Mobilunity vs 10Clouds: full comparison for 2026
Quick verdict
Mobilunity (4.2/5) edges ahead of 10Clouds (4.1/5) overall. Mobilunity is the better choice for budget-conscious teams hiring a dedicated AI developer. 10Clouds is the stronger option for Banks, insurers and fintechs building AI features. The right choice depends on your project size, budget, and required tech stack.
Mobilunity vs 10Clouds: head-to-head summary
| Criterion | Mobilunity | 10Clouds |
|---|---|---|
| Founded | 2010 | 2009 |
| HQ | Kyiv, Ukraine | Warsaw, Poland |
| Team size | ~150 on client teams | 100–200 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Recruits each hire to your spec at one of the lower rate bands here | Financial-services AI focus with Claude partner status |
| Pricing model | Monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) | Time and materials; fixed-term staff augmentation; rates on request |
| Min. engagement | 1 dedicated developer | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Claude, OpenAI |
| Industries served | SaaS, Fintech, E-commerce, Healthcare | Fintech, Banking, Insurance, SaaS |
Mobilunity vs 10Clouds: overview
Mobilunity
Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.
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.
Services and capabilities: Mobilunity vs 10Clouds
| Capability | Mobilunity | 10Clouds |
|---|---|---|
| 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: Mobilunity vs 10Clouds
| Framework / platform | Mobilunity | 10Clouds |
|---|---|---|
| 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: Mobilunity vs 10Clouds
| Criterion | Mobilunity | 10Clouds |
|---|---|---|
| Minimum engagement | 1 dedicated developer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Dedicated team | Full-time dedicated engineers, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Mobilunity vs 10Clouds
| Dimension | Mobilunity | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Fintech, Banking, Insurance |
| Best use cases | Hiring one dedicated ML engineer on a tight budget, Bringing in a part-time LLM consultant for a short evaluation | Adding an agent developer to a bank's internal automation team, Staffing an LLM engineer for an insurer's claims product |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Mobilunity vs 10Clouds: pros and cons
| Mobilunity | |
|---|---|
| + | Hires to your exact profile instead of matching from a fixed bench |
| + | One of the lower published rate bands on this list |
| + | Part-time consultants are available for short skill gaps |
| + | Long experience with the admin side of employing Ukrainian engineers for foreign clients |
| - | Recruiting from scratch takes longer than placing an existing bench engineer |
| - | Technical screening depth depends on your own interview process |
| - | No dedicated AI practice; AI roles are recruited case by case |
| 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 |
Who should choose Mobilunity?
A typical fit: hiring one dedicated ML engineer on a tight budget.
Recruits each hire to your spec at one of the lower rate bands here. Minimum engagement starts at 1 dedicated developer. Works best with clients in SaaS, Fintech, E-commerce, Healthcare.
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.
Decision matrix: Mobilunity vs 10Clouds
| 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 | Mobilunity |
| Your budget is at the lower end | Compare: Mobilunity (1 dedicated developer) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | Mobilunity |
| 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: Mobilunity vs 10Clouds
| Use case | Mobilunity fit | 10Clouds fit | Winner |
|---|---|---|---|
| Hiring one dedicated ML engineer on a tight budget | Strong | Limited | Mobilunity |
| Bringing in a part-time LLM consultant for a short evaluation | Strong | Limited | Mobilunity |
| Adding an agent developer to a bank's internal automation team | Limited | Strong | 10Clouds |
| Staffing an LLM engineer for an insurer's claims product | Limited | Strong | 10Clouds |
Verdict: Mobilunity vs 10Clouds
Mobilunity (4.2/5) is the stronger overall choice for most AI Staffing projects. Recruits each hire to your spec at one of the lower rate bands here.
10Clouds (4.1/5) is worth a look if you need staffing an LLM engineer for an insurer's claims product. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
Mobilunity vs 10Clouds FAQ
Is Mobilunity better than 10Clouds?
Mobilunity (4.2/5) scores higher overall, but "better" depends on your use case. Mobilunity's strongest advantage: hires to your exact profile instead of matching from a fixed bench. 10Clouds's strongest advantage: clear industry focus on regulated financial services.
How do Mobilunity and 10Clouds differ in pricing?
Mobilunity uses monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) pricing with a minimum engagement of 1 dedicated developer. 10Clouds uses time and materials; fixed-term staff augmentation; 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: Mobilunity or 10Clouds?
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 Mobilunity and 10Clouds?
Mobilunity's primary differentiator is: recruits each hire to your spec at one of the lower rate bands here. 10Clouds's primary differentiator is: financial-services AI focus with Claude partner status. They also differ in team size (~150 on client teams vs 100–200), minimum engagement (1 dedicated developer vs Not disclosed), and primary industries served (SaaS, Fintech vs Fintech, Banking).
Verify all details directly with each agency before making a decision.