InData Labs vs HYS Enterprise: full comparison for 2026
Quick verdict
InData Labs (4.1/5) edges ahead of HYS Enterprise (3.9/5) overall. InData Labs is the better choice for teams needing data science depth before an AI product build. 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.
InData Labs vs HYS Enterprise: head-to-head summary
| Criterion | InData Labs | HYS Enterprise |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Limassol, Cyprus | Amsterdam, Netherlands |
| Team size | 51-200 | 213 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Data-science-first practice rather than a generative-AI-branded service line | Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, scikit-learn, TensorFlow | Python, AWS, Azure |
| Industries served | Retail & e-commerce, Gaming, Fintech, Healthcare | Fintech, Healthcare, Retail & e-commerce |
InData Labs vs HYS Enterprise: overview
InData Labs
InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, with additional offices reported in Lithuania and the US. Employee figures vary from roughly 65 to 200 across different trackers, which is common for firms that mix core staff with project-based contractors. The company's practice centers on data science consulting: predictive analytics, natural language processing, computer vision, and big data analytics, positioned as a data-first alternative to firms that lead with generative AI branding.
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: InData Labs vs HYS Enterprise
| Capability | InData Labs | HYS Enterprise |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs HYS Enterprise
| Framework / platform | InData Labs | HYS Enterprise |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs HYS Enterprise
| Criterion | InData Labs | HYS Enterprise |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs HYS Enterprise
| Dimension | InData Labs | HYS Enterprise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Gaming, Fintech | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Building predictive models from an existing data warehouse or event stream., Adding computer vision to a product that already generates image or video data. | Getting EU-based contracting terms with Eastern European delivery costs., Running a general IT consulting engagement that includes an AI component. |
| Typical project type | Fixed project | Fixed project |
InData Labs vs HYS Enterprise: pros and cons
| InData Labs | |
|---|---|
| + | Founder's gaming-industry background brings real-time data experience to computer vision work. |
| + | EU-based headquarters (Cyprus) can simplify GDPR-aligned data handling for European clients. |
| + | Predictive analytics and NLP depth predate the generative AI hype cycle. |
| + | Decade-plus track record in a narrower, more defensible specialty than broad AI consulting. |
| - | Reported team size varies close to 3x across public sources |
| - | Less public-facing generative AI and LLM case work than firms built around that specifically |
| 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 InData Labs?
A typical fit: building predictive models from an existing data warehouse or event stream.
Data-science-first practice rather than a generative-AI-branded service line. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
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: InData Labs vs HYS Enterprise
| 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 | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not disclosed) vs HYS Enterprise (Not disclosed) |
| 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 | HYS Enterprise |
Use case fit: InData Labs vs HYS Enterprise
| Use case | InData Labs fit | HYS Enterprise fit | Winner |
|---|---|---|---|
| Building predictive models from an existing data warehouse or event stream. | Strong | Limited | InData Labs |
| Adding computer vision to a product that already generates image or video data. | Strong | Limited | InData Labs |
| Getting EU-based contracting terms with Eastern European delivery costs. | Limited | Strong | HYS Enterprise |
| Running a general IT consulting engagement that includes an AI component. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs HYS Enterprise
InData Labs (4.1/5) is the stronger overall choice for most AI Development projects. Data-science-first practice rather than a generative-AI-branded service line.
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
InData Labs vs HYS Enterprise FAQ
Is InData Labs better than HYS Enterprise?
InData Labs (4.1/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: Founder's gaming-industry background brings real-time data experience to computer vision work. HYS Enterprise's strongest advantage: amsterdam headquarters simplifies EU-based contracting and data residency conversations.
How do InData Labs and HYS Enterprise differ in pricing?
InData Labs uses fixed project or dedicated team 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: InData Labs or HYS Enterprise?
InData 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 InData Labs and HYS Enterprise?
InData Labs's primary differentiator is: data-science-first practice rather than a generative-AI-branded service line. 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 (51-200 vs 213), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Gaming vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.