Azumo vs Infosys: full comparison for 2026
Quick verdict
Azumo (3.4/5) edges ahead of Infosys (3.1/5) overall. Azumo is the better choice for buyers wanting nearshore service cost savings without giving up US-based account management. 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.
Azumo vs Infosys: head-to-head summary
| Criterion | Azumo | Infosys |
|---|---|---|
| Founded | 2016 | 1981 |
| HQ | San Francisco, USA | Bangalore, India |
| Team size | 51-100 | 300000 |
| Rating | 3.4 / 5 | 3.1 / 5 |
| Best for | Buyers wanting nearshore service cost savings without giving up US-based account management | Enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership |
| Pricing model | Dedicated team, T&M | Retainer, dedicated team, T&M |
| Min. engagement | $20K | $150K |
| Primary tech stack | OpenAI, LangChain, AWS | GCP, AWS, Azure |
| Industries served | Media, Healthcare, Retail | Fintech, Retail, Telecom, Manufacturing |
Azumo vs Infosys: overview
Azumo
Azumo was founded in 2016 and is headquartered in San Francisco, California, with roughly 51-200 employees (79 reported directly). The company helps organizations design, build, and scale intelligent AI applications through nearshore and onshore engineering teams on dedicated-team or T&M terms, with referral clients including Meta, Omnicom, and UnitedHealth.
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: Azumo vs Infosys
| Capability | Azumo | Infosys |
|---|---|---|
| Workflow integration | ✗ | ✗ |
| Enterprise automation | ✗ | ✓ |
| Task automation | ✓ | ✗ |
| Agent orchestration | ✗ | ✗ |
| LLM integration | ✓ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Infosys
| Framework / platform | Azumo | Infosys |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Azumo vs Infosys
| Criterion | Azumo | Infosys |
|---|---|---|
| Minimum engagement | $20K | $150K |
| Engagement models | Dedicated team, T&M, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Infosys
| Dimension | Azumo | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media, Healthcare, Retail | Fintech, Retail, Telecom |
| Best use cases | Nearshore AI application engineering services, LLM-powered feature development | Pre-built enterprise agent deployment (Topaz), Google Cloud Vertex AI agent integration |
| Typical project type | Dedicated team | Retainer |
Azumo vs Infosys: pros and cons
| Azumo | |
|---|---|
| + | Referral-driven growth with named enterprise clients (Meta, UnitedHealth) signals strong repeat trust |
| + | Nearshore/onshore blend balances cost and real-time collaboration |
| + | US HQ simplifies contracting for North American buyers |
| - | Smaller team (~79-100) limits capacity for very large concurrent service programs |
| - | Newer AI-application focus (relative to 2016 founding) has a shorter dedicated agent service track record |
| 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 Azumo?
Azumo is the right choice for buyers wanting nearshore service cost savings without giving up US-based account management.
Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth). Minimum engagement starts at $20K. Works best with clients in Media, Healthcare, Retail.
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: Azumo vs Infosys
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Azumo |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Azumo |
| 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 | Both may offer discovery engagements |
Use case fit: Azumo vs Infosys
| Use case | Azumo fit | Infosys fit | Winner |
|---|---|---|---|
| Nearshore AI application engineering services | Strong | Limited | Azumo |
| LLM-powered feature development | Strong | Limited | Azumo |
| 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: Azumo vs Infosys
Azumo (3.4/5) is the stronger overall choice for most AI Agent Development projects. Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth). It is best for buyers wanting nearshore service cost savings without giving up US-based account management.
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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Azumo vs Infosys FAQ
Is Azumo better than Infosys?
Azumo (3.4/5) scores higher overall, but "better" depends on your use case. Azumo is better for buyers wanting nearshore service cost savings without giving up US-based account management. Infosys is better for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
How do Azumo and Infosys differ in pricing?
Azumo uses dedicated team, t&m pricing with a minimum engagement of $20K. 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: Azumo 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 Azumo and Infosys?
Azumo's primary differentiator is: primarily referral-driven client base including named enterprise brands (meta, unitedhealth). 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 (51-100 vs 300000), minimum engagement ($20K vs $150K), and primary industries served (Media, Healthcare vs Fintech, Retail).