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 startups needing a dedicated AI product partner, not a generalist. 10Clouds is the stronger option for product teams wanting AI folded into UX and design work. 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 | Ten years of AI-only positioning predating the current generative AI wave | 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 was founded in 2015 and is headquartered in San Francisco, with a team of roughly 50-200 people working exclusively on AI and machine learning engagements. Unlike many vendors that added a generative AI page to an existing services list, Markovate's public positioning, case studies, and hiring have centered on AI product development, generative AI, and blockchain-adjacent AI tooling for most of its history. Co-founder Rajeev Sharma leads a delivery model built around packaged AI product builds rather than broad custom software development.
10Clouds
10Clouds was founded in 2009 and is based in Warsaw, Poland, with a headcount reported around 176 as of mid-2024 against a LinkedIn range of 51-200. The firm's core business is digital product consultancy, covering web and mobile development, UX and product design, with blockchain, AI, and machine learning integrated as capabilities rather than standalone offerings. That framing suits clients who want AI embedded into a product experience someone else is also designing and building.
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 shippable product with a small, focused team., Prototyping an AI feature quickly before deciding whether to staff an in-house team. | 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 | |
|---|---|
| + | AI-first positioning that predates the 2022-era rush of generalists rebranding as AI specialists. |
| + | San Francisco base keeps the team close to the model providers it integrates most often. |
| + | Case studies cover product-level AI builds, not just proof-of-concept demos. |
| + | Comfortable working directly with founders on early-stage AI product bets. |
| - | Smaller team than the large engineering firms on this list, which limits parallel enterprise rollouts |
| - | Public pricing and minimum engagement figures are not published |
| 10Clouds | |
|---|---|
| + | Strong product design and UX practice means AI features arrive inside a polished product, not a bare API integration. |
| + | Fifteen-plus years of operating history in the Warsaw tech scene. |
| + | Comfortable working across the full product stack, not just the AI layer. |
| + | Mid-size team keeps senior engineers involved in 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 shippable product with a small, focused team.
Ten years of AI-only positioning predating the current generative AI wave. 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 shippable product with a small, focused team. | Strong | Limited | Markovate |
| Prototyping an AI feature quickly before deciding whether to staff an in-house team. | 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 | Strong | Limited | Markovate |
Verdict: Markovate vs 10Clouds
Markovate (4.5/5) is the stronger overall choice for most AI Development projects. Ten years of AI-only positioning predating the current generative AI wave.
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 (4.5/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: AI-first positioning that predates the 2022-era rush of generalists rebranding as AI specialists. 10Clouds's strongest advantage: strong product design and UX practice means AI features arrive inside a polished product, not a bare API integration.
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: ten years of AI-only positioning predating the current generative AI wave. 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 company before making a decision.