InData Labs vs Infosys: full comparison for 2026
Quick verdict
InData Labs (4.2/5) edges ahead of Infosys (3.9/5) overall. InData Labs is the better choice for EU clients needing GDPR-aligned data science handling. Infosys is the stronger option for global enterprises needing AI inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Infosys: head-to-head summary
| Criterion | InData Labs | Infosys |
|---|---|---|
| Founded | 2014 | 1981 |
| HQ | Limassol, Cyprus | Bengaluru, India |
| Team size | 51-200 | 330,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients | One of the world's largest IT services firms with a London-based consulting arm |
| Pricing model | Fixed project or dedicated team | Retainer, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, scikit-learn, TensorFlow | Python, AWS, Azure |
| Industries served | Retail & e-commerce, Gaming, Fintech, Healthcare | Financial services, Manufacturing, Retail & e-commerce, Telecom |
InData Labs vs Infosys: overview
InData Labs
InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, an EU member state, 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, predictive analytics, natural language processing, and computer vision, with a genuinely EU legal base that simplifies GDPR-aligned data handling for European clients compared to firms operating entirely outside EU jurisdiction.
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 a comprehensive suite of enterprise AI development services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004, is headquartered in London, giving it a UK-based (though post-Brexit non-EU) consulting presence alongside its Indian delivery scale.
Services and capabilities: InData Labs vs Infosys
| Capability | InData Labs | Infosys |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs Infosys
| Framework / platform | InData Labs | Infosys |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| OpenAI API | N/A | N/A |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: InData Labs vs Infosys
| Criterion | InData Labs | Infosys |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs Infosys
| Dimension | InData Labs | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Gaming, Fintech | Financial services, Manufacturing, Retail & e-commerce |
| Best use cases | Building predictive models from an existing data warehouse with EU data residency requirements., Adding computer vision to a European product that already produces image or video data. | Running an AI initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. |
| Typical project type | Fixed project | Retainer |
InData Labs vs Infosys: pros and cons
| InData Labs | |
|---|---|
| + | Cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients. |
| + | Founder's gaming background brings real-time data processing experience to computer vision work. |
| + | 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 |
| 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. |
| - | London consulting entity sits outside EU jurisdiction post-Brexit |
| - | Scale typically means slower engagement setup than smaller, more agile firms |
Who should choose InData Labs?
A typical fit: building predictive models from an existing data warehouse with EU data residency requirements.
EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Who should choose Infosys?
A typical fit: running an AI initiative as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms with a London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Decision matrix: InData Labs vs Infosys
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not disclosed) vs Infosys (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 | Infosys |
Use case fit: InData Labs vs Infosys
| Use case | InData Labs fit | Infosys fit | Winner |
|---|---|---|---|
| Building predictive models from an existing data warehouse with EU data residency requirements. | Strong | Limited | InData Labs |
| Adding computer vision to a European product that already produces image or video data. | Strong | Limited | InData Labs |
| Running an AI 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. | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs Infosys
InData Labs (4.2/5) is the stronger overall choice for most AI Development projects. EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients.
Infosys (3.9/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.
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InData Labs vs Infosys FAQ
Is InData Labs better than Infosys?
InData Labs (4.2/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise AI programs.
How do InData Labs and Infosys differ in pricing?
InData Labs uses fixed project or dedicated team pricing. Infosys uses retainer, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or Infosys?
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 InData Labs and Infosys?
InData Labs's primary differentiator is: EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. Infosys's primary differentiator is: one of the world's largest IT services firms with a London-based consulting arm. They also differ in team size (51-200 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Gaming vs Financial services, Manufacturing).
Verify all details directly with each company before making a decision.