Infosys vs 10Clouds: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of 10Clouds (3.8/5) overall. Infosys is the better choice for global enterprises needing AI advisory inside a full IT services contract. 10Clouds is the stronger option for product teams wanting AI strategy folded into UX and design. The right choice depends on your project size, budget, and required tech stack.
Infosys vs 10Clouds: head-to-head summary
| Criterion | Infosys | 10Clouds |
|---|---|---|
| Founded | 1981 | 2009 |
| HQ | Bengaluru, India | Warsaw, Poland |
| Team size | 330,000+ | 51-200 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | One of the world's largest IT services firms with a dedicated London-based advisory arm | AI advisory treated as one integrated capability inside full product design |
| Pricing model | Retainer, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, React, Node.js |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Telecom | Fintech, Healthcare, Retail & e-commerce |
Infosys vs 10Clouds: overview
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. It runs a full suite of enterprise AI advisory services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and headquartered in London, adds a dedicated strategy arm separate from the parent's much larger delivery organization.
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 agency's core business is digital product consultancy, web and mobile development, and UX design, with AI advisory treated as an integrated capability rather than a standalone service line.
Services and capabilities: Infosys vs 10Clouds
| Capability | Infosys | 10Clouds |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs 10Clouds
| Framework / platform | Infosys | 10Clouds |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs 10Clouds
| Criterion | Infosys | 10Clouds |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Infosys vs 10Clouds
| Dimension | Infosys | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Running an AI advisory initiative as part of a much larger enterprise IT services contract., Needing a globally recognized agency for board-level procurement approval. | Getting AI strategy input at the same time a product's UX gets redesigned., Adding AI advisory to an existing web or mobile product roadmap. |
| Typical project type | Retainer | Fixed project |
Infosys vs 10Clouds: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale, 330,000-plus employees, supports the largest enterprise AI programs. |
| + | The dedicated Infosys Consulting subsidiary adds a London-based advisory layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Cloud and enterprise software partnerships span multiple platforms, reducing lock-in. |
| - | AI advisory is one part of an enormous general IT services business, not a specialized focus |
| - | Scale generally means slower engagement setup than smaller, more agile agencies |
| 10Clouds | |
|---|---|
| + | A strong product design and UX practice means AI strategy recommendations arrive with real implementation context. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable across the full product stack, not just the AI layer. |
| + | A mid-size team keeps senior engineers involved on most engagements. |
| - | AI advisory sits alongside, not ahead of, the agency's core product design business |
| - | Less AI-specific case-study depth than agencies built around AI from founding |
Who should choose Infosys?
A typical fit: running an AI advisory 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 advisory arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Who should choose 10Clouds?
A typical fit: getting AI strategy input at the same time a product's UX gets redesigned.
AI advisory 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.
Decision matrix: Infosys vs 10Clouds
| 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 | Infosys |
| Your budget is at the lower end | Compare: Infosys (Not disclosed) vs 10Clouds (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: Infosys vs 10Clouds
| Use case | Infosys fit | 10Clouds fit | Winner |
|---|---|---|---|
| Running an AI advisory initiative as part of a much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized agency for board-level procurement approval. | Strong | Limited | Infosys |
| Getting AI strategy input at the same time a product's UX gets redesigned. | Limited | Strong | 10Clouds |
| Adding AI advisory to an existing web or mobile product roadmap. | Limited | Strong | 10Clouds |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Infosys vs 10Clouds
Infosys (4.0/5) is the stronger overall choice for most AI Consulting projects. One of the world's largest IT services firms with a dedicated London-based advisory arm.
10Clouds (3.8/5) is worth a look if you need adding AI advisory to an existing web or mobile product roadmap. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
Infosys vs 10Clouds FAQ
Is Infosys better than 10Clouds?
Infosys (4.0/5) scores higher overall, but "better" depends on your use case. Infosys's strongest advantage: massive global scale, 330,000-plus employees, supports the largest enterprise AI programs. 10Clouds's strongest advantage: a strong product design and UX practice means AI strategy recommendations arrive with real implementation context.
How do Infosys and 10Clouds differ in pricing?
Infosys uses retainer, enterprise contracting pricing. 10Clouds 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: Infosys or 10Clouds?
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 agency before shortlisting.
What are the main differences between Infosys and 10Clouds?
Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based advisory arm. 10Clouds's primary differentiator is: AI advisory treated as one integrated capability inside full product design. They also differ in team size (330,000+ vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.