EPAM Systems vs Azumo: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Azumo (4.0/5) overall. EPAM Systems is the better choice for enterprises with multi-year engineering budgets. Azumo is the stronger option for U.S. startups wanting nearshore AI engineers. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Azumo: head-to-head summary
| Criterion | EPAM Systems | Azumo |
|---|---|---|
| Founded | 1993 | 2016 |
| HQ | Newtown, PA, USA | San Francisco, CA, USA |
| Team size | 61,000+ | 80+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Engineering capacity across Europe, India, and the Americas for long AI programs | Latin American engineers working U.S. hours |
| Pricing model | Time & materials and dedicated teams; rates on request | Dedicated teams and time & materials; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, Databricks | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media, Energy | SaaS, Media, Healthcare, Financial services |
EPAM Systems vs Azumo: 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.
Azumo
Azumo is a nearshore software firm based in San Francisco, founded in 2016, with engineers across Latin America. Built In lists 79 employees, while other directories show 201–500, so its size is unclear. The company works on AI, data engineering, cloud, and mobile, and cites more than 350 delivered projects (per G2 profile; independently unverifiable). U.S. companies that want daily overlap with an outside team at nearshore rates are its main buyers.
Services and capabilities: EPAM Systems vs Azumo
| Capability | EPAM Systems | Azumo |
|---|---|---|
| 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 Azumo
| Framework / platform | EPAM Systems | Azumo |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: EPAM Systems vs Azumo
| Criterion | EPAM Systems | Azumo |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team, Managed services | Dedicated team, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Azumo
| Dimension | EPAM Systems | Azumo |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | SaaS, Media, Healthcare |
| Best use cases | Large data-platform programs that end in AI features, Agent development across several business units | Adding a chat assistant to a SaaS product, Extending an in-house team with LLM engineers |
| Typical project type | Time & materials | Dedicated team |
EPAM Systems vs Azumo: 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 |
| Azumo | |
|---|---|
| + | Full time-zone overlap with U.S. clients. |
| + | Nearshore rates below U.S. onshore firms. |
| + | Mixes AI work with the app and data engineering around it. |
| - | Team size is reported anywhere from about 80 to 500 |
| - | No platform partner tiers to verify |
| - | No fixed-price pilot or managed-service offer published |
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 Azumo?
A typical fit: adding a chat assistant to a SaaS product.
Latin American engineers working U.S. hours. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Media, Healthcare, Financial services.
Decision matrix: EPAM Systems vs Azumo
| 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 Azumo (Not disclosed) |
| The AI has to read and write in your CRM or ERP | EPAM Systems |
| 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 Azumo
| Use case | EPAM Systems fit | Azumo 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 |
| Adding a chat assistant to a SaaS product | Limited | Strong | Azumo |
| Extending an in-house team with LLM engineers | Limited | Strong | Azumo |
Verdict: EPAM Systems vs Azumo
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.
Azumo (4.0/5) is worth a look if you need extending an in-house team with LLM engineers. If your situation matches that, Azumo is a competitive option.
Related comparisons
EPAM Systems vs Azumo FAQ
Is EPAM Systems better than Azumo?
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. Azumo's strongest advantage: full time-zone overlap with U.S. clients.
How do EPAM Systems and Azumo differ in pricing?
EPAM Systems's pricing: time & materials and dedicated teams; rates on request. Azumo's pricing: dedicated teams and time & materials; 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 Azumo?
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 Azumo?
EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. Azumo's primary differentiator is: latin American engineers working U.S. hours. They also differ in team size (61,000+ vs 80+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs SaaS, Media).
Verify all details directly with each provider before making a decision.