Markovate vs 10Clouds: full comparison for 2026
Quick verdict
Markovate (4.5/5) edges ahead of 10Clouds (4.0/5) overall. Markovate is the better choice for founders wanting a generative AI-only product partner. 10Clouds is the stronger option for product teams wanting generative AI folded into UX and design. The right choice depends on your project size, budget, and required tech stack.
Markovate vs 10Clouds: head-to-head summary
| Criterion | Markovate | 10Clouds |
|---|---|---|
| Founded | 2015 | 2009 |
| HQ | San Francisco, United States | Warsaw, Poland |
| Team size | 51-200 | 51-200 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | AI-exclusive focus dating to 2015, ahead of the current generative AI cycle | Generative AI treated as one integrated capability inside full product design |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, OpenAI API, React |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | Fintech, Healthcare, Retail & e-commerce |
Markovate vs 10Clouds: overview
Markovate
Markovate has run as an AI-only agency out of San Francisco since 2015, with a team in the 51-200 range under co-founder Rajeev Sharma. Its decade of case studies has stayed centered on generative AI and machine learning product work specifically, predating the current wave of firms rebranding around large language models. That narrow focus trades breadth for depth: clients get a generative AI specialist, not a full-service development partner handling every kind of project.
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 firm's core business is digital product consultancy, web and mobile development, and UX design, with generative AI treated as an integrated capability rather than a standalone service line. That framing suits clients who want generative AI embedded into a product experience someone else is also designing.
Services and capabilities: Markovate vs 10Clouds
| Capability | Markovate | 10Clouds |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Markovate vs 10Clouds
| Framework / platform | Markovate | 10Clouds |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs 10Clouds
| Criterion | Markovate | 10Clouds |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs 10Clouds
| Dimension | Markovate | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Turning a generative AI concept into a shipped product with a small, senior team., Getting a fast generative AI prototype built before deciding on an in-house hire. | Redesigning a product's UX at the same time a generative AI feature gets built into it., Adding generative AI to an existing web or mobile product without hiring a separate vendor. |
| Typical project type | Fixed project | Fixed project |
Markovate vs 10Clouds: pros and cons
| Markovate | |
|---|---|
| + | Ten years of AI-only positioning predates most competitors' generative AI pivot. |
| + | Based in San Francisco, close to the model providers it integrates most often. |
| + | Willing to take direct founder calls rather than routing through account management layers. |
| + | Case studies describe shipped generative AI products rather than proof-of-concept demos. |
| - | Team size limits how many large concurrent engagements the agency can realistically run |
| - | No published minimum engagement figure to budget against upfront |
| 10Clouds | |
|---|---|
| + | Strong product design and UX practice means generative AI features arrive inside a polished product. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable across the full product stack, not just the AI layer. |
| + | Mid-size team keeps senior engineers involved on most engagements. |
| - | Generative AI sits alongside, not ahead of, the firm's core product design business |
| - | Less AI-specific case-study depth than agencies built around AI from founding |
Who should choose Markovate?
A typical fit: turning a generative AI concept into a shipped product with a small, senior team.
AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.
Who should choose 10Clouds?
A typical fit: redesigning a product's UX at the same time a generative AI feature gets built into it.
Generative AI 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: Markovate vs 10Clouds
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Markovate |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not disclosed) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | Markovate |
| 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: Markovate vs 10Clouds
| Use case | Markovate fit | 10Clouds fit | Winner |
|---|---|---|---|
| Turning a generative AI concept into a shipped product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast generative AI prototype built before deciding on an in-house hire. | Strong | Limited | Markovate |
| Redesigning a product's UX at the same time a generative AI feature gets built into it. | Limited | Strong | 10Clouds |
| Adding generative AI to an existing web or mobile product without hiring a separate vendor. | Limited | Strong | 10Clouds |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs 10Clouds
Markovate (4.5/5) is the stronger overall choice for most Generative AI Development projects. AI-exclusive focus dating to 2015, ahead of the current generative AI cycle.
10Clouds (4.0/5) is worth a look if you need adding generative AI to an existing web or mobile product without hiring a separate vendor. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
Markovate vs 10Clouds FAQ
Is Markovate better than 10Clouds?
Markovate (4.5/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning predates most competitors' generative AI pivot. 10Clouds's strongest advantage: strong product design and UX practice means generative AI features arrive inside a polished product.
How do Markovate and 10Clouds differ in pricing?
Markovate uses fixed project or dedicated team 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: Markovate or 10Clouds?
Markovate 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 Markovate and 10Clouds?
Markovate's primary differentiator is: AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. 10Clouds's primary differentiator is: generative AI treated as one integrated capability inside full product design. They also differ in team size (51-200 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.