Azumo vs N-iX: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.0/5) edges ahead of N-iX (3.8/5) 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 | 4.0 / 5 | 3.8 / 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 autonomously — a level of framework specificity procurement and technical teams can verify directly. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery.
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 agentic 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 autonomous multi-agent systems that coordinate across CrewAI or AutoGen agents, 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-firm layers |
| + | Founded 2016 with a decade of nearshore delivery track record |
| - | Smaller team than the larger engineering firms 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 autonomous 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 agentic AI 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 autonomous multi-agent systems that coordinate across CrewAI or AutoGen agents | 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 (4.0/5) is the stronger overall choice for most Agentic AI Development projects. Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for autonomous 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 (3.8/5) 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 (4.0/5) 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 provider 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 autonomous 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 agentic ai 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 provider before making a decision.