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 AI folded into UX and design work. Infosys is the stronger option for global enterprises needing 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 | AI treated as one integrated capability inside full product design and development | 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, React, Node.js | Python, AWS, Azure |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Financial services, Manufacturing, Retail & e-commerce, Telecom |
10Clouds vs Infosys: 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.
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 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 and consulting layer on top. At this scale, AI development is one thread inside one of the world's largest IT services organizations rather than a boutique specialty.
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 | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | 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 an AI feature gets built into it., Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. | Running an 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 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 |
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise 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. |
| - | 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 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 Infosys?
A typical fit: running an 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 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 | Limited | 10Clouds |
| Running an 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 AI Development projects. AI treated as one integrated capability inside full product design and development.
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 AI features arrive inside a polished product, not a bare API integration. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise 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: AI treated as one integrated capability inside full product design and development. 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.