Best AI Development Services

DataArt vs HYS Enterprise: full comparison for 2026

Quick verdict

DataArt (3.9/5) edges ahead of HYS Enterprise (3.9/5) overall. DataArt is the better choice for enterprises in finance or healthcare needing AI at global scale. 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.

DataArt vs HYS Enterprise: head-to-head summary

Criterion DataArt HYS Enterprise
Founded 1997 2007
HQ New York, United States Amsterdam, Netherlands
Team size 5,700+ 213
Rating 3.9 / 5 3.9 / 5
Primary differentiator Nearly 30 years of engineering history across 30-plus global delivery locations Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting
Pricing model Dedicated team or retainer Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, AWS, Azure
Industries served Financial services, Healthcare, Media & entertainment, Travel & hospitality Fintech, Healthcare, Retail & e-commerce

DataArt vs HYS Enterprise: overview

DataArt

DataArt was founded in 1997 by Eugene Goland and is headquartered in New York City, with roughly 5,700 employees spread across more than 30 locations in the US, Europe, the UK, Latin America, and the UAE. The firm delivers data, analytics, and AI platforms for finance, media and entertainment, healthcare and life sciences, retail, and travel and hospitality clients. Nearly three decades of operating history gives it a longer track record than almost every other firm on this list, though AI is delivered as part of a broader software engineering practice rather than a standalone specialty.

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: DataArt vs HYS Enterprise

Capability DataArt HYS Enterprise
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: DataArt vs HYS Enterprise

Framework / platform DataArt HYS Enterprise
Python
PyTorch N/A N/A
TensorFlow N/A N/A
LangChain N/A N/A
AWS
Azure
Kubernetes N/A

Pricing comparison: DataArt vs HYS Enterprise

Criterion DataArt HYS Enterprise
Minimum engagement Not disclosed Not disclosed
Engagement models Dedicated team, Retainer Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: DataArt vs HYS Enterprise

Dimension DataArt HYS Enterprise
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Media & entertainment Fintech, Healthcare, Retail & e-commerce
Best use cases Building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs., Running a long-term AI and data engineering program with a financially established vendor. 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

DataArt vs HYS Enterprise: pros and cons

DataArt
+ Nearly three decades of software engineering history, among the longest on this list.
+ 5,700-plus employees across 30-plus locations globally.
+ Named industry focus areas (finance, healthcare, travel) show real vertical depth.
+ Data and analytics platform experience supports AI work that needs solid data foundations.
- AI sits inside a much broader software engineering practice rather than being the firm's core identity
- Enterprise scale typically means slower onboarding than smaller, more agile AI boutiques
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 DataArt?

A typical fit: building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs.

Nearly 30 years of engineering history across 30-plus global delivery locations. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Media & entertainment, Travel & hospitality.

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: DataArt vs HYS Enterprise

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 DataArt
Your budget is at the lower end Compare: DataArt (Not disclosed) vs HYS Enterprise (Not disclosed)
You need specialist depth in a specific vertical DataArt
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: DataArt vs HYS Enterprise

Use case DataArt fit HYS Enterprise fit Winner
Building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs. Strong Limited DataArt
Running a long-term AI and data engineering program with a financially established vendor. Strong Strong Both equally
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: DataArt vs HYS Enterprise

DataArt (3.9/5) is the stronger overall choice for most AI Development projects. Nearly 30 years of engineering history across 30-plus global delivery locations.

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

DataArt vs HYS Enterprise FAQ

Is DataArt better than HYS Enterprise?

DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt's strongest advantage: nearly three decades of software engineering history, among the longest on this list. HYS Enterprise's strongest advantage: amsterdam headquarters simplifies EU-based contracting and data residency conversations.

How do DataArt and HYS Enterprise differ in pricing?

DataArt uses dedicated team or retainer 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: DataArt or HYS Enterprise?

DataArt 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 DataArt and HYS Enterprise?

DataArt's primary differentiator is: nearly 30 years of engineering history across 30-plus global delivery locations. 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 (5,700+ vs 213), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Fintech, Healthcare).

Verify all details directly with each company before making a decision.