Netguru vs Infosys: full comparison for 2026
Quick verdict
Netguru (3.8/5) edges ahead of Infosys (3.1/5) overall. Netguru is the better choice for digital product companies wanting a proven internal-agent case study translated to client services. 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.
Netguru vs Infosys: head-to-head summary
| Criterion | Netguru | Infosys |
|---|---|---|
| Founded | 2008 | 1981 |
| HQ | Poznań, Poland | Bangalore, India |
| Team size | 501-1000 | 300000 |
| Rating | 3.8 / 5 | 3.1 / 5 |
| Best for | Digital product companies wanting a proven internal-agent case study translated to client services | Enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership |
| Pricing model | Dedicated team, retainer | Retainer, dedicated team, T&M |
| Min. engagement | $25K | $150K |
| Primary tech stack | OpenAI, AWS, Node.js | GCP, AWS, Azure |
| Industries served | SaaS, Fintech, Retail | Fintech, Retail, Telecom, Manufacturing |
Netguru vs Infosys: overview
Netguru
Netguru was founded in 2008 and is headquartered in Poznań, Poland, with 501-1,000 employees across offices including Warsaw, Kraków, Wrocław, Gdańsk, and Białystok. The company built Omega, an internal AI agent that automates tasks and guides sales reps through the sales process, and offers similar agent-building services on dedicated-team, retainer, and fixed-project terms.
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: Netguru vs Infosys
| Capability | Netguru | Infosys |
|---|---|---|
| Workflow integration | ✓ | ✗ |
| Enterprise automation | ✗ | ✓ |
| Task automation | ✓ | ✗ |
| Agent orchestration | ✗ | ✗ |
| LLM integration | ✗ | ✓ |
| Customer support agents | ✓ | ✗ |
Tech stack comparison: Netguru vs Infosys
| Framework / platform | Netguru | Infosys |
|---|---|---|
| LangChain | N/A | 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: Netguru vs Infosys
| Criterion | Netguru | Infosys |
|---|---|---|
| Minimum engagement | $25K | $150K |
| Engagement models | Dedicated team, Retainer, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Netguru vs Infosys
| Dimension | Netguru | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Retail | Fintech, Retail, Telecom |
| Best use cases | Sales process automation services, Customer support agent deployment | Pre-built enterprise agent deployment (Topaz), Google Cloud Vertex AI agent integration |
| Typical project type | Dedicated team | Retainer |
Netguru vs Infosys: pros and cons
| Netguru | |
|---|---|
| + | Internal production agent (Omega) demonstrates real operational agent use, not just client pitches |
| + | Established digital product consultancy since 2008 with strong startup/scaleup portfolio |
| + | Multiple Poland offices provide solid EU service delivery coverage |
| - | Broader digital-product identity means AI agents are one of several service lines |
| - | Internal agent case study (Omega) is sales-process-specific, less evidence in other service domains |
| 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 Netguru?
Netguru is the right choice for digital product companies wanting a proven internal-agent case study translated to client services.
Publicly documented internal production agent (Omega) as proof of applied agent-building capability. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, 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: Netguru vs Infosys
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Netguru |
| You need a large dedicated team for an ongoing programme | Netguru |
| Your budget is at the lower end | Netguru |
| 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: Netguru vs Infosys
| Use case | Netguru fit | Infosys fit | Winner |
|---|---|---|---|
| Sales process automation services | Strong | Limited | Netguru |
| Customer support agent deployment | Strong | Limited | Netguru |
| 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: Netguru vs Infosys
Netguru (3.8/5) is the stronger overall choice for most AI Agent Development projects. Publicly documented internal production agent (Omega) as proof of applied agent-building capability. It is best for digital product companies wanting a proven internal-agent case study translated to client services.
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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Netguru vs Infosys FAQ
Is Netguru better than Infosys?
Netguru (3.8/5) scores higher overall, but "better" depends on your use case. Netguru is better for digital product companies wanting a proven internal-agent case study translated to client services. Infosys is better for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
How do Netguru and Infosys differ in pricing?
Netguru uses dedicated team, retainer pricing with a minimum engagement of $25K. 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: Netguru or Infosys?
Netguru 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 Netguru and Infosys?
Netguru's primary differentiator is: publicly documented internal production agent (omega) as proof of applied agent-building capability. 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 (501-1000 vs 300000), minimum engagement ($25K vs $150K), and primary industries served (SaaS, Fintech vs Fintech, Retail).