MobiDev vs 10Clouds: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of 10Clouds (4.1/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. 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.
MobiDev vs 10Clouds: head-to-head summary
| Criterion | MobiDev | 10Clouds |
|---|---|---|
| Founded | 2009 | 2009 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | Warsaw, Poland |
| Team size | 201–500 | 100–200 |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Financial-services AI focus with Claude partner status |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Time and materials; fixed-term staff augmentation; rates on request |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Claude, OpenAI |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | Fintech, Banking, Insurance, SaaS |
MobiDev vs 10Clouds: overview
MobiDev
MobiDev was founded in 2009 in Kharkiv, Ukraine, opened its first U.S. office in Atlanta in 2011, and now runs R&D centers in Ukraine and Łódź, Poland. Its AI team-augmentation offer starts at a single full-time engineer and quotes up to two weeks to allocate someone (per company website; independently unverifiable). The company says 89% of its engineers are middle or senior level and reports more than 65 AI and ML products built, mainly for retail, hospitality, fitness and health clients. Headcount figures range from 201–500 on aggregators to 400+ on a regional IT directory.
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: MobiDev vs 10Clouds
| Capability | MobiDev | 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: MobiDev vs 10Clouds
| Framework / platform | MobiDev | 10Clouds |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| 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: MobiDev vs 10Clouds
| Criterion | MobiDev | 10Clouds |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs 10Clouds
| Dimension | MobiDev | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | Fintech, Banking, Insurance |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | 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 |
MobiDev vs 10Clouds: pros and cons
| MobiDev | |
|---|---|
| + | You can start with a single engineer instead of a whole squad |
| + | Senior-weighted bench, with a stated six-year average experience among lead AI engineers |
| + | Strong record in computer vision for fitness and sports products |
| + | U.S. and UK incorporation makes contracting straightforward |
| - | Much of the delivery team is in Ukraine, so some buyers will want to discuss continuity planning |
| - | Industry focus is narrower than the large generalists |
| - | No published rates |
| 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 MobiDev?
A typical fit: adding a pose-estimation engineer to a fitness app.
Long AI product record in retail, hospitality and fitness. Minimum engagement starts at 1 full-time engineer. Works best with clients in Retail and e-commerce, Hospitality, Fitness and wellness, 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: MobiDev 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 | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (1 full-time engineer) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | MobiDev |
| 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: MobiDev vs 10Clouds
| Use case | MobiDev fit | 10Clouds fit | Winner |
|---|---|---|---|
| Adding a pose-estimation engineer to a fitness app | Strong | Strong | Both equally |
| Placing an AI engineer to build product recommendations for a retailer | Strong | Limited | MobiDev |
| 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 | Limited | Strong | 10Clouds |
Verdict: MobiDev vs 10Clouds
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
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
MobiDev vs 10Clouds FAQ
Is MobiDev better than 10Clouds?
MobiDev (4.4/5) scores higher overall, but "better" depends on your use case. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad. 10Clouds's strongest advantage: clear industry focus on regulated financial services.
How do MobiDev and 10Clouds differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. 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: MobiDev or 10Clouds?
MobiDev 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 MobiDev and 10Clouds?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. 10Clouds's primary differentiator is: financial-services AI focus with Claude partner status. They also differ in team size (201–500 vs 100–200), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs Fintech, Banking).
Verify all details directly with each agency before making a decision.