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 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 heritage predating the generative AI branding wave | 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. Staff estimates swing between roughly 65 and 200 across sources, common for agencies blending core employees with project contractors. Its practice centers on data science, predictive analytics, natural language processing, computer vision, and large-scale data analytics, positioning it closer to a data-first consultancy than a generative-AI-branded agency.
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. It operates as an IT consulting and software development agency 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 produces 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 background brings real-time data processing experience to computer vision work. |
| + | Cyprus headquarters (EU-based) can simplify GDPR-aligned handling for European clients. |
| + | Predictive analytics and NLP expertise predates the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible specialty. |
| - | Reported team size varies close to 3x across public sources |
| - | Less generative AI and LLM-specific public case work than agencies built specifically around that |
| 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 agencies 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 heritage predating the generative AI branding wave. 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 produces 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 heritage predating the generative AI branding wave.
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 background brings real-time data processing 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 agency before shortlisting.
What are the main differences between InData Labs and HYS Enterprise?
InData Labs's primary differentiator is: data-science-first heritage predating the generative AI branding wave. 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 agency before making a decision.