10Clouds vs X-Team: full comparison for 2026
Quick verdict
10Clouds (4.1/5) edges ahead of X-Team (4.0/5) overall. 10Clouds is the better choice for Banks, insurers and fintechs building AI features. X-Team is the stronger option for media and gaming teams adding long-term remote developers. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs X-Team: head-to-head summary
| Criterion | 10Clouds | X-Team |
|---|---|---|
| Founded | 2009 | 2006 |
| HQ | Warsaw, Poland | Remote (no central office) |
| Team size | 100–200 | 5,000+ developer network |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Financial-services AI focus with Claude partner status | Developer-community model aimed at long placements |
| Pricing model | Time and materials; fixed-term staff augmentation; rates on request | Monthly per developer; squads; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, Claude, OpenAI | Python, TensorFlow, PyTorch |
| Industries served | Fintech, Banking, Insurance, SaaS | Media, Gaming, Education, Fintech |
10Clouds vs X-Team: overview
10Clouds
10Clouds was founded in 2009 in Warsaw by Maciej Cielecki and others, and employs somewhere between 100 and 200 people depending on the source. It keeps an in-house product team and also supplies developers or designers to clients for fixed periods, a model it has used with U.S. clients such as Rippling. In 2026 it announced a merger with 10Clouds Financial Institutions, creating an AI unit for banks, insurers and fintechs, and it is a Select partner in the Claude Partner Network services track.
X-Team
X-Team says it was founded in 2006 and operates as a fully remote company without a central office; one directory lists a 2020 date for its current Australian parent entity. It embeds long-term engineers and squads in client teams and lists clients such as Fox, Riot Games and Kaplan. Its AI developers cover Python, TensorFlow, PyTorch and LLM work, drawn from a pool it puts at more than 5,000 senior developers with retention of about 96–97% (per company website; independently unverifiable).
Services and capabilities: 10Clouds vs X-Team
| Capability | 10Clouds | X-Team |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✗ |
| AI agent development | ✓ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: 10Clouds vs X-Team
| Framework / platform | 10Clouds | X-Team |
|---|---|---|
| PyTorch | N/A | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: 10Clouds vs X-Team
| Criterion | 10Clouds | X-Team |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: 10Clouds vs X-Team
| Dimension | 10Clouds | X-Team |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Banking, Insurance | Media, Gaming, Education |
| Best use cases | Adding an agent developer to a bank's internal automation team, Staffing an LLM engineer for an insurer's claims product | Adding a Python ML developer to a media company's product team, Long-term squad for a gaming platform with recommendation features |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
10Clouds vs X-Team: pros and cons
| 10Clouds | |
|---|---|
| + | Clear industry focus on regulated financial services |
| + | Claude Partner Network status for teams building on Anthropic models |
| + | Has worked as an embedded team for U.S. scale-ups |
| - | The 2026 merger means leadership and structure are still settling |
| - | Small bench for large placements |
| - | Rates not published |
| X-Team | |
|---|---|
| + | Built for long engagements, with high reported retention |
| + | Named media and gaming clients |
| + | Can supply whole squads |
| - | General software focus; AI depth varies |
| - | Founding and entity details are inconsistent across sources |
| - | No published rates |
Who should choose 10Clouds?
A typical fit: adding an agent developer to a bank's internal automation team.
Financial-services AI focus with Claude partner status. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Banking, Insurance, SaaS.
Who should choose X-Team?
A typical fit: adding a Python ML developer to a media company's product team.
Developer-community model aimed at long placements. Minimum engagement is not publicly disclosed. Works best with clients in Media, Gaming, Education, Fintech.
Decision matrix: 10Clouds vs X-Team
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | 10Clouds |
| Your budget is at the lower end | Compare: 10Clouds (Not disclosed) vs X-Team (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 X-Team
| Use case | 10Clouds fit | X-Team fit | Winner |
|---|---|---|---|
| Adding an agent developer to a bank's internal automation team | Strong | Strong | Both equally |
| Staffing an LLM engineer for an insurer's claims product | Strong | Limited | 10Clouds |
| Adding a Python ML developer to a media company's product team | Strong | Strong | Both equally |
| Long-term squad for a gaming platform with recommendation features | Limited | Strong | X-Team |
Verdict: 10Clouds vs X-Team
10Clouds (4.1/5) is the stronger overall choice for most AI Staffing projects. Financial-services AI focus with Claude partner status.
X-Team (4.0/5) is worth a look if you need long-term squad for a gaming platform with recommendation features. If your situation matches that, X-Team is a competitive option.
Related comparisons
10Clouds vs X-Team FAQ
Is 10Clouds better than X-Team?
10Clouds (4.1/5) scores higher overall, but "better" depends on your use case. 10Clouds's strongest advantage: clear industry focus on regulated financial services. X-Team's strongest advantage: built for long engagements, with high reported retention.
How do 10Clouds and X-Team differ in pricing?
10Clouds uses time and materials; fixed-term staff augmentation; rates on request pricing. X-Team uses monthly per developer; squads; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: 10Clouds or X-Team?
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 agency before shortlisting.
What are the main differences between 10Clouds and X-Team?
10Clouds's primary differentiator is: financial-services AI focus with Claude partner status. X-Team's primary differentiator is: developer-community model aimed at long placements. They also differ in team size (100–200 vs 5,000+ developer network), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Banking vs Media, Gaming).
Verify all details directly with each agency before making a decision.