Azumo vs N-iX: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of N-iX (3.9/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. N-iX is the stronger option for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. The right choice depends on your project size, budget, and required tech stack.
Azumo vs N-iX: head-to-head summary
| Criterion | Azumo | N-iX |
|---|---|---|
| Founded | 2016 | 2002 |
| HQ | San Francisco, CA, USA | Lviv, Ukraine |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program. |
| Pricing model | Dedicated team, staff augmentation | Dedicated team, staff augmentation |
| Min. engagement | $20K (per company website; independently unverifiable) | Not published |
| Primary tech stack | Python, LangGraph, CrewAI | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS |
Azumo vs N-iX: overview
Azumo
Azumo is a nearshore software development firm founded in 2016 and headquartered in San Francisco, with roughly 110 employees spread across South America, North America, and Asia. It explicitly builds production-grade agentic systems using LangGraph, CrewAI, and Microsoft AutoGen, coordinating multiple models and tools to complete multi-step business processes for enterprise clients. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery, without the larger enterprise support apparatus of bigger SIs.
N-iX
N-iX is a software engineering services company founded in 2002, with headquarters reported as Lviv, Ukraine (also listing a Valletta, Malta corporate address), and more than 2,400 professionals across Europe, the Americas, and APAC. It delivers cloud, data analytics, embedded software, IoT, and AI/ML solutions at scale, with agentic AI positioned as an extension of its existing AI and machine learning practice rather than a standalone specialty. Its large, multi-service scale is an asset for enterprise programs but means agent work competes internally with many other active service lines for senior attention.
Services and capabilities: Azumo vs N-iX
| Capability | Azumo | N-iX |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs N-iX
| Framework / platform | Azumo | N-iX |
|---|---|---|
| LangChain | N/A | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Azumo vs N-iX
| Criterion | Azumo | N-iX |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | Not published |
| Engagement models | Dedicated team, Staff augmentation | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: Azumo vs N-iX
| Dimension | Azumo | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Financial Services, Manufacturing, Retail & E-commerce |
| Best use cases | Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process, Extending an internal engineering team with nearshore agentic AI capacity | Large enterprise programs combining cloud modernization, data platforms, and agentic AI, Multi-country delivery requiring a large available engineering bench |
| Typical project type | Dedicated team | Dedicated team |
Azumo vs N-iX: pros and cons
| Azumo | |
|---|---|
| + | Named, current expertise across three major multi-agent orchestration frameworks |
| + | Nearshore staffing (South/North America) keeps time zones aligned with US clients |
| + | ~110-person team stays small enough for direct engineering access without large-SI layers |
| + | Founded 2016 with a decade of nearshore delivery track record |
| - | Smaller team than the global systems integrators limits very large concurrent programs |
| - | Public enterprise-scale compliance certifications are less documented than at bigger competitors |
| - | Delivery model depends on continued nearshore talent availability across multiple countries |
| N-iX | |
|---|---|
| + | 2,400+ professionals gives substantial bench depth across Europe, the Americas, and APAC |
| + | Two decades of engineering services history (founded 2002) across multiple technology domains |
| + | Existing AI/ML practice gives agentic work a broader data-science foundation to draw on |
| + | Scale suits multi-country, multi-team enterprise programs that smaller boutiques can't staff |
| - | Agentic AI is one of many active service lines rather than the firm's core specialty |
| - | Headquarters location reported inconsistently across sources (Lviv vs. a Malta corporate address) |
| - | Large-organization scale can mean less senior-engineer access than boutique competitors |
Who should choose Azumo?
Azumo is the right choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare.
Who should choose N-iX?
N-iX is the right choice for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS.
Decision matrix: Azumo 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 | Azumo |
| Your budget is at the lower end | Compare: Azumo ($20K (per company website; independently unverifiable)) vs N-iX (Not published) |
| You need specialist depth in a specific vertical | Azumo |
| 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 N-iX
| Use case | Azumo fit | N-iX fit | Winner |
|---|---|---|---|
| Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process | Strong | Strong | Both equally |
| Extending an internal engineering team with nearshore agentic AI capacity | Strong | Limited | Azumo |
| Large enterprise programs combining cloud modernization, data platforms, and agentic AI | Limited | Strong | N-iX |
| Multi-country delivery requiring a large available engineering bench | Limited | Strong | N-iX |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs N-iX
Azumo (4.3/5) is the stronger overall choice for most AI Agent Development projects. Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. It is best for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
N-iX (3.9/5) is the better choice when large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. If your situation matches those criteria, N-iX is a competitive option.
Related comparisons
Azumo vs N-iX FAQ
Is Azumo better than N-iX?
Azumo (4.3/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. N-iX is better for large enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
How do Azumo and N-iX differ in pricing?
Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). N-iX uses dedicated team, staff augmentation pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or N-iX?
N-iX 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 Azumo and N-iX?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. N-iX's primary differentiator is: scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with ai/agent work layered on top.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($20K (per company website; independently unverifiable) vs Not published), and primary industries served (Technology & SaaS, Retail & E-commerce vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.