Infosys vs N-iX: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of N-iX (4.0/5) overall. Infosys is the better choice for global enterprises needing AI advisory inside a full IT services contract. N-iX is the stronger option for enterprises wanting AI readiness assessment paired with cloud engineering. The right choice depends on your project size, budget, and required tech stack.
Infosys vs N-iX: head-to-head summary
| Criterion | Infosys | N-iX |
|---|---|---|
| Founded | 1981 | 2002 |
| HQ | Bengaluru, India | Valletta, Malta |
| Team size | 330,000+ | 2,400+ |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | One of the world's largest IT services firms, with a dedicated London-based advisory arm | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens |
| 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 | Automotive, Financial services, Retail & e-commerce, Telecom |
Infosys vs N-iX: 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 advisory arm distinct from the parent's much larger delivery organization.
N-iX
N-iX has run since 2002, with headquarters reported in Valletta, Malta, delivery centers across Poland, Ukraine, Romania, and Bulgaria, and more than 2,400 professionals worldwide. Publicly named clients include Bosch and Siemens. Its AI practice has delivered more than 50 projects, spanning readiness assessment, LLM engineering, custom agents, multi-agent orchestration, and RAG pipelines, all sitting inside a much larger cloud, data, and embedded software business.
Services and capabilities: Infosys vs N-iX
| Capability | Infosys | N-iX |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs N-iX
| Framework / platform | Infosys | N-iX |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | ✓ |
| LangChain | N/A | ✓ |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs N-iX
| Criterion | Infosys | N-iX |
|---|---|---|
| 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 N-iX
| Dimension | Infosys | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Automotive, Financial services, Retail & e-commerce |
| Best use cases | Running an AI advisory initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. | Running an AI readiness assessment before a larger transformation program., Building multi-agent systems that need to integrate with existing enterprise cloud infrastructure. |
| Typical project type | Retainer | Dedicated team |
Infosys vs N-iX: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale, 330,000-plus employees, supports the largest enterprise AI programs. |
| + | The dedicated Infosys Consulting subsidiary adds a London-based advisory layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Cloud and enterprise software partnerships span multiple platforms, avoiding lock-in. |
| - | AI advisory is one part of an enormous general IT services business, not a specialized focus |
| - | Scale generally means slower engagement setup than a smaller, more agile firm |
| N-iX | |
|---|---|
| + | Named enterprise clients (Bosch, Siemens, eBay, Questrade) provide verifiable delivery credibility. |
| + | Over 2,400 staff support large, multi-year engagements without straining capacity. |
| + | The AI practice spans the full pipeline, from readiness assessment through multi-agent orchestration. |
| + | A multi-country European footprint gives clients flexibility on timezone and cost. |
| - | AI advisory is one practice area within a much larger engineering business, not the sole focus |
| - | Enterprise scale generally means a longer, more formal sales and onboarding process |
Who should choose Infosys?
A typical fit: running an AI advisory 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 advisory arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Who should choose N-iX?
A typical fit: running an AI readiness assessment before a larger transformation program.
50-plus delivered AI projects with named enterprise clients like Bosch and Siemens. Minimum engagement is not publicly disclosed. Works best with clients in Automotive, Financial services, Retail & e-commerce, Telecom.
Decision matrix: Infosys vs N-iX
| 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 N-iX (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 N-iX
| Use case | Infosys fit | N-iX fit | Winner |
|---|---|---|---|
| Running an AI advisory 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 | Limited | Infosys |
| Running an AI readiness assessment before a larger transformation program. | Strong | Strong | Both equally |
| Building multi-agent systems that need to integrate with existing enterprise cloud infrastructure. | Limited | Strong | N-iX |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Infosys vs N-iX
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.
N-iX (4.0/5) is worth a look if you need building multi-agent systems that need to integrate with existing enterprise cloud infrastructure. If your situation matches that, N-iX is a competitive option.
Related comparisons
Infosys vs N-iX FAQ
Is Infosys better than N-iX?
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. N-iX's strongest advantage: named enterprise clients (Bosch, Siemens, eBay, Questrade) provide verifiable delivery credibility.
How do Infosys and N-iX differ in pricing?
Infosys uses retainer, enterprise contracting pricing. N-iX 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 N-iX?
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 agency before shortlisting.
What are the main differences between Infosys and N-iX?
Infosys's primary differentiator is: one of the world's largest IT services firms, with a dedicated London-based advisory arm. N-iX's primary differentiator is: 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens. They also differ in team size (330,000+ vs 2,400+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Automotive, Financial services).
Verify all details directly with each agency before making a decision.