EPAM Systems and Persistent Systems differ in pricing?
EPAM Systems's pricing: time & materials and dedicated teams; rates on request. Persistent Systems's pricing: time & materials and dedicated teams; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: EPAM Systems or Persistent 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 provider before shortlisting.
What are the main differences between EPAM Systems and Persistent Systems?
EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. Persistent Systems's primary differentiator is: offshore engineering scale with its own gen-AI delivery platform. They also differ in team size (61,000+ vs 28,600+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.