DataRoot Labs vs HYS Enterprise: full comparison for 2026
Quick verdict
DataRoot Labs (4.4/5) edges ahead of HYS Enterprise (3.9/5) overall. DataRoot Labs is the better choice for data-heavy startups needing applied ML research capacity. HYS Enterprise is the stronger option for EU clients wanting Netherlands-based contracting with Poland delivery. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs HYS Enterprise: head-to-head summary
| Criterion | DataRoot Labs | HYS Enterprise |
|---|---|---|
| Founded | 2016 | 2007 |
| HQ | Kyiv, Ukraine | Amsterdam, Netherlands |
| Team size | 11-50 | 213 |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Primary differentiator | R&D-style engagement model built for startups, not enterprise procurement | Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting |
| Pricing model | Dedicated team or fixed project | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, scikit-learn | Python, AWS, Azure |
| Industries served | Healthtech, Fintech, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
DataRoot Labs vs HYS Enterprise: overview
DataRoot Labs
DataRoot Labs is a Kyiv-based data science and AI consulting company founded in 2016. Team size estimates vary by source, ranging from roughly 11 to 200 employees depending on whether contractors and R&D partners are counted, but the firm consistently positions itself around applied research and development for data science and AI-powered startups rather than broad enterprise IT outsourcing. Its focus stays narrow: machine learning models, computer vision pipelines, and AI R&D partnerships for companies that need a research-capable team without hiring one in-house.
HYS Enterprise
HYS Enterprise was founded in 2007 and is headquartered in Amsterdam, with its main development hub staffed by engineers across Eastern Europe based in Poland. As of mid-2026 the company reported 213 employees. The firm operates as an IT consulting and software development company broadly, with AI delivered as an extension of its general consulting and engineering practice rather than a dedicated specialty area.
Services and capabilities: DataRoot Labs vs HYS Enterprise
| Capability | DataRoot Labs | HYS Enterprise |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataRoot Labs vs HYS Enterprise
| Framework / platform | DataRoot Labs | HYS Enterprise |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs HYS Enterprise
| Criterion | DataRoot Labs | HYS Enterprise |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataRoot Labs vs HYS Enterprise
| Dimension | DataRoot Labs | HYS Enterprise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthtech, Fintech, Retail & e-commerce | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Standing up a machine learning proof of concept before a startup's seed round closes., Getting a second opinion or independent build on a computer vision pipeline. | Getting EU-based contracting terms with Eastern European delivery costs., Running a general IT consulting engagement that includes an AI component. |
| Typical project type | Dedicated team | Fixed project |
DataRoot Labs vs HYS Enterprise: pros and cons
| DataRoot Labs | |
|---|---|
| + | Research-oriented culture suits startups that need genuine ML experimentation, not templated builds. |
| + | Small team keeps communication direct between founders and the engineers doing the work. |
| + | Kyiv talent pool gives strong ML fundamentals at lower rates than US or Western European firms. |
| + | Computer vision work is a genuine specialty backed by named client projects. |
| - | Reported employee counts vary widely by source, making true capacity hard to verify |
| - | Limited public information on enterprise-scale delivery experience |
| HYS Enterprise | |
|---|---|
| + | Amsterdam headquarters simplifies EU-based contracting and data residency conversations. |
| + | Eastern European delivery hub keeps costs lower than a fully Western European team. |
| + | Nearly two decades of IT consulting experience. |
| + | Consistent, precisely reported headcount (213) rather than a wide estimated range. |
| - | AI is delivered as an extension of general IT consulting rather than a dedicated practice |
| - | Smaller team than most enterprise-scale firms on this list, limiting very large program capacity |
Who should choose DataRoot Labs?
A typical fit: standing up a machine learning proof of concept before a startup's seed round closes.
R&D-style engagement model built for startups, not enterprise procurement. Minimum engagement is not publicly disclosed. Works best with clients in Healthtech, Fintech, Retail & e-commerce.
Who should choose HYS Enterprise?
A typical fit: getting EU-based contracting terms with Eastern European delivery costs.
Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Decision matrix: DataRoot Labs vs HYS Enterprise
| 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 HYS Enterprise (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 HYS Enterprise
| Use case | DataRoot Labs fit | HYS Enterprise fit | Winner |
|---|---|---|---|
| Standing up a machine learning proof of concept before a startup's seed round closes. | Strong | Limited | DataRoot Labs |
| Getting a second opinion or independent build on a computer vision pipeline. | Strong | Strong | Both equally |
| Getting EU-based contracting terms with Eastern European delivery costs. | Strong | Strong | Both equally |
| Running a general IT consulting engagement that includes an AI component. | Limited | Strong | HYS Enterprise |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs HYS Enterprise
DataRoot Labs (4.4/5) is the stronger overall choice for most AI Development projects. R&D-style engagement model built for startups, not enterprise procurement.
HYS Enterprise (3.9/5) is worth a look if you need running a general IT consulting engagement that includes an AI component. If your situation matches that, HYS Enterprise is a competitive option.
Related comparisons
DataRoot Labs vs HYS Enterprise FAQ
Is DataRoot Labs better than HYS Enterprise?
DataRoot Labs (4.4/5) scores higher overall, but "better" depends on your use case. DataRoot Labs's strongest advantage: research-oriented culture suits startups that need genuine ML experimentation, not templated builds. HYS Enterprise's strongest advantage: amsterdam headquarters simplifies EU-based contracting and data residency conversations.
How do DataRoot Labs and HYS Enterprise differ in pricing?
DataRoot Labs uses dedicated team or fixed project pricing. HYS Enterprise 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: DataRoot Labs or HYS Enterprise?
DataRoot Labs 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 HYS Enterprise?
DataRoot Labs's primary differentiator is: R&D-style engagement model built for startups, not enterprise procurement. HYS Enterprise's primary differentiator is: amsterdam legal entity with an Eastern European delivery hub for EU-based contracting. They also differ in team size (11-50 vs 213), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthtech, Fintech vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.