Infosys vs DataArt: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of DataArt (3.9/5) overall. Infosys is the better choice for global enterprises needing AI consulting inside a full IT services contract. DataArt is the stronger option for enterprises in finance or healthcare needing AI consulting at global scale. The right choice depends on your project size, budget, and required tech stack.
Infosys vs DataArt: head-to-head summary
| Criterion | Infosys | DataArt |
|---|---|---|
| Founded | 1981 | 1997 |
| HQ | Bengaluru, India | New York, United States |
| Team size | 330,000+ | 5,700+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | One of the world's largest IT services firms with a dedicated London-based consulting arm | Nearly 30 years of engineering history across 30-plus global delivery locations |
| Pricing model | Retainer, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, AWS, Azure |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Telecom | Financial services, Healthcare, Media & entertainment, Travel & hospitality |
Infosys vs DataArt: overview
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. The company delivers enterprise AI consulting services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004, is headquartered in London, adding a dedicated strategy layer distinct from the parent's larger delivery organization.
DataArt
DataArt goes back to 1997, founded by Eugene Goland, and is headquartered in New York City with roughly 5,700 employees spread across more than 30 locations. The firm delivers data, analytics, and AI consulting for finance, media and entertainment, healthcare, retail, and travel and hospitality clients. Nearly three decades of history gives it a longer track record than almost every other firm here, though AI consulting is delivered as part of a broader software engineering practice.
Services and capabilities: Infosys vs DataArt
| Capability | Infosys | DataArt |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| MLOps | ✗ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs DataArt
| Framework / platform | Infosys | DataArt |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | ✓ |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs DataArt
| Criterion | Infosys | DataArt |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Infosys vs DataArt
| Dimension | Infosys | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Financial services, Healthcare, Media & entertainment |
| Best use cases | Running an AI consulting initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. | Getting an AI strategy assessment for finance or healthcare clients with strict compliance needs., Running a long-term AI consulting and data engineering program with a financially established vendor. |
| Typical project type | Retainer | Dedicated team |
Infosys vs DataArt: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise AI programs. |
| + | Dedicated Infosys Consulting subsidiary adds a London-based strategy layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Broad cloud and enterprise software partnerships reduce platform risk. |
| - | AI consulting is one part of an enormous general IT services business, not a specialized focus |
| - | Scale typically means slower engagement setup than smaller, more agile firms |
| DataArt | |
|---|---|
| + | Nearly three decades of software engineering history, among the longest reviewed here. |
| + | 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 consulting grounded in solid data foundations. |
| - | AI consulting 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 Infosys?
A typical fit: running an AI consulting initiative as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms with a dedicated London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Who should choose DataArt?
A typical fit: getting an AI strategy assessment 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: Infosys vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Infosys |
| Your budget is at the lower end | Compare: Infosys (Not disclosed) vs DataArt (Not disclosed) |
| You need specialist depth in a specific vertical | Infosys |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Infosys |
Use case fit: Infosys vs DataArt
| Use case | Infosys fit | DataArt fit | Winner |
|---|---|---|---|
| Running an AI consulting initiative as part of a much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized vendor for board-level procurement approval. | Strong | Strong | Both equally |
| Getting an AI strategy assessment for finance or healthcare clients with strict compliance needs. | Limited | Strong | DataArt |
| Running a long-term AI consulting and data engineering program with a financially established vendor. | Strong | Strong | Both equally |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Infosys vs DataArt
Infosys (4.0/5) is the stronger overall choice for most AI Consulting projects. One of the world's largest IT services firms with a dedicated London-based consulting arm.
DataArt (3.9/5) is worth a look if you need running a long-term AI consulting and data engineering program with a financially established vendor. If your situation matches that, DataArt is a competitive option.
Related comparisons
Infosys vs DataArt FAQ
Is Infosys better than DataArt?
Infosys (4.0/5) scores higher overall, but "better" depends on your use case. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise AI programs. DataArt's strongest advantage: nearly three decades of software engineering history, among the longest reviewed here.
How do Infosys and DataArt differ in pricing?
Infosys uses retainer, enterprise contracting 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: Infosys or DataArt?
Infosys 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 Infosys and DataArt?
Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. DataArt's primary differentiator is: nearly 30 years of engineering history across 30-plus global delivery locations. They also differ in team size (330,000+ vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.