SoftKraft vs Belitsoft: full comparison for 2026
Quick verdict
SoftKraft (4.0/5) edges ahead of Belitsoft (4.0/5) overall. SoftKraft is the better choice for startups on tight budgets needing data-driven MVPs. Belitsoft is the stronger option for teams wanting AI from an established staff augmentation partner. The right choice depends on your project size, budget, and required tech stack.
SoftKraft vs Belitsoft: head-to-head summary
| Criterion | SoftKraft | Belitsoft |
|---|---|---|
| Founded | 2015 | 2004 |
| HQ | Bielsko-Biala, Poland | Warsaw, Poland |
| Team size | 11-50 | 250-400 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Small dedicated team priced for startup budgets, not enterprise rates | Twenty years of outsourcing delivery with AI added as a distinctly recent practice |
| Pricing model | Fixed project or dedicated team | Dedicated team or staff augmentation |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PostgreSQL, Apache Airflow | Python, AWS, .NET |
| Industries served | Fintech, SaaS, Healthtech | Healthcare, Fintech, E-learning |
SoftKraft vs Belitsoft: overview
SoftKraft
SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team from Bielsko-Biala, Poland. Around 70% of its clients are North American despite the delivery team sitting in Poland, a common pattern for smaller nearshore AI agencies. 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.
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, project managers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and AI development in 2024, layering AI software solutions on top of an already-established web and mobile development and team augmentation business. That makes AI a genuinely recent addition rather than a rebrand of older services.
Services and capabilities: SoftKraft vs Belitsoft
| Capability | SoftKraft | Belitsoft |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftKraft vs Belitsoft
| Framework / platform | SoftKraft | Belitsoft |
|---|---|---|
| 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 Belitsoft
| Criterion | SoftKraft | Belitsoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftKraft vs Belitsoft
| Dimension | SoftKraft | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthtech | Healthcare, Fintech, E-learning |
| 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. | Augmenting an internal team with AI engineers on a staff-aug basis., Working with an established outsourcing partner that's newly investing in AI capability. |
| Typical project type | Fixed project | Dedicated team |
SoftKraft vs Belitsoft: pros and cons
| SoftKraft | |
|---|---|
| + | Smaller team size keeps overhead, and likely cost, below mid-size and enterprise agencies. |
| + | 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 fit smaller budgets from the outset. |
| - | Team of 11-50 limits capacity to a handful of concurrent projects |
| - | Less public case-study history than agencies with a decade-plus track record |
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about AI being a 2024 addition rather than overstating a longer AI history. |
| + | Over 400 combined technical staff supports flexible team augmentation. |
| + | Established e-learning industry presence gives it relevant vertical experience. |
| - | AI practice is genuinely new as of 2024, with a shorter track record than most on this list |
| - | AI sits alongside a broader outsourcing business rather than as the firm's core identity |
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, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.
Who should choose Belitsoft?
A typical fit: augmenting an internal team with AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with AI added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Decision matrix: SoftKraft vs Belitsoft
| 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 Belitsoft (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 Belitsoft
| Use case | SoftKraft fit | Belitsoft 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 |
| Augmenting an internal team with AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established outsourcing partner that's newly investing in AI capability. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Belitsoft |
Verdict: SoftKraft vs Belitsoft
SoftKraft (4.0/5) is the stronger overall choice for most AI Development projects. Small dedicated team priced for startup budgets, not enterprise rates.
Belitsoft (4.0/5) is worth a look if you need working with an established outsourcing partner that's newly investing in AI capability. If your situation matches that, Belitsoft is a competitive option.
Related comparisons
SoftKraft vs Belitsoft FAQ
Is SoftKraft better than Belitsoft?
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 agencies. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
How do SoftKraft and Belitsoft differ in pricing?
SoftKraft uses fixed project or dedicated team pricing. Belitsoft uses dedicated team or staff augmentation pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: SoftKraft or Belitsoft?
Belitsoft is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between SoftKraft and Belitsoft?
SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with AI added as a distinctly recent practice. They also differ in team size (11-50 vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, SaaS vs Healthcare, Fintech).
Verify all details directly with each agency before making a decision.