Markovate vs 10Clouds: full comparison for 2026
Quick verdict
Markovate (4.6/5) edges ahead of 10Clouds (4.0/5) overall. Markovate is the better choice for founders wanting an AI-only product partner. 10Clouds is the stronger option for product teams wanting 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 | 4.6 / 5 | 4.0 / 5 |
| Primary differentiator | AI-exclusive focus since 2015, predating the current generative AI surge | AI treated as one integrated capability inside full product design and development |
| 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, React, Node.js |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | Fintech, Healthcare, Retail & e-commerce |
Markovate vs 10Clouds: overview
Markovate
Markovate has stayed narrowly focused on AI and machine learning product work since founding in 2015, running a team in the 51-200 range out of San Francisco. Co-founder Rajeev Sharma built the firm around shipping AI products end to end rather than staffing generic development teams, which shows in how consistently its case studies center on generative AI and applied ML rather than a broader software portfolio. That narrowness is a trade-off: less flexibility for non-AI work, more depth on the thing it actually does.
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, UX and product design, with blockchain, AI, and machine learning treated as integrated capabilities rather than standalone service lines. That framing suits clients who want AI embedded into a product experience someone else is also designing and building at the same time.
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 | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | 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 idea into a working product with a small, senior team., Getting a fast prototype built before deciding whether to hire in-house AI engineers. | Redesigning a product's UX at the same time an AI feature gets built into it., Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. |
| Typical project type | Fixed project | Fixed project |
Markovate vs 10Clouds: pros and cons
| Markovate | |
|---|---|
| + | Ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. |
| + | San Francisco location keeps the team close to the model providers it works with most. |
| + | Comfortable taking founder calls directly rather than routing everything through account management. |
| + | Case studies describe shipped products, not proof-of-concept demos. |
| - | Team size is small relative to the enterprise generalists on this list, which limits very large concurrent programs |
| - | No public minimum engagement figure to plan a budget against upfront |
| 10Clouds | |
|---|---|
| + | Strong product design and UX practice means 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. |
| - | AI and machine learning sit alongside, not ahead of, the firm's core product design business |
| - | Less AI-specific case-study depth than firms built around AI from founding |
Who should choose Markovate?
A typical fit: turning a generative AI idea into a working product with a small, senior team.
AI-exclusive focus since 2015, predating the current generative AI surge. 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 an AI feature gets built into it.
AI treated as one integrated capability inside full product design and development. 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 idea into a working product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast prototype built before deciding whether to hire in-house AI engineers. | Strong | Limited | Markovate |
| Redesigning a product's UX at the same time an AI feature gets built into it. | Limited | Strong | 10Clouds |
| Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. | Limited | Strong | 10Clouds |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs 10Clouds
Markovate (4.6/5) is the stronger overall choice for most AI Development projects. AI-exclusive focus since 2015, predating the current generative AI surge.
10Clouds (4.0/5) is worth a look if you need adding machine learning to an existing web or mobile product without hiring a separate AI vendor. If your situation matches that, 10Clouds is a competitive option.
Related comparisons
Markovate vs 10Clouds FAQ
Is Markovate better than 10Clouds?
Markovate (4.6/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. 10Clouds's strongest advantage: strong product design and UX practice means 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 firm before shortlisting.
What are the main differences between Markovate and 10Clouds?
Markovate's primary differentiator is: AI-exclusive focus since 2015, predating the current generative AI surge. 10Clouds's primary differentiator is: AI treated as one integrated capability inside full product design and development. 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 firm before making a decision.