10Clouds vs Andersen: full comparison for 2026
Quick verdict
Andersen (4.1/5) edges ahead of 10Clouds (4.0/5) overall. Andersen is the better choice for enterprises wanting generative AI paired with broad platform engineering. 10Clouds is the stronger option for product teams wanting generative AI folded into UX and design. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs Andersen: head-to-head summary
| Criterion | 10Clouds | Andersen |
|---|---|---|
| Founded | 2009 | 2007 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 51-200 | 3,500+ |
| Rating | 4.0 / 5 | 4.1 / 5 |
| Primary differentiator | Generative AI treated as one integrated capability inside full product design | 3,500-plus specialists across 20 global offices with a named AI and data practice |
| 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, .NET |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Logistics, Automotive |
10Clouds vs Andersen: 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.
Andersen
Andersen was founded in 2007 and lists its headquarters in Warsaw, Poland, with more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice covers generative AI consulting, machine learning, data engineering, and robotic process integration, alongside a broader stack spanning .NET, Java, Python, PHP, and Go. Industries served include financial services, healthcare, logistics, automotive, and media.
Services and capabilities: 10Clouds vs Andersen
| Capability | 10Clouds | Andersen |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: 10Clouds vs Andersen
| Framework / platform | 10Clouds | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: 10Clouds vs Andersen
| Criterion | 10Clouds | Andersen |
|---|---|---|
| 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 Andersen
| Dimension | 10Clouds | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Logistics |
| 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 that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside a generative AI project. |
| Typical project type | Fixed project | Dedicated team |
10Clouds vs Andersen: 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 |
| Andersen | |
|---|---|
| + | Large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. |
| + | Named AI and data practice, not a generic add-on to broader software services. |
| + | Nearly two decades of software delivery history across multiple technology stacks. |
| + | Vertical coverage spans financial services, healthcare, logistics, and automotive. |
| - | Generative AI is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than boutique firms |
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 Andersen?
A typical fit: running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI and data practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.
Decision matrix: 10Clouds vs Andersen
| 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 Andersen (Not disclosed) |
| You need specialist depth in a specific vertical | Andersen |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Andersen |
Use case fit: 10Clouds vs Andersen
| Use case | 10Clouds fit | Andersen 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 | Strong | Both equally |
| Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside a generative AI project. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Clouds vs Andersen
Andersen (4.1/5) is the stronger overall choice for most Generative AI Development projects. 3,500-plus specialists across 20 global offices with a named AI and data practice.
10Clouds (4.0/5) is worth a look if you need adding generative AI to an existing web or mobile product without hiring a separate vendor. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
10Clouds vs Andersen FAQ
Is 10Clouds better than Andersen?
Andersen (4.1/5) 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. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs.
How do 10Clouds and Andersen differ in pricing?
10Clouds uses fixed project or dedicated team pricing. Andersen 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 Andersen?
10Clouds 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 Andersen?
10Clouds's primary differentiator is: generative AI treated as one integrated capability inside full product design. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI and data practice. They also differ in team size (51-200 vs 3,500+), 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.