InData Labs vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Belitsoft (3.9/5) overall. InData Labs is the better choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Belitsoft is the stronger option for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Belitsoft: head-to-head summary
| Criterion | InData Labs | Belitsoft |
|---|---|---|
| Founded | 2014 | 2004 |
| HQ | Nicosia, Cyprus | Warsaw, Poland |
| Team size | 51–200 | 201–500 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor. | Small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing. |
| Pricing model | Fixed project and Time & Material | Fixed project and Time & Material |
| Min. engagement | $20K | $15K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, Scikit-learn, AWS |
| Industries served | FinTech, Healthcare, Technology/SaaS, Retail, Logistics | Healthcare, Financial Services, Technology/SaaS |
InData Labs vs Belitsoft: overview
InData Labs
InData Labs is a data science and AI consultancy founded in 2014 by Marat Karpeko, headquartered in Nicosia, Cyprus, with additional offices in Lithuania and the US. The 80+ person firm (per company website) runs its own R&D center and focuses on production AI systems for fintech, healthcare, SaaS, retail, and logistics clients.
Belitsoft
Belitsoft is a software development company founded in 2004, headquartered in Warsaw, Poland, with development centers in Gomel and Brest, Belarus. Reported headcount ranges from roughly 250 to 400+ developers, testers, project managers, and DevOps specialists, and the firm has expanded its cloud and AI development proficiency to include generative AI, predictive analytics, and forecasting models alongside its core custom software development practice.
Services and capabilities: InData Labs vs Belitsoft
| Capability | InData Labs | Belitsoft |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| AI strategy consulting | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: InData Labs vs Belitsoft
| Framework / platform | InData Labs | Belitsoft |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: InData Labs vs Belitsoft
| Criterion | InData Labs | Belitsoft |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Fixed project, Time & Material | Fixed project, Time & Material |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: InData Labs vs Belitsoft
| Dimension | InData Labs | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Technology/SaaS | Healthcare, Financial Services, Technology/SaaS |
| Best use cases | Building a fintech risk-scoring or fraud model with a specialist data-science team, Standing up a healthcare predictive-analytics pilot with a boutique partner | Small-to-mid companies wanting a cost-effective partner for a forecasting or recommendation-engine build, Healthcare or finance clients needing predictive analytics added to an existing software product |
| Typical project type | Fixed project | Fixed project |
InData Labs vs Belitsoft: pros and cons
| InData Labs | |
|---|---|
| + | Founder brought data-analytics experience from the gaming industry, an unusually data-intensive prior domain |
| + | Multi-country footprint (Cyprus, Lithuania, US) without the very large headcount of enterprise IT firms |
| + | 10+ years of focused data science practice rather than a recent AI pivot from generalist dev work |
| + | Named vertical focus (FinTech, Healthcare, Logistics) supports domain-specific model design |
| - | 80-person team limits capacity for very large multi-year enterprise programs |
| - | Less brand recognition in North America than US-headquartered competitors |
| - | Public case studies rarely disclose named enterprise clients |
| Belitsoft | |
|---|---|
| + | 21 years of continuous custom software development history |
| + | Accessible minimum engagement size relative to enterprise-scale competitors on this list |
| + | Deep expertise cited in Big Data, Deep Learning, and Predictive Analytics beyond generic AI marketing language |
| + | Multi-country delivery (Poland, Belarus) supports competitive pricing for smaller buyers |
| - | AI/ML is a recently expanded practice area layered onto a longer-running general software development business |
| - | Reported headcount varies by source (250 vs. 400+), worth confirming current team size directly |
| - | Less brand recognition in AI/ML specifically compared to AI-first boutiques on this list |
Who should choose InData Labs?
InData Labs is the right choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. Minimum engagement starts at $20K. Works best with clients in FinTech, Healthcare, Technology/SaaS, Retail, Logistics.
Who should choose Belitsoft?
Belitsoft is the right choice for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing..
21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics.. Minimum engagement starts at $15K. Works best with clients in Healthcare, Financial Services, Technology/SaaS.
Decision matrix: InData Labs vs Belitsoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Belitsoft |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | InData Labs |
Use case fit: InData Labs vs Belitsoft
| Use case | InData Labs fit | Belitsoft fit | Winner |
|---|---|---|---|
| Building a fintech risk-scoring or fraud model with a specialist data-science team | Strong | Limited | InData Labs |
| Standing up a healthcare predictive-analytics pilot with a boutique partner | Strong | Limited | InData Labs |
| Small-to-mid companies wanting a cost-effective partner for a forecasting or recommendation-engine build | Limited | Strong | Belitsoft |
| Healthcare or finance clients needing predictive analytics added to an existing software product | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs Belitsoft
InData Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. It is best for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Belitsoft (3.9/5) is the better choice when small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing.. If your situation matches those criteria, Belitsoft is a competitive option.
Related comparisons
InData Labs vs Belitsoft FAQ
Is InData Labs better than Belitsoft?
InData Labs (4.5/5) scores higher overall, but "better" depends on your use case. InData Labs is better for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Belitsoft is better for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing..
How do InData Labs and Belitsoft differ in pricing?
InData Labs uses fixed project and time & material pricing with a minimum engagement of $20K. Belitsoft uses fixed project and time & material pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs 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 InData Labs and Belitsoft?
InData Labs's primary differentiator is: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.. Belitsoft's primary differentiator is: 21 years as a custom software development firm now expanding deliberately into generative ai and predictive analytics.. They also differ in team size (51–200 vs 201–500), minimum engagement ($20K vs $15K), and primary industries served (FinTech, Healthcare vs Healthcare, Financial Services).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.