SoftKraft vs 10Clouds: full comparison for 2026
Quick verdict
SoftKraft (4.0/5) edges ahead of 10Clouds (4.0/5) overall. SoftKraft is the better choice for startups on tight budgets needing data-driven MVPs. 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.
SoftKraft vs 10Clouds: head-to-head summary
| Criterion | SoftKraft | 10Clouds |
|---|---|---|
| Founded | 2015 | 2009 |
| HQ | Bielsko-Biala, Poland | Warsaw, Poland |
| Team size | 11-50 | 51-200 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Small dedicated team priced for startup budgets rather than enterprise rates | 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, PostgreSQL, Apache Airflow | Python, React, Node.js |
| Industries served | Fintech, SaaS, Healthtech | Fintech, Healthcare, Retail & e-commerce |
SoftKraft vs 10Clouds: overview
SoftKraft
SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team out of Bielsko-Biala, Poland. Roughly 70% of clients come from North America despite the delivery team sitting in Poland, a common pattern for smaller nearshore AI consultancies. The firm's positioning centers on data-driven software, AI, and data engineering built specifically for startups and small-to-mid-sized companies, not enterprise accounts.
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: SoftKraft vs 10Clouds
| Capability | SoftKraft | 10Clouds |
|---|---|---|
| Generative AI | ✗ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftKraft vs 10Clouds
| Framework / platform | SoftKraft | 10Clouds |
|---|---|---|
| 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: SoftKraft vs 10Clouds
| Criterion | SoftKraft | 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: SoftKraft vs 10Clouds
| Dimension | SoftKraft | 10Clouds |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthtech | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Building a data-driven MVP for a pre-seed or seed-stage startup., Getting AI and data engineering handled by one small, accountable 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 |
SoftKraft vs 10Clouds: pros and cons
| SoftKraft | |
|---|---|
| + | Smaller team size keeps overhead, and likely cost, below mid-size and enterprise vendors. |
| + | 70% North American client base shows the team has adapted to US buyer expectations from Poland. |
| + | Founder-led leadership stays close to delivery rather than purely sales. |
| + | Startup and SME focus means scope and pricing are built for smaller budgets from the outset. |
| - | Team of 11-50 limits capacity to a handful of concurrent projects |
| - | Less public case-study history than firms with a decade-plus track record |
| 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 SoftKraft?
A typical fit: building a data-driven MVP for a pre-seed or seed-stage startup.
Small dedicated team priced for startup budgets rather than enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.
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: SoftKraft vs 10Clouds
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoftKraft |
| You need a large dedicated team for an ongoing programme | SoftKraft |
| Your budget is at the lower end | Compare: SoftKraft (Not disclosed) vs 10Clouds (Not disclosed) |
| You need specialist depth in a specific vertical | SoftKraft |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | SoftKraft |
Use case fit: SoftKraft vs 10Clouds
| Use case | SoftKraft fit | 10Clouds fit | Winner |
|---|---|---|---|
| Building a data-driven MVP for a pre-seed or seed-stage startup. | Strong | Limited | SoftKraft |
| Getting AI and data engineering handled by one small, accountable team. | Strong | Limited | SoftKraft |
| 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: SoftKraft vs 10Clouds
SoftKraft (4.0/5) is the stronger overall choice for most AI Development projects. Small dedicated team priced for startup budgets rather than enterprise rates.
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
SoftKraft vs 10Clouds FAQ
Is SoftKraft better than 10Clouds?
SoftKraft (4.0/5) scores higher overall, but "better" depends on your use case. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise vendors. 10Clouds's strongest advantage: strong product design and UX practice means AI features arrive inside a polished product.
How do SoftKraft and 10Clouds differ in pricing?
SoftKraft 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: SoftKraft or 10Clouds?
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 firm before shortlisting.
What are the main differences between SoftKraft and 10Clouds?
SoftKraft's primary differentiator is: small dedicated team priced for startup budgets rather than enterprise rates. 10Clouds's primary differentiator is: AI treated as one integrated capability inside full product design and development. They also differ in team size (11-50 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, SaaS vs Fintech, Healthcare).
Verify all details directly with each firm before making a decision.