HYS Enterprise vs InData Labs: full comparison for 2026
Quick verdict
HYS Enterprise (3.9/5) edges ahead of InData Labs (3.9/5) overall. HYS Enterprise is the better choice for EU clients wanting Netherlands-based AI advisory services with Poland delivery. InData Labs is the stronger option for teams needing data science advisory services before an AI build. The right choice depends on your project size, budget, and required tech stack.
HYS Enterprise vs InData Labs: head-to-head summary
| Criterion | HYS Enterprise | InData Labs |
|---|---|---|
| Founded | 2007 | 2014 |
| HQ | Amsterdam, Netherlands | Limassol, Cyprus |
| Team size | 213 | 51-200 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | An Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting | A data-science-first service heritage predating the generative AI branding wave |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, scikit-learn, TensorFlow |
| Industries served | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech, Healthcare |
HYS Enterprise vs InData Labs: overview
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 runs as an IT consulting and software development firm broadly, with AI advisory delivered as an extension of that general service practice rather than a dedicated unit.
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. Its service catalog centers on data science advisory, predictive analytics, natural language processing, and computer vision, positioning it closer to a data-first services firm than a generative-AI-branded competitor.
Services and capabilities: HYS Enterprise vs InData Labs
| Capability | HYS Enterprise | InData Labs |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: HYS Enterprise vs InData Labs
| Framework / platform | HYS Enterprise | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: HYS Enterprise vs InData Labs
| Criterion | HYS Enterprise | InData Labs |
|---|---|---|
| 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: HYS Enterprise vs InData Labs
| Dimension | HYS Enterprise | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Getting EU-based service contracting terms with Eastern European delivery costs., Running a general IT advisory service that includes an AI strategy component. | Getting a data science advisory service before committing to a full AI build., Adding computer vision strategy services to a product that already produces image or video data. |
| Typical project type | Fixed project | Fixed project |
HYS Enterprise vs InData Labs: pros and cons
| HYS Enterprise | |
|---|---|
| + | An Amsterdam headquarters simplifies EU-based service contracting and data residency conversations. |
| + | An Eastern European delivery hub keeps costs lower than a fully Western European team. |
| + | Nearly two decades of IT advisory service experience. |
| + | A consistent, precisely reported headcount (213) rather than a wide estimated range. |
| - | AI advisory is delivered as an extension of general IT consulting rather than a dedicated service line |
| - | A smaller team than most enterprise-scale services firms on this list limits very large program capacity |
| InData Labs | |
|---|---|
| + | The founder's gaming background brings real-time data processing experience to computer vision services. |
| + | A Cyprus headquarters (EU-based) can simplify GDPR-aligned data handling for European clients. |
| + | Predictive analytics and NLP services predate the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible service specialty. |
| - | Reported team size varies close to 3x across public sources |
| - | Less generative AI and LLM-specific public case work than firms built specifically around that |
Who should choose HYS Enterprise?
A typical fit: getting EU-based service contracting terms with Eastern European delivery costs.
An Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Who should choose InData Labs?
A typical fit: getting a data science advisory service before committing to a full AI build.
A data-science-first service heritage predating the generative AI branding wave. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Decision matrix: HYS Enterprise vs InData Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | HYS Enterprise |
| You need a large dedicated team for an ongoing programme | HYS Enterprise |
| Your budget is at the lower end | Compare: HYS Enterprise (Not disclosed) vs InData Labs (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: HYS Enterprise vs InData Labs
| Use case | HYS Enterprise fit | InData Labs fit | Winner |
|---|---|---|---|
| Getting EU-based service contracting terms with Eastern European delivery costs. | Strong | Strong | Both equally |
| Running a general IT advisory service that includes an AI strategy component. | Strong | Strong | Both equally |
| Getting a data science advisory service before committing to a full AI build. | Strong | Strong | Both equally |
| Adding computer vision strategy services to a product that already produces image or video data. | Limited | Strong | InData Labs |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: HYS Enterprise vs InData Labs
HYS Enterprise (3.9/5) is the stronger overall choice for most AI Consulting projects. An Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting.
InData Labs (3.9/5) is worth a look if you need adding computer vision strategy services to a product that already produces image or video data. If your situation matches that, InData Labs is a competitive option.
Related comparisons
HYS Enterprise vs InData Labs FAQ
Is HYS Enterprise better than InData Labs?
HYS Enterprise (3.9/5) scores higher overall, but "better" depends on your use case. HYS Enterprise's strongest advantage: an Amsterdam headquarters simplifies EU-based service contracting and data residency conversations. InData Labs's strongest advantage: the founder's gaming background brings real-time data processing experience to computer vision services.
How do HYS Enterprise and InData Labs differ in pricing?
HYS Enterprise uses fixed project or dedicated team pricing. InData Labs 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: HYS Enterprise or InData Labs?
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 firm before shortlisting.
What are the main differences between HYS Enterprise and InData Labs?
HYS Enterprise's primary differentiator is: an Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting. InData Labs's primary differentiator is: a data-science-first service heritage predating the generative AI branding wave. They also differ in team size (213 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Retail & e-commerce, Gaming).
Verify all details directly with each firm before making a decision.