10Clouds vs Infosys: full comparison for 2026
Quick verdict
10Clouds (4.0/5) edges ahead of Infosys (3.9/5) overall. 10Clouds is the better choice for product teams wanting generative AI folded into UX and design. Infosys is the stronger option for global enterprises needing generative AI inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs Infosys: head-to-head summary
| Criterion | 10Clouds | Infosys |
|---|---|---|
| Founded | 2009 | 1981 |
| HQ | Warsaw, Poland | Bengaluru, India |
| Team size | 51-200 | 330,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Generative AI treated as one integrated capability inside full product design | One of the world's largest IT services firms with a dedicated London-based consulting arm |
| Pricing model | Fixed project or dedicated team | Retainer, enterprise contracting |
| 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, Manufacturing, Retail & e-commerce, Telecom |
10Clouds vs Infosys: 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.
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. The company delivers a comprehensive suite of enterprise generative AI development services alongside automation, cybersecurity, and advanced data analytics, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and headquartered in London, adds a dedicated strategy layer on top. At this scale, generative AI development is one thread inside one of the world's largest IT services organizations.
Services and capabilities: 10Clouds vs Infosys
| Capability | 10Clouds | Infosys |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: 10Clouds vs Infosys
| Framework / platform | 10Clouds | Infosys |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: 10Clouds vs Infosys
| Criterion | 10Clouds | Infosys |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: 10Clouds vs Infosys
| Dimension | 10Clouds | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Financial services, Manufacturing, 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 much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. |
| Typical project type | Fixed project | Retainer |
10Clouds vs Infosys: 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 |
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs. |
| + | Dedicated Infosys Consulting subsidiary adds a strategy layer alongside technical delivery. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Broad cloud and enterprise software partnerships reduce platform risk. |
| - | Generative AI is one part of an enormous general IT services business, not a specialized focus |
| - | Scale typically means slower engagement setup than smaller, more agile 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 Infosys?
A typical fit: running a generative AI initiative as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms with a dedicated London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Decision matrix: 10Clouds vs Infosys
| 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 Infosys (Not disclosed) |
| You need specialist depth in a specific vertical | Infosys |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Infosys |
Use case fit: 10Clouds vs Infosys
| Use case | 10Clouds fit | Infosys 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 much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized vendor for board-level procurement approval. | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Clouds vs Infosys
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.
Infosys (3.9/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.
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10Clouds vs Infosys FAQ
Is 10Clouds better than Infosys?
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. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.
How do 10Clouds and Infosys differ in pricing?
10Clouds uses fixed project or dedicated team pricing. Infosys uses retainer, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: 10Clouds or Infosys?
Infosys 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 Infosys?
10Clouds's primary differentiator is: generative AI treated as one integrated capability inside full product design. Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. They also differ in team size (51-200 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Financial services, Manufacturing).
Verify all details directly with each company before making a decision.