EPAM Systems vs 10Clouds: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of 10Clouds (3.8/5) overall. EPAM Systems is the better choice for enterprises adding AI across many products. 10Clouds is the stronger option for smaller banks and lenders adding AI. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
EPAM Systems vs 10Clouds: head-to-head summary
| Criterion | EPAM Systems | 10Clouds |
|---|---|---|
| Founded | 1993 | 2009 |
| HQ | Newtown, USA | Warsaw, Poland |
| Team size | 61,000+ | ~200 |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | Engineering capacity to put AI into dozens of products under one program | A dedicated financial-institutions AI unit with its own AIConsole platform |
| Pricing model | Time & materials and dedicated teams; rates not published | Project and team pricing; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Google Cloud | AWS, Azure, OpenAI |
| Industries served | Financial services, Healthcare, Retail, Media, Manufacturing | Banking, Fintech, Insurance, Healthcare |
EPAM Systems vs 10Clouds: overview
EPAM Systems
EPAM Systems was founded in 1993, is headquartered in Newtown, Pennsylvania, and employs more than 61,000 people. It bought NEORIS and First Derivative in recent years to expand in Latin America and financial services. Its AI work sits inside a large software engineering business, so production AI usually arrives as part of a broader platform or product program. That suits enterprises with many products more than a company with one stalled pilot.
10Clouds
10Clouds was founded in Warsaw in 2009 and has around 200 people across Warsaw, Wrocław, and Poznań. It set up a separate company, 10Clouds Financial Institutions, to build AI operations for banks and lenders, and it has its own AI platform called AIConsole. Most of its history is custom software and blockchain work, with AI the newest focus.
Services and capabilities: EPAM Systems vs 10Clouds
| Capability | EPAM Systems | 10Clouds |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✗ | ✗ |
| Canary or staged rollout | ✗ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✓ | ✗ |
| Fixed-scope pilot | ✗ | ✗ |
| Managed run after launch | ✓ | ✗ |
Tech stack comparison: EPAM Systems vs 10Clouds
| Framework / platform | EPAM Systems | 10Clouds |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | N/A | N/A |
| Snowflake | ✓ | N/A |
Pricing comparison: EPAM Systems vs 10Clouds
| Criterion | EPAM Systems | 10Clouds |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team, Managed services | Fixed-scope project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs 10Clouds
| Dimension | EPAM Systems | 10Clouds |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail | Banking, Fintech, Insurance |
| Best use cases | AI across a portfolio of enterprise products., Production AI in banking platforms. | AI-assisted operations at a smaller bank or lender., Customer service assistants in fintech. |
| Typical project type | Time & materials | Fixed-scope project |
EPAM Systems vs 10Clouds: pros and cons
| EPAM Systems | |
|---|---|
| + | Very large engineering bench |
| + | Strong software delivery practice to build on |
| + | Financial-services depth added through First Derivative |
| + | Can run systems after launch |
| - | Recent acquisitions (NEORIS, First Derivative) are still being absorbed |
| - | Too large and slow for one small pilot |
| - | Rates not published |
| 10Clouds | |
|---|---|
| + | Dedicated unit for banks and lenders |
| + | Own AI platform to start from |
| + | Nearshore rates |
| - | AI is a recent focus for the firm |
| - | Small team for large programs |
| - | Little public detail on monitoring or rollout practice |
Who should choose EPAM Systems?
A typical fit: AI across a portfolio of enterprise products.
Engineering capacity to put AI into dozens of products under one program. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Media, Manufacturing.
Who should choose 10Clouds?
A typical fit: AI-assisted operations at a smaller bank or lender.
A dedicated financial-institutions AI unit with its own AIConsole platform. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Fintech, Insurance, Healthcare.
Decision matrix: EPAM Systems vs 10Clouds
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Ask each for its release and rollback process |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | EPAM Systems |
| You run classic ML models that need serving and retraining | EPAM Systems |
| You want a priced pilot before a full rollout | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs 10Clouds (Not disclosed) |
| You need a large team for many products at once | EPAM Systems |
Use case fit: EPAM Systems vs 10Clouds
| Use case | EPAM Systems fit | 10Clouds fit | Winner |
|---|---|---|---|
| AI across a portfolio of enterprise products. | Strong | Limited | EPAM Systems |
| Production AI in banking platforms. | Strong | Limited | EPAM Systems |
| AI-assisted operations at a smaller bank or lender. | Limited | Strong | 10Clouds |
| Customer service assistants in fintech. | Limited | Strong | 10Clouds |
Verdict: EPAM Systems vs 10Clouds
EPAM Systems (4.1/5) is the stronger overall choice for most AI Implementation projects. Engineering capacity to put AI into dozens of products under one program.
10Clouds (3.8/5) is worth a look if you need customer service assistants in fintech. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
EPAM Systems vs 10Clouds FAQ
Is EPAM Systems better than 10Clouds?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: very large engineering bench. 10Clouds's strongest advantage: dedicated unit for banks and lenders.
How do EPAM Systems and 10Clouds differ in pricing?
EPAM Systems's pricing: time & materials and dedicated teams; rates not published. 10Clouds's pricing: project and team pricing; 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 10Clouds?
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 10Clouds?
EPAM Systems's primary differentiator is: engineering capacity to put AI into dozens of products under one program. 10Clouds's primary differentiator is: a dedicated financial-institutions AI unit with its own AIConsole platform. 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 Banking, Fintech).
Verify all details directly with each provider before making a decision.