10Clouds vs Exadel: full comparison for 2026
Quick verdict
10Clouds (4.0/5) edges ahead of Exadel (3.9/5) overall. 10Clouds is the better choice for product teams wanting generative AI folded into UX and design. Exadel is the stronger option for enterprises wanting generative AI as part of a broader digital consultancy. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs Exadel: head-to-head summary
| Criterion | 10Clouds | Exadel |
|---|---|---|
| Founded | 2009 | 1998 |
| HQ | Warsaw, Poland | Walnut Creek, United States |
| Team size | 51-200 | 1,001-5,000 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Generative AI treated as one integrated capability inside full product design | Over 25 years of enterprise technology consulting history predating most AI-focused competitors |
| Pricing model | Fixed project or dedicated team | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, React | Python, OpenAI API, AWS |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce |
10Clouds vs Exadel: overview
10Clouds
10Clouds has run out of Warsaw, Poland since 2009, with a headcount reported around 176 as of mid-2024 against a wider LinkedIn range of 51-200. The firm's core business is digital product consultancy, web and mobile development, and UX design, with generative AI treated as an integrated capability rather than a standalone service line. That framing suits clients who want generative AI embedded into a product experience someone else is also designing.
Exadel
Exadel was founded in 1998 and is headquartered in Walnut Creek, California, with a reported headcount between 1,001 and 5,000 employees. The firm lists AI and data management as one of five core service areas alongside strategy consulting, digital experience, digital products, and managed services, reflecting a broad technology consultancy rather than a generative-AI-only specialist. Over 25 years of operating history gives it a longer track record than most firms on this list.
Services and capabilities: 10Clouds vs Exadel
| Capability | 10Clouds | Exadel |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: 10Clouds vs Exadel
| Framework / platform | 10Clouds | Exadel |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: 10Clouds vs Exadel
| Criterion | 10Clouds | Exadel |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: 10Clouds vs Exadel
| Dimension | 10Clouds | Exadel |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Redesigning a product's UX at the same time a generative AI feature gets built into it., Adding generative AI to an existing web or mobile product without hiring a separate vendor. | Running a generative AI initiative as part of a broader digital transformation consulting engagement., Working with a long-established US vendor for a large, multi-year technology program. |
| Typical project type | Fixed project | Dedicated team |
10Clouds vs Exadel: pros and cons
| 10Clouds | |
|---|---|
| + | Strong product design and UX practice means generative AI features arrive inside a polished product. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable across the full product stack, not just the AI layer. |
| + | Mid-size team keeps senior engineers involved on most engagements. |
| - | Generative AI sits alongside, not ahead of, the firm's core product design business |
| - | Less AI-specific case-study depth than agencies built around AI from founding |
| Exadel | |
|---|---|
| + | Over 25 years of enterprise technology consulting history, among the longest on this list. |
| + | 1,000-plus employees support mid-to-large enterprise engagements. |
| + | AI and data management is one of five named core practices, not a marketing add-on. |
| + | California headquarters simplifies contracting for US enterprise buyers. |
| - | Generative AI sits within a broader technology consulting practice rather than as a standalone specialty |
| - | Less AI-specific public case-study depth than boutique AI firms on this list |
Who should choose 10Clouds?
A typical fit: redesigning a product's UX at the same time a generative AI feature gets built into it.
Generative AI treated as one integrated capability inside full product design. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Who should choose Exadel?
A typical fit: running a generative AI initiative as part of a broader digital transformation consulting engagement.
Over 25 years of enterprise technology consulting history predating most AI-focused competitors. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce.
Decision matrix: 10Clouds vs Exadel
| 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 | 10Clouds |
| Your budget is at the lower end | Compare: 10Clouds (Not disclosed) vs Exadel (Not disclosed) |
| You need specialist depth in a specific vertical | 10Clouds |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Exadel |
Use case fit: 10Clouds vs Exadel
| Use case | 10Clouds fit | Exadel fit | Winner |
|---|---|---|---|
| Redesigning a product's UX at the same time a generative AI feature gets built into it. | Strong | Limited | 10Clouds |
| Adding generative AI to an existing web or mobile product without hiring a separate vendor. | Strong | Limited | 10Clouds |
| Running a generative AI initiative as part of a broader digital transformation consulting engagement. | Strong | Strong | Both equally |
| Working with a long-established US vendor for a large, multi-year technology program. | Limited | Strong | Exadel |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Clouds vs Exadel
10Clouds (4.0/5) is the stronger overall choice for most Generative AI Development projects. Generative AI treated as one integrated capability inside full product design.
Exadel (3.9/5) is worth a look if you need working with a long-established US vendor for a large, multi-year technology program. If your situation matches that, Exadel is a competitive option.
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10Clouds vs Exadel FAQ
Is 10Clouds better than Exadel?
10Clouds (4.0/5) scores higher overall, but "better" depends on your use case. 10Clouds's strongest advantage: strong product design and UX practice means generative AI features arrive inside a polished product. Exadel's strongest advantage: over 25 years of enterprise technology consulting history, among the longest on this list.
How do 10Clouds and Exadel differ in pricing?
10Clouds uses fixed project or dedicated team pricing. Exadel uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: 10Clouds or Exadel?
Exadel 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 10Clouds and Exadel?
10Clouds's primary differentiator is: generative AI treated as one integrated capability inside full product design. Exadel's primary differentiator is: over 25 years of enterprise technology consulting history predating most AI-focused competitors. They also differ in team size (51-200 vs 1,001-5,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.