10Clouds vs AtliQ Technologies: full comparison for 2026
Quick verdict
10Clouds (4.0/5) edges ahead of AtliQ Technologies (3.9/5) overall. 10Clouds is the better choice for product teams wanting AI folded into UX and design work. AtliQ Technologies is the stronger option for budget-conscious teams wanting AI added to a product build. The right choice depends on your project size, budget, and required tech stack.
10Clouds vs AtliQ Technologies: head-to-head summary
| Criterion | 10Clouds | AtliQ Technologies |
|---|---|---|
| Founded | 2009 | 2017 |
| HQ | Warsaw, Poland | Vadodara, India |
| Team size | 51-200 | 50-220 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | AI treated as one integrated capability inside full product design and development | US and India presence at startup-friendly pricing for a firm founded in 2017 |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, React, Node.js | Python, scikit-learn, AWS |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, SaaS, Fintech |
10Clouds vs AtliQ Technologies: overview
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.
AtliQ Technologies
AtliQ Technologies was founded in 2017 by Bhavin Patel and Dhaval Patel, and is based in Vadodara, Gujarat with an additional office in New Jersey. Public employee counts vary sharply, from roughly 42 to over 220 depending on the source and reporting date, which is worth confirming directly given how young the company is relative to others on this list. The firm's core work is software product and application development, with AI-driven data analysis added as a newer service rather than a founding specialty.
Services and capabilities: 10Clouds vs AtliQ Technologies
| Capability | 10Clouds | AtliQ Technologies |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: 10Clouds vs AtliQ Technologies
| Framework / platform | 10Clouds | AtliQ Technologies |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: 10Clouds vs AtliQ Technologies
| Criterion | 10Clouds | AtliQ Technologies |
|---|---|---|
| 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: 10Clouds vs AtliQ Technologies
| Dimension | 10Clouds | AtliQ Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, SaaS, Fintech |
| Best use cases | 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. | Adding basic AI-driven analytics to a product already in development., Getting a budget-friendly product build where AI is a smaller part of the overall scope. |
| Typical project type | Fixed project | Fixed project |
10Clouds vs AtliQ Technologies: pros and cons
| 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 |
| AtliQ Technologies | |
|---|---|
| + | Combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost. |
| + | Founder-led team stays close to project delivery at this size. |
| + | AI added on top of an existing product development practice, not offered in isolation. |
| + | Younger firm tends to price more competitively than established mid-market vendors. |
| - | Public employee figures vary by nearly 5x, making true team capacity hard to confirm |
| - | Shorter operating history than most other firms on this list |
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.
Who should choose AtliQ Technologies?
A typical fit: adding basic AI-driven analytics to a product already in development.
US and India presence at startup-friendly pricing for a firm founded in 2017. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, SaaS, Fintech.
Decision matrix: 10Clouds vs AtliQ Technologies
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | 10Clouds |
| You need a large dedicated team for an ongoing programme | 10Clouds |
| Your budget is at the lower end | Compare: 10Clouds (Not disclosed) vs AtliQ Technologies (Not disclosed) |
| You need specialist depth in a specific vertical | 10Clouds |
| 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: 10Clouds vs AtliQ Technologies
| Use case | 10Clouds fit | AtliQ Technologies fit | Winner |
|---|---|---|---|
| Redesigning a product's UX at the same time an AI feature gets built into it. | Strong | Limited | 10Clouds |
| Adding machine learning to an existing web or mobile product without hiring a separate AI vendor. | Strong | Strong | Both equally |
| Adding basic AI-driven analytics to a product already in development. | Strong | Strong | Both equally |
| Getting a budget-friendly product build where AI is a smaller part of the overall scope. | Limited | Strong | AtliQ Technologies |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Clouds vs AtliQ Technologies
10Clouds (4.0/5) is the stronger overall choice for most AI Development projects. AI treated as one integrated capability inside full product design and development.
AtliQ Technologies (3.9/5) is worth a look if you need getting a budget-friendly product build where AI is a smaller part of the overall scope. If your situation matches that, AtliQ Technologies is a competitive option.
Related comparisons
10Clouds vs AtliQ Technologies FAQ
Is 10Clouds better than AtliQ Technologies?
10Clouds (4.0/5) scores higher overall, but "better" depends on your use case. 10Clouds's strongest advantage: strong product design and UX practice means AI features arrive inside a polished product, not a bare API integration. AtliQ Technologies's strongest advantage: combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost.
How do 10Clouds and AtliQ Technologies differ in pricing?
10Clouds uses fixed project or dedicated team pricing. AtliQ Technologies 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: 10Clouds or AtliQ Technologies?
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 company before shortlisting.
What are the main differences between 10Clouds and AtliQ Technologies?
10Clouds's primary differentiator is: AI treated as one integrated capability inside full product design and development. AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. They also differ in team size (51-200 vs 50-220), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Retail & e-commerce, SaaS).
Verify all details directly with each company before making a decision.