ITRex Group vs DataArt: full comparison for 2026
Quick verdict
ITRex Group (4.3/5) edges ahead of DataArt (3.9/5) overall. ITRex Group is the better choice for enterprises needing AI tied to existing data infrastructure. DataArt is the stronger option for enterprises in finance or healthcare needing AI at global scale. The right choice depends on your project size, budget, and required tech stack.
ITRex Group vs DataArt: head-to-head summary
| Criterion | ITRex Group | DataArt |
|---|---|---|
| Founded | 2009 | 1997 |
| HQ | Santa Monica, United States | New York, United States |
| Team size | 201-250 | 5,700+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | Fifteen years pairing AI delivery with the underlying data engineering it depends on | Nearly 30 years of engineering history across 30-plus global delivery locations |
| Pricing model | Fixed project, dedicated team, or retainer | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, TensorFlow, AWS | Python, AWS, Azure |
| Industries served | Healthcare, Manufacturing, Retail & e-commerce, Logistics | Financial services, Healthcare, Media & entertainment, Travel & hospitality |
ITRex Group vs DataArt: overview
ITRex Group
ITRex was founded in 2009 and operates out of Southern California, with public employee counts ranging from about 221 to 250-plus across three continents depending on the source. The firm works across artificial intelligence, data analytics, and cloud computing for enterprise clients rather than treating AI as a standalone product line, which shows up in how its case studies mix AI delivery with broader data infrastructure work. That breadth is a trade-off: buyers get a partner comfortable with the surrounding data plumbing an AI system needs, not just the model itself.
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.
Services and capabilities: ITRex Group vs DataArt
| Capability | ITRex Group | DataArt |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: ITRex Group vs DataArt
| Framework / platform | ITRex Group | DataArt |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: ITRex Group vs DataArt
| Criterion | ITRex Group | DataArt |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team, Retainer | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: ITRex Group vs DataArt
| Dimension | ITRex Group | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Manufacturing, Retail & e-commerce | Financial services, Healthcare, Media & entertainment |
| Best use cases | Modernizing a legacy data warehouse into something an AI model can actually train on., Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. | 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. |
| Typical project type | Fixed project | Dedicated team |
ITRex Group vs DataArt: pros and cons
| ITRex Group | |
|---|---|
| + | Combines AI delivery with the data engineering work most AI projects actually need first. |
| + | Fifteen-plus years of operating history across three continents. |
| + | Enterprise client base gives the team practice navigating procurement and compliance cycles. |
| + | Cloud partnerships across both AWS and Azure reduce platform lock-in for clients. |
| - | Broader data-and-cloud focus means AI is one specialty among several, not the sole business |
| - | Employee counts differ meaningfully across public sources |
| 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 |
Who should choose ITRex Group?
A typical fit: modernizing a legacy data warehouse into something an AI model can actually train on.
Fifteen years pairing AI delivery with the underlying data engineering it depends on. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Manufacturing, Retail & e-commerce, Logistics.
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.
Decision matrix: ITRex Group vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ITRex Group |
| You need a large dedicated team for an ongoing programme | ITRex Group |
| Your budget is at the lower end | Compare: ITRex Group (Not disclosed) vs DataArt (Not disclosed) |
| You need specialist depth in a specific vertical | ITRex Group |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ITRex Group |
Use case fit: ITRex Group vs DataArt
| Use case | ITRex Group fit | DataArt fit | Winner |
|---|---|---|---|
| Modernizing a legacy data warehouse into something an AI model can actually train on. | Strong | Limited | ITRex Group |
| Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. | Strong | Strong | Both equally |
| Building AI-driven analytics platforms for finance or healthcare clients with strict compliance needs. | Limited | Strong | DataArt |
| Running a long-term AI and data engineering program with a financially established vendor. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ITRex Group vs DataArt
ITRex Group (4.3/5) is the stronger overall choice for most AI Development projects. Fifteen years pairing AI delivery with the underlying data engineering it depends on.
DataArt (3.9/5) is worth a look if you need running a long-term AI and data engineering program with a financially established vendor. If your situation matches that, DataArt is a competitive option.
Related comparisons
ITRex Group vs DataArt FAQ
Is ITRex Group better than DataArt?
ITRex Group (4.3/5) scores higher overall, but "better" depends on your use case. ITRex Group's strongest advantage: combines AI delivery with the data engineering work most AI projects actually need first. DataArt's strongest advantage: nearly three decades of software engineering history, among the longest on this list.
How do ITRex Group and DataArt differ in pricing?
ITRex Group uses fixed project, dedicated team, or retainer pricing. DataArt uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ITRex Group or DataArt?
ITRex Group 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 ITRex Group and DataArt?
ITRex Group's primary differentiator is: fifteen years pairing AI delivery with the underlying data engineering it depends on. DataArt's primary differentiator is: nearly 30 years of engineering history across 30-plus global delivery locations. They also differ in team size (201-250 vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Manufacturing vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.