Top AI Consulting Companies

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 consulting with Poland delivery. InData Labs is the stronger option for teams needing data science consulting 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 Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting Data-science-first 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 operates as an IT consulting and software development agency broadly, with AI consulting delivered as an extension of its general consulting and engineering practice.

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 practice centers on data science consulting, predictive analytics, natural language processing, and computer vision, positioning it closer to a data-first consultancy than a generative-AI-branded agency.

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 contracting terms with Eastern European delivery costs., Running a general IT consulting engagement that includes an AI strategy component. Getting a data science consulting assessment before committing to a full AI build., Adding computer vision strategy 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
+ 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 consulting is delivered as an extension of general IT consulting rather than a dedicated practice
- Smaller team than most enterprise-scale consultancies on this list, limiting very large program capacity
InData Labs
+ Founder's gaming background brings real-time data processing experience to computer vision work.
+ Cyprus headquarters (EU-based) can simplify GDPR-aligned data 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 firms built specifically around that

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.

Who should choose InData Labs?

A typical fit: getting a data science consulting assessment before committing to a full AI build.

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.

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 contracting terms with Eastern European delivery costs. Strong Strong Both equally
Running a general IT consulting engagement that includes an AI strategy component. Strong Strong Both equally
Getting a data science consulting assessment before committing to a full AI build. Strong Strong Both equally
Adding computer vision strategy 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. Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting.

InData Labs (3.9/5) is worth a look if you need adding computer vision strategy 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: amsterdam headquarters simplifies EU-based contracting and data residency conversations. InData Labs's strongest advantage: Founder's gaming background brings real-time data processing experience to computer vision work.

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 company before shortlisting.

What are the main differences between HYS Enterprise and InData Labs?

HYS Enterprise's primary differentiator is: amsterdam legal entity with an Eastern European delivery hub for EU-based contracting. InData Labs's primary differentiator is: data-science-first 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 company before making a decision.