EPAM Systems vs LeewayHertz: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of LeewayHertz (3.8/5) overall. EPAM Systems is the better choice for enterprises with multi-year engineering budgets. LeewayHertz is the stronger option for buyers open to a platform-based build. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs LeewayHertz: head-to-head summary
| Criterion | EPAM Systems | LeewayHertz |
|---|---|---|
| Founded | 1993 | 2007 |
| HQ | Newtown, PA, USA | Gurugram, India (U.S. office: San Francisco) |
| Team size | 61,000+ | ~200 |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | Engineering capacity across Europe, India, and the Americas for long AI programs | ZBrain platform for assembling enterprise AI apps |
| Pricing model | Time & materials and dedicated teams; rates on request | Platform licensing plus project fees; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, Databricks | ZBrain, LangChain, Azure OpenAI |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media, Energy | Financial services, Retail & e-commerce, Healthcare, Manufacturing |
EPAM Systems vs LeewayHertz: 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.
LeewayHertz
LeewayHertz was founded in 2007 in Gurugram, India, and keeps a U.S. office in San Francisco, with roughly 150–300 staff. The Hackett Group bought it in September 2024 for $7.8 million, per Hackett's SEC filings, and the two formed a joint venture around its ZBrain enterprise AI platform. It publishes a very large volume of AI content, which inflates its visibility relative to its verifiable delivery record. ZBrain is model-agnostic across the major LLM providers.
Services and capabilities: EPAM Systems vs LeewayHertz
| Capability | EPAM Systems | LeewayHertz |
|---|---|---|
| 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 LeewayHertz
| Framework / platform | EPAM Systems | LeewayHertz |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: EPAM Systems vs LeewayHertz
| Criterion | EPAM Systems | LeewayHertz |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team, Managed services | Fixed-scope project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs LeewayHertz
| Dimension | EPAM Systems | LeewayHertz |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Financial services, Retail & e-commerce, Healthcare |
| Best use cases | Large data-platform programs that end in AI features, Agent development across several business units | Building internal AI apps on ZBrain, Process automation agents for back-office teams |
| Typical project type | Time & materials | Fixed-scope project |
EPAM Systems vs LeewayHertz: 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 |
| LeewayHertz | |
|---|---|
| + | ZBrain gives a starting framework instead of a blank build. |
| + | Backed by a Nasdaq-listed parent after the 2024 deal. |
| + | Works with several model providers. |
| - | Acquired by The Hackett Group in 2024; direction now follows the parent's strategy |
| - | Visibility comes largely from content marketing, not verified case work |
| - | Platform-based delivery can tie clients to ZBrain |
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 LeewayHertz?
A typical fit: building internal AI apps on ZBrain.
ZBrain platform for assembling enterprise AI apps. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail & e-commerce, Healthcare, Manufacturing.
Decision matrix: EPAM Systems vs LeewayHertz
| 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 LeewayHertz (Not disclosed) |
| The AI has to read and write in your CRM or ERP | EPAM Systems |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | EPAM Systems |
Use case fit: EPAM Systems vs LeewayHertz
| Use case | EPAM Systems fit | LeewayHertz 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 |
| Building internal AI apps on ZBrain | Limited | Strong | LeewayHertz |
| Process automation agents for back-office teams | Limited | Strong | LeewayHertz |
Verdict: EPAM Systems vs LeewayHertz
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.
LeewayHertz (3.8/5) is worth a look if you need process automation agents for back-office teams. If your situation matches that, LeewayHertz is a competitive option.
Related comparisons
EPAM Systems vs LeewayHertz FAQ
Is EPAM Systems better than LeewayHertz?
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. LeewayHertz's strongest advantage: ZBrain gives a starting framework instead of a blank build.
How do EPAM Systems and LeewayHertz differ in pricing?
EPAM Systems's pricing: time & materials and dedicated teams; rates on request. LeewayHertz's pricing: platform licensing plus project fees; 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 LeewayHertz?
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 LeewayHertz?
EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. LeewayHertz's primary differentiator is: ZBrain platform for assembling enterprise AI apps. They also differ in team size (61,000+ vs ~200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Retail & e-commerce).
Verify all details directly with each provider before making a decision.