Infosys vs InData Labs: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of InData Labs (3.9/5) overall. Infosys is the better choice for global enterprises needing AI services inside a full IT services contract. InData Labs is the stronger option for teams needing data science advisory services before an AI build. The right choice depends on your project size, budget, and required tech stack.
Infosys vs InData Labs: head-to-head summary
| Criterion | Infosys | InData Labs |
|---|---|---|
| Founded | 1981 | 2014 |
| HQ | Bengaluru, India | Limassol, Cyprus |
| Team size | 330,000+ | 51-200 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | One of the world's largest IT services firms, with a dedicated London-based advisory arm | A data-science-first service heritage predating the generative AI branding wave |
| Pricing model | Retainer, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, scikit-learn, TensorFlow |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Telecom | Retail & e-commerce, Gaming, Fintech, Healthcare |
Infosys vs InData Labs: overview
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. It runs a full suite of enterprise AI advisory services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and based in London, gives it a dedicated services arm distinct from the parent's much larger delivery organization.
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 service catalog centers on data science advisory, predictive analytics, natural language processing, and computer vision, positioning it closer to a data-first services firm than a generative-AI-branded competitor.
Services and capabilities: Infosys vs InData Labs
| Capability | Infosys | InData Labs |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs InData Labs
| Framework / platform | Infosys | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs InData Labs
| Criterion | Infosys | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Infosys vs InData Labs
| Dimension | Infosys | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Running an AI advisory service as part of a much larger enterprise IT services contract., Needing a globally recognized services provider for board-level procurement approval. | Getting a data science advisory service before committing to a full AI build., Adding computer vision strategy services to a product that already produces image or video data. |
| Typical project type | Retainer | Fixed project |
Infosys vs InData Labs: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale, 330,000-plus employees, supports the largest enterprise AI service programs. |
| + | The dedicated Infosys Consulting subsidiary adds a London-based advisory layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Service partnerships span multiple cloud platforms, avoiding lock-in. |
| - | AI services are one part of an enormous general IT services business, not a specialized focus |
| - | Scale generally means slower service setup than a smaller, more agile firm |
| InData Labs | |
|---|---|
| + | The founder's gaming background brings real-time data processing experience to computer vision services. |
| + | A Cyprus headquarters (EU-based) can simplify GDPR-aligned data handling for European clients. |
| + | Predictive analytics and NLP services predate the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible service 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 Infosys?
A typical fit: running an AI advisory service as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms, with a dedicated London-based advisory arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Who should choose InData Labs?
A typical fit: getting a data science advisory service before committing to a full AI build.
A data-science-first service 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: Infosys vs InData Labs
| 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 | Infosys |
| Your budget is at the lower end | Compare: Infosys (Not disclosed) vs InData Labs (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 InData Labs
| Use case | Infosys fit | InData Labs fit | Winner |
|---|---|---|---|
| Running an AI advisory service as part of a much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized services provider for board-level procurement approval. | Strong | Limited | Infosys |
| Getting a data science advisory service before committing to a full AI build. | Limited | Strong | InData Labs |
| Adding computer vision strategy services 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: Infosys vs InData Labs
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 advisory arm.
InData Labs (3.9/5) is worth a look if you need adding computer vision strategy services to a product that already produces image or video data. If your situation matches that, InData Labs is a competitive option.
Related comparisons
Infosys vs InData Labs FAQ
Is Infosys better than InData Labs?
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 service programs. InData Labs's strongest advantage: the founder's gaming background brings real-time data processing experience to computer vision services.
How do Infosys and InData Labs differ in pricing?
Infosys uses retainer, enterprise contracting 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: Infosys or InData Labs?
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 firm before shortlisting.
What are the main differences between Infosys and InData Labs?
Infosys's primary differentiator is: one of the world's largest IT services firms, with a dedicated London-based advisory arm. InData Labs's primary differentiator is: a data-science-first service heritage predating the generative AI branding wave. They also differ in team size (330,000+ vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Retail & e-commerce, Gaming).
Verify all details directly with each firm before making a decision.