DataRoot Labs vs Belitsoft: full comparison for 2026
Quick verdict
DataRoot Labs (4.3/5) edges ahead of Belitsoft (4.1/5) overall. DataRoot Labs is the better choice for european startups needing applied AI research on European time zones. Belitsoft is the stronger option for EU clients wanting AI from an established outsourcing partner. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs Belitsoft: head-to-head summary
| Criterion | DataRoot Labs | Belitsoft |
|---|---|---|
| Founded | 2016 | 2004 |
| HQ | Kyiv, Ukraine | Warsaw, Poland |
| Team size | 11-50 | 250-400 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Research-oriented engagement style in an EU-adjacent time zone for European founders | Two of three delivery countries (Poland, Latvia) sit fully inside the EU |
| Pricing model | Dedicated team or fixed project | Dedicated team or staff augmentation |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, scikit-learn | Python, OpenAI API, AWS |
| Industries served | Healthtech, Fintech, Retail & e-commerce | Healthcare, Fintech, E-learning |
DataRoot Labs vs Belitsoft: overview
DataRoot Labs
DataRoot Labs runs out of Kyiv, Ukraine and has focused on applied data science research since founding in 2016. Public staff counts vary widely, from about 11 to nearly 200, likely a function of how contractors get counted differently across trackers. Its work centers on machine learning models, computer vision pipelines, and hands-on AI R&D for startups, including a number of European clients drawn to its proximity and EU-adjacent time zone rather than a fully offshore team on another continent.
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, an EU member state, 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 AI development in 2024, layering AI solutions on top of an already-established web and mobile development and team augmentation business. Two of its three delivery countries (Poland, Latvia) sit inside the EU, which matters for clients weighing data residency across the delivery footprint.
Services and capabilities: DataRoot Labs vs Belitsoft
| Capability | DataRoot Labs | Belitsoft |
|---|---|---|
| Generative AI | ✗ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataRoot Labs vs Belitsoft
| Framework / platform | DataRoot Labs | Belitsoft |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| OpenAI API | N/A | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs Belitsoft
| Criterion | DataRoot Labs | Belitsoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project | Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataRoot Labs vs Belitsoft
| Dimension | DataRoot Labs | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthtech, Fintech, Retail & e-commerce | Healthcare, Fintech, E-learning |
| Best use cases | Standing up an ML proof of concept ahead of a European seed round., Getting a second, independent build on a computer vision pipeline from a nearby time zone. | Augmenting an internal European team with AI engineers on a staff-aug basis., Working with an established EU-region outsourcing partner newly investing in AI. |
| Typical project type | Dedicated team | Dedicated team |
DataRoot Labs vs Belitsoft: pros and cons
| DataRoot Labs | |
|---|---|
| + | Research culture suits startups needing genuine experimentation over templated builds. |
| + | EU-adjacent time zone simplifies daily collaboration for European founders and product teams. |
| + | Small team keeps direct communication between founders and the engineers doing the work. |
| + | Named computer vision projects back up the firm's stated specialty. |
| - | Employee counts differ substantially across public sources, making capacity hard to verify |
| - | Ukraine is not an EU member state, which some regulated European clients may need to factor into data residency planning |
| Belitsoft | |
|---|---|
| + | Warsaw legal entity plus a Latvia delivery office keep most of the footprint inside the EU. |
| + | Two decades of outsourcing and staff augmentation experience. |
| + | Transparent about AI being a 2024 addition rather than overstating a longer history. |
| + | Over 400 combined technical staff supports flexible team augmentation. |
| - | AI practice is genuinely new as of 2024, with a shorter track record than most on this list |
| - | One of three delivery countries (Georgia) sits outside the EU, worth checking for regulated data flows |
Who should choose DataRoot Labs?
A typical fit: standing up an ML proof of concept ahead of a European seed round.
Research-oriented engagement style in an EU-adjacent time zone for European founders. Minimum engagement is not publicly disclosed. Works best with clients in Healthtech, Fintech, Retail & e-commerce.
Who should choose Belitsoft?
A typical fit: augmenting an internal European team with AI engineers on a staff-aug basis.
Two of three delivery countries (Poland, Latvia) sit fully inside the EU. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Decision matrix: DataRoot Labs vs Belitsoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataRoot Labs |
| You need a large dedicated team for an ongoing programme | DataRoot Labs |
| Your budget is at the lower end | Compare: DataRoot Labs (Not disclosed) vs Belitsoft (Not disclosed) |
| You need specialist depth in a specific vertical | DataRoot Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | DataRoot Labs |
Use case fit: DataRoot Labs vs Belitsoft
| Use case | DataRoot Labs fit | Belitsoft fit | Winner |
|---|---|---|---|
| Standing up an ML proof of concept ahead of a European seed round. | Strong | Limited | DataRoot Labs |
| Getting a second, independent build on a computer vision pipeline from a nearby time zone. | Strong | Limited | DataRoot Labs |
| Augmenting an internal European team with AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established EU-region outsourcing partner newly investing in AI. | Limited | Strong | Belitsoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Belitsoft |
Verdict: DataRoot Labs vs Belitsoft
DataRoot Labs (4.3/5) is the stronger overall choice for most AI Development projects. Research-oriented engagement style in an EU-adjacent time zone for European founders.
Belitsoft (4.1/5) is worth a look if you need working with an established EU-region outsourcing partner newly investing in AI. If your situation matches that, Belitsoft is a competitive option.
Related comparisons
DataRoot Labs vs Belitsoft FAQ
Is DataRoot Labs better than Belitsoft?
DataRoot Labs (4.3/5) scores higher overall, but "better" depends on your use case. DataRoot Labs's strongest advantage: research culture suits startups needing genuine experimentation over templated builds. Belitsoft's strongest advantage: warsaw legal entity plus a Latvia delivery office keep most of the footprint inside the EU.
How do DataRoot Labs and Belitsoft differ in pricing?
DataRoot Labs uses dedicated team or fixed project 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: DataRoot 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 company before shortlisting.
What are the main differences between DataRoot Labs and Belitsoft?
DataRoot Labs's primary differentiator is: research-oriented engagement style in an EU-adjacent time zone for European founders. Belitsoft's primary differentiator is: two of three delivery countries (Poland, Latvia) sit fully inside the EU. They also differ in team size (11-50 vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthtech, Fintech vs Healthcare, Fintech).
Verify all details directly with each company before making a decision.