Andersen vs Infosys: full comparison for 2026
Quick verdict
Andersen (4.1/5) edges ahead of Infosys (3.9/5) overall. Andersen is the better choice for enterprises wanting generative AI paired with broad platform engineering. Infosys is the stronger option for global enterprises needing generative AI inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.
Andersen vs Infosys: head-to-head summary
| Criterion | Andersen | Infosys |
|---|---|---|
| Founded | 2007 | 1981 |
| HQ | Warsaw, Poland | Bengaluru, India |
| Team size | 3,500+ | 330,000+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | 3,500-plus specialists across 20 global offices with a named AI and data practice | One of the world's largest IT services firms with a dedicated London-based consulting arm |
| Pricing model | Dedicated team or retainer | Retainer, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, .NET | Python, OpenAI API, AWS |
| Industries served | Financial services, Healthcare, Logistics, Automotive | Financial services, Manufacturing, Retail & e-commerce, Telecom |
Andersen vs Infosys: overview
Andersen
Andersen was founded in 2007 and lists its headquarters in Warsaw, Poland, with more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice covers generative AI consulting, machine learning, data engineering, and robotic process integration, alongside a broader stack spanning .NET, Java, Python, PHP, and Go. Industries served include financial services, healthcare, logistics, automotive, and media.
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 generative AI development services alongside automation, cybersecurity, and advanced data analytics, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and headquartered in London, adds a dedicated strategy layer on top. At this scale, generative AI development is one thread inside one of the world's largest IT services organizations.
Services and capabilities: Andersen vs Infosys
| Capability | Andersen | Infosys |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Andersen vs Infosys
| Framework / platform | Andersen | Infosys |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Andersen vs Infosys
| Criterion | Andersen | Infosys |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Andersen vs Infosys
| Dimension | Andersen | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Logistics | Financial services, Manufacturing, Retail & e-commerce |
| Best use cases | Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside a generative AI project. | Running a generative 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 | Dedicated team | Retainer |
Andersen vs Infosys: pros and cons
| Andersen | |
|---|---|
| + | Large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. |
| + | Named AI and data practice, not a generic add-on to broader software services. |
| + | Nearly two decades of software delivery history across multiple technology stacks. |
| + | Vertical coverage spans financial services, healthcare, logistics, and automotive. |
| - | Generative AI is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than boutique firms |
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs. |
| + | Dedicated Infosys Consulting subsidiary adds a strategy layer alongside technical delivery. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Broad cloud and enterprise software partnerships reduce platform risk. |
| - | Generative AI 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 |
Who should choose Andersen?
A typical fit: running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI and data practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.
Who should choose Infosys?
A typical fit: running a generative AI 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.
Decision matrix: Andersen vs Infosys
| 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 | Andersen |
| Your budget is at the lower end | Compare: Andersen (Not disclosed) vs Infosys (Not disclosed) |
| You need specialist depth in a specific vertical | Andersen |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Andersen |
Use case fit: Andersen vs Infosys
| Use case | Andersen fit | Infosys fit | Winner |
|---|---|---|---|
| Running a generative AI initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside a generative AI project. | Strong | Limited | Andersen |
| Running a generative 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. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Andersen vs Infosys
Andersen (4.1/5) is the stronger overall choice for most Generative AI Development projects. 3,500-plus specialists across 20 global offices with a named AI and data practice.
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.
Related comparisons
Andersen vs Infosys FAQ
Is Andersen better than Infosys?
Andersen (4.1/5) scores higher overall, but "better" depends on your use case. Andersen's strongest advantage: large global footprint (20 offices, 16 development centers) supports concurrent enterprise programs. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.
How do Andersen and Infosys differ in pricing?
Andersen uses dedicated team or retainer 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: Andersen 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 Andersen and Infosys?
Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI and data practice. Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. They also differ in team size (3,500+ vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Manufacturing).
Verify all details directly with each company before making a decision.