DXC Technology vs Infosys: full comparison for 2026
Quick verdict
DXC Technology (3.7/5) edges ahead of Infosys (3.1/5) overall. DXC Technology is the better choice for enterprises wanting a named AI-lab partnership (Anthropic) with a formal Claude-certification program. Infosys is the stronger option for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. The right choice depends on your project size, budget, and required tech stack.
DXC Technology vs Infosys: head-to-head summary
| Criterion | DXC Technology | Infosys |
|---|---|---|
| Founded | 2017 | 1981 |
| HQ | Ashburn, VA, USA | Bangalore, India |
| Team size | 125000 | 300000 |
| Rating | 3.7 / 5 | 3.1 / 5 |
| Best for | Enterprises wanting a named AI-lab partnership (Anthropic) with a formal Claude-certification program | Enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership |
| Pricing model | Retainer, dedicated team, T&M | Retainer, dedicated team, T&M |
| Min. engagement | $100K | $150K |
| Primary tech stack | Anthropic Claude, AWS, Azure | GCP, AWS, Azure |
| Industries served | Fintech, Healthcare, Manufacturing, Public sector | Fintech, Retail, Telecom, Manufacturing |
DXC Technology vs Infosys: overview
DXC Technology
DXC Technology was founded on April 3, 2017 through the merger of Computer Sciences Corporation and HP Enterprise Services, and is headquartered in Ashburn, Virginia, with roughly 125,000 employees. The firm partners with Anthropic to embed agentic AI into mission-critical environments and has trained tens of thousands of Claude-certified forward-deployed engineers, offering AdvisoryX services that guide organizations from AI strategy to execution.
Infosys
Infosys was founded in 1981 by seven co-founders including N.R. Narayana Murthy and is headquartered in Bangalore, India, with over 300,000 employees. The firm launched more than 200 enterprise AI agents through its Infosys Topaz AI offerings in partnership with Google Cloud's Vertex AI Platform, and its Agentic Foundry delivers pre-built agents, open frameworks, and responsible AI tools on retainer or dedicated-team terms.
Services and capabilities: DXC Technology vs Infosys
| Capability | DXC Technology | Infosys |
|---|---|---|
| Workflow integration | ✗ | ✗ |
| Enterprise automation | ✓ | ✓ |
| Task automation | ✗ | ✗ |
| Agent orchestration | ✓ | ✗ |
| LLM integration | ✗ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: DXC Technology vs Infosys
| Framework / platform | DXC Technology | Infosys |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | ✓ | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: DXC Technology vs Infosys
| Criterion | DXC Technology | Infosys |
|---|---|---|
| Minimum engagement | $100K | $150K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DXC Technology vs Infosys
| Dimension | DXC Technology | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Manufacturing | Fintech, Retail, Telecom |
| Best use cases | Anthropic Claude-based agent deployment, Mission-critical agentic AI services | Pre-built enterprise agent deployment (Topaz), Google Cloud Vertex AI agent integration |
| Typical project type | Retainer | Retainer |
DXC Technology vs Infosys: pros and cons
| DXC Technology | |
|---|---|
| + | Direct, named partnership with Anthropic and a large Claude-certified engineer base |
| + | AdvisoryX bridges strategy-to-execution rather than stopping at advisory |
| + | 125,000-person scale supports large, mission-critical enterprise programs |
| - | High minimum engagement puts it out of reach for smaller buyers |
| - | Formed via 2017 merger, so pre-merger legacy systems integration can add complexity to engagements |
| Infosys | |
|---|---|
| + | 45+ years of enterprise IT services history |
| + | 200+ pre-built enterprise agents (Topaz) already launched, backed by a named Google Cloud partnership |
| + | 300,000+ employees support the largest, most complex global service programs |
| - | Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| - | Massive scale means minimal boutique-style senior-partner attention on individual engagements |
Who should choose DXC Technology?
DXC Technology is the right choice for enterprises wanting a named AI-lab partnership (Anthropic) with a formal Claude-certification program.
Direct partnership with Anthropic, with tens of thousands of Claude-certified engineers — a rare, independently verifiable AI-lab relationship. Minimum engagement starts at $100K. Works best with clients in Fintech, Healthcare, Manufacturing, Public sector.
Who should choose Infosys?
Infosys is the right choice for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
200+ named enterprise AI agents already launched via Topaz, built on Google Cloud's Vertex AI Platform. Minimum engagement starts at $150K. Works best with clients in Fintech, Retail, Telecom, Manufacturing.
Decision matrix: DXC Technology 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 | DXC Technology |
| Your budget is at the lower end | DXC Technology |
| You need specialist depth in a specific vertical | DXC Technology |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: DXC Technology vs Infosys
| Use case | DXC Technology fit | Infosys fit | Winner |
|---|---|---|---|
| Anthropic Claude-based agent deployment | Strong | Limited | DXC Technology |
| Mission-critical agentic AI services | Strong | Limited | DXC Technology |
| Pre-built enterprise agent deployment (Topaz) | Limited | Strong | Infosys |
| Google Cloud Vertex AI agent integration | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DXC Technology vs Infosys
DXC Technology (3.7/5) is the stronger overall choice for most AI Agent Development projects. Direct partnership with Anthropic, with tens of thousands of Claude-certified engineers — a rare, independently verifiable AI-lab relationship. It is best for enterprises wanting a named AI-lab partnership (Anthropic) with a formal Claude-certification program.
Infosys (3.1/5) is the better choice when enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. If your situation matches those criteria, Infosys is a competitive option.
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DXC Technology vs Infosys FAQ
Is DXC Technology better than Infosys?
DXC Technology (3.7/5) scores higher overall, but "better" depends on your use case. DXC Technology is better for enterprises wanting a named AI-lab partnership (Anthropic) with a formal Claude-certification program. Infosys is better for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
How do DXC Technology and Infosys differ in pricing?
DXC Technology uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Infosys uses retainer, dedicated team, t&m pricing with a minimum engagement of $150K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DXC Technology 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 provider before shortlisting.
What are the main differences between DXC Technology and Infosys?
DXC Technology's primary differentiator is: direct partnership with anthropic, with tens of thousands of claude-certified engineers — a rare, independently verifiable ai-lab relationship. Infosys's primary differentiator is: 200+ named enterprise ai agents already launched via topaz, built on google cloud's vertex ai platform. They also differ in team size (125000 vs 300000), minimum engagement ($100K vs $150K), and primary industries served (Fintech, Healthcare vs Fintech, Retail).