N-iX vs Belitsoft: full comparison for 2026
Quick verdict
N-iX (4.0/5) edges ahead of Belitsoft (3.9/5) overall. N-iX is the better choice for enterprises wanting generative AI paired with cloud engineering. Belitsoft is the stronger option for teams wanting generative AI from an established staff augmentation partner. The right choice depends on your project size, budget, and required tech stack.
N-iX vs Belitsoft: head-to-head summary
| Criterion | N-iX | Belitsoft |
|---|---|---|
| Founded | 2002 | 2004 |
| HQ | Valletta, Malta | Warsaw, Poland |
| Team size | 2,400+ | 250-400 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens | Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice |
| Pricing model | Dedicated team or retainer | Dedicated team or staff augmentation |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, AWS | Python, OpenAI API, AWS |
| Industries served | Automotive, Financial services, Retail & e-commerce, Telecom | Healthcare, Fintech, E-learning |
N-iX vs Belitsoft: overview
N-iX
N-iX has run since 2002, reporting headquarters in Valletta, Malta, with delivery centers across Poland, Ukraine, Romania, and Bulgaria and over 2,400 professionals worldwide. Publicly named clients include Bosch, Siemens, eBay, and Questrade. Its AI practice has delivered more than 50 projects covering readiness assessment, LLM engineering, custom agents, multi-agent orchestration, and RAG pipelines, all inside a much larger cloud, data, and embedded software business.
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and generative AI development in 2024, layering AI solutions on top of an already-established web and mobile development and team augmentation business. That makes generative AI a genuinely recent addition rather than a rebrand of older services.
Services and capabilities: N-iX vs Belitsoft
| Capability | N-iX | Belitsoft |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: N-iX vs Belitsoft
| Framework / platform | N-iX | Belitsoft |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: N-iX vs Belitsoft
| Criterion | N-iX | Belitsoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: N-iX vs Belitsoft
| Dimension | N-iX | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Automotive, Financial services, Retail & e-commerce | Healthcare, Fintech, E-learning |
| Best use cases | Running a generative AI readiness assessment before a larger transformation program., Building multi-agent systems that need to integrate with existing enterprise cloud infrastructure. | Augmenting an internal team with generative AI engineers on a staff-aug basis., Working with an established outsourcing partner newly investing in generative AI. |
| Typical project type | Dedicated team | Dedicated team |
N-iX vs Belitsoft: pros and cons
| N-iX | |
|---|---|
| + | Named enterprise clients (Bosch, Siemens, eBay, Questrade) provide verifiable delivery credibility. |
| + | Over 2,400 staff support large, multi-year engagements without straining capacity. |
| + | Generative AI practice spans the full pipeline from readiness assessment through multi-agent orchestration. |
| + | Multi-country European footprint gives clients flexibility on timezone and cost. |
| - | Generative AI is one practice area within a much larger engineering business |
| - | Enterprise scale typically means a longer, more formal sales and onboarding process |
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about generative AI being a 2024 addition rather than overstating a longer history. |
| + | Over 400 combined technical staff supports flexible team augmentation. |
| + | Established e-learning industry presence gives it relevant vertical experience. |
| - | Generative 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 N-iX?
A typical fit: running a generative AI readiness assessment before a larger transformation program.
50-plus delivered AI projects with named enterprise clients like Bosch and Siemens. Minimum engagement is not publicly disclosed. Works best with clients in Automotive, Financial services, Retail & e-commerce, Telecom.
Who should choose Belitsoft?
A typical fit: augmenting an internal team with generative AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Decision matrix: N-iX vs Belitsoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | N-iX |
| Your budget is at the lower end | Compare: N-iX (Not disclosed) vs Belitsoft (Not disclosed) |
| You need specialist depth in a specific vertical | N-iX |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Belitsoft |
Use case fit: N-iX vs Belitsoft
| Use case | N-iX fit | Belitsoft fit | Winner |
|---|---|---|---|
| Running a generative AI readiness assessment before a larger transformation program. | Strong | Limited | N-iX |
| Building multi-agent systems that need to integrate with existing enterprise cloud infrastructure. | Strong | Limited | N-iX |
| Augmenting an internal team with generative AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established outsourcing partner newly investing in generative AI. | Limited | Strong | Belitsoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Belitsoft |
Verdict: N-iX vs Belitsoft
N-iX (4.0/5) is the stronger overall choice for most Generative AI Development projects. 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens.
Belitsoft (3.9/5) is worth a look if you need working with an established outsourcing partner newly investing in generative AI. If your situation matches that, Belitsoft is a competitive option.
Related comparisons
N-iX vs Belitsoft FAQ
Is N-iX better than Belitsoft?
N-iX (4.0/5) scores higher overall, but "better" depends on your use case. N-iX's strongest advantage: named enterprise clients (Bosch, Siemens, eBay, Questrade) provide verifiable delivery credibility. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
How do N-iX and Belitsoft differ in pricing?
N-iX uses dedicated team or retainer 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: N-iX 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 company before shortlisting.
What are the main differences between N-iX and Belitsoft?
N-iX's primary differentiator is: 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. They also differ in team size (2,400+ vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Automotive, Financial services vs Healthcare, Fintech).
Verify all details directly with each company before making a decision.