EPAM Systems vs 10Clouds: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of 10Clouds (4.0/5) overall. EPAM Systems is the better choice for fortune 500 buyers needing AI at global engineering scale. 10Clouds is the stronger option for product teams wanting AI folded into UX and design work. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs 10Clouds: head-to-head summary
| Criterion | EPAM Systems | 10Clouds |
|---|---|---|
| Founded | 1993 | 2009 |
| HQ | Newtown, United States | Warsaw, Poland |
| Team size | 62,000+ | 51-200 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice | AI treated as one integrated capability inside full product design and development |
| Pricing model | Retainer or dedicated team, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, React, Node.js |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Fintech, Healthcare, Retail & e-commerce |
EPAM Systems vs 10Clouds: overview
EPAM Systems
EPAM Systems was founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the New York Stock Exchange since 2012 as a member of the S&P 500. The company employed roughly 62,850 people across more than 55 countries at the end of 2025, which puts it in a different capacity class from every other firm on this list. EPAM markets itself as a leader in AI transformation engineering, and its scale means AI work is one part of a much larger digital engineering and cloud transformation business rather than the whole of it.
10Clouds
10Clouds was founded in 2009 and is based in Warsaw, Poland, with a headcount reported around 176 as of mid-2024 against a LinkedIn range of 51-200. The firm's core business is digital product consultancy, covering web and mobile development, UX and product design, with blockchain, AI, and machine learning integrated as capabilities rather than standalone offerings. That framing suits clients who want AI embedded into a product experience someone else is also designing and building.
Services and capabilities: EPAM Systems vs 10Clouds
| Capability | EPAM Systems | 10Clouds |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs 10Clouds
| Framework / platform | EPAM Systems | 10Clouds |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: EPAM Systems vs 10Clouds
| Criterion | EPAM Systems | 10Clouds |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Fixed 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 | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Running an AI transformation program that spans multiple business units at once., Needing a publicly-traded vendor for procurement or audit reasons. | Redesigning a product's UX at the same time an AI feature gets built into it., Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. |
| Typical project type | Dedicated team | Fixed project |
EPAM Systems vs 10Clouds: pros and cons
| EPAM Systems | |
|---|---|
| + | Public-company financial transparency and stability that private firms on this list can't match. |
| + | Scale to staff multiple large AI programs across regions simultaneously. |
| + | S&P 500 membership signals enterprise procurement teams can vet it through standard due diligence. |
| + | Cloud partnerships span all three major hyperscalers. |
| - | AI is one line of business inside a much larger engineering firm, not a dedicated specialty |
| - | Enterprise scale typically means longer sales cycles and higher minimum engagement sizes than boutiques |
| 10Clouds | |
|---|---|
| + | Strong product design and UX practice means AI features arrive inside a polished product, not a bare API integration. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable working across the full product stack, not just the AI layer. |
| + | Mid-size team keeps senior engineers involved in most engagements. |
| - | AI and machine learning sit alongside, not ahead of, the firm's core product design business |
| - | Less AI-specific case-study depth than firms built around AI from founding |
Who should choose EPAM Systems?
A typical fit: running an AI transformation program that spans multiple business units at once.
Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Who should choose 10Clouds?
A typical fit: redesigning a product's UX at the same time an AI feature gets built into it.
AI treated as one integrated capability inside full product design and development. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Decision matrix: EPAM Systems vs 10Clouds
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | 10Clouds |
| You need a large dedicated team for an ongoing programme | EPAM Systems |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: EPAM Systems vs 10Clouds
| Use case | EPAM Systems fit | 10Clouds fit | Winner |
|---|---|---|---|
| Running an AI transformation program that spans multiple business units at once. | Strong | Strong | Both equally |
| Needing a publicly-traded vendor for procurement or audit reasons. | Strong | Limited | EPAM Systems |
| Redesigning a product's UX at the same time an AI feature gets built into it. | Limited | Strong | 10Clouds |
| Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. | Limited | Strong | 10Clouds |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs 10Clouds
EPAM Systems (4.1/5) is the stronger overall choice for most AI Development projects. Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice.
10Clouds (4.0/5) is worth a look if you need adding machine learning to an existing web or mobile product without hiring a separate AI vendor. 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: public-company financial transparency and stability that private firms on this list can't match. 10Clouds's strongest advantage: strong product design and UX practice means AI features arrive inside a polished product, not a bare API integration.
How do EPAM Systems and 10Clouds differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. 10Clouds uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
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 company before shortlisting.
What are the main differences between EPAM Systems and 10Clouds?
EPAM Systems's primary differentiator is: public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. 10Clouds's primary differentiator is: AI treated as one integrated capability inside full product design and development. They also differ in team size (62,000+ vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.