10Clouds vs Cleveroad: full comparison for 2026
Quick verdict
10Clouds (4.0/5) edges ahead of Cleveroad (4.0/5) overall. 10Clouds is the better choice for product teams wanting AI folded into UX and design work. Cleveroad is the stronger option for startups needing AI features inside a mobile or web product. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs Cleveroad: head-to-head summary
| Criterion | 10Clouds | Cleveroad |
|---|---|---|
| Founded | 2009 | 2011 |
| HQ | Warsaw, Poland | Krakow, Poland |
| Team size | 51-200 | 113-200 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | AI treated as one integrated capability inside full product design and development | Production-deployment discipline carried over from a decade of mobile and web delivery |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, React, Node.js | Python, React Native, AWS |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, Healthcare, Logistics |
10Clouds vs Cleveroad: overview
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.
Cleveroad
Cleveroad was founded in 2011, and public sources disagree on headquarters, with LinkedIn listing Claymont, Delaware and other trackers pointing to Krakow, Poland as the operational base. Employee estimates likewise vary, from roughly 113 up to a LinkedIn-reported 201-500 range. The company's roots are in mobile and web development for startups and enterprise clients, with safe, production-grade AI deployment positioned as a newer strength built on top of that existing delivery discipline.
Services and capabilities: 10Clouds vs Cleveroad
| Capability | 10Clouds | Cleveroad |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: 10Clouds vs Cleveroad
| Framework / platform | 10Clouds | Cleveroad |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: 10Clouds vs Cleveroad
| Criterion | 10Clouds | Cleveroad |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: 10Clouds vs Cleveroad
| Dimension | 10Clouds | Cleveroad |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, Healthcare, Logistics |
| Best use cases | 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. | Adding AI features to a mobile app already in production., Getting a startup MVP built with AI as one feature among several, not the entire product. |
| Typical project type | Fixed project | Fixed project |
10Clouds vs Cleveroad: pros and cons
| 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 |
| Cleveroad | |
|---|---|
| + | Mobile and web development roots translate into disciplined production deployment practices. |
| + | Over a decade of delivery history across startup and enterprise clients. |
| + | Operates across four continents, giving flexible timezone coverage. |
| + | AI positioned as an addition to, not a replacement for, established product delivery skills. |
| - | Headquarters and employee count are reported inconsistently across public sources |
| - | AI-specific case studies are less prominent than the firm's mobile and web development portfolio |
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.
Who should choose Cleveroad?
A typical fit: adding AI features to a mobile app already in production.
Production-deployment discipline carried over from a decade of mobile and web delivery. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Logistics.
Decision matrix: 10Clouds vs Cleveroad
| 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 Cleveroad (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 | Both may offer discovery engagements |
Use case fit: 10Clouds vs Cleveroad
| Use case | 10Clouds fit | Cleveroad fit | Winner |
|---|---|---|---|
| Redesigning a product's UX at the same time an AI feature gets built into it. | Strong | Limited | 10Clouds |
| Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. | Strong | Strong | Both equally |
| Adding AI features to a mobile app already in production. | Strong | Strong | Both equally |
| Getting a startup MVP built with AI as one feature among several, not the entire product. | Limited | Strong | Cleveroad |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Clouds vs Cleveroad
10Clouds (4.0/5) is the stronger overall choice for most AI Development projects. AI treated as one integrated capability inside full product design and development.
Cleveroad (4.0/5) is worth a look if you need getting a startup MVP built with AI as one feature among several, not the entire product. If your situation matches that, Cleveroad is a competitive option.
Related comparisons
10Clouds vs Cleveroad FAQ
Is 10Clouds better than Cleveroad?
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 AI features arrive inside a polished product, not a bare API integration. Cleveroad's strongest advantage: mobile and web development roots translate into disciplined production deployment practices.
How do 10Clouds and Cleveroad differ in pricing?
10Clouds uses fixed project or dedicated team pricing. Cleveroad 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: 10Clouds or Cleveroad?
Cleveroad 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 Cleveroad?
10Clouds's primary differentiator is: AI treated as one integrated capability inside full product design and development. Cleveroad's primary differentiator is: production-deployment discipline carried over from a decade of mobile and web delivery. They also differ in team size (51-200 vs 113-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Retail & e-commerce, Healthcare).
Verify all details directly with each company before making a decision.