Azumo vs Matellio: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of Matellio (4.1/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Matellio is the stronger option for enterprises that want agentic AI folded into a broader cloud-native application modernization project.. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Matellio: head-to-head summary
| Criterion | Azumo | Matellio |
|---|---|---|
| Founded | 2016 | 2014 |
| HQ | San Francisco, CA, USA | San Jose, CA, USA |
| Team size | 51–200 | 51–250 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Enterprises that want agentic AI folded into a broader cloud-native application modernization project. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | $20K (per company website; independently unverifiable) | $25K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangGraph, CrewAI | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Technology & SaaS, Healthcare, Retail & E-commerce, Manufacturing |
Azumo vs Matellio: 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.
Matellio
Matellio is a custom software development company founded in 2014 and headquartered in San Jose, California, with additional offices in Denver and the UK and engineering labs in India, totaling roughly 150–250 people. It builds AI platforms and cloud-native enterprise applications across a client base ranging from startups to Fortune 500 companies, with agentic AI as one part of a broader AI and cloud engineering practice. Its generalist enterprise-software background means agent-specific depth should be confirmed against a narrower specialist if that is the primary requirement.
Services and capabilities: Azumo vs Matellio
| Capability | Azumo | Matellio |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Matellio
| Framework / platform | Azumo | Matellio |
|---|---|---|
| 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 | N/A |
Pricing comparison: Azumo vs Matellio
| Criterion | Azumo | Matellio |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $25K (per company website; independently unverifiable) |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Matellio
| Dimension | Azumo | Matellio |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Technology & SaaS, Healthcare, 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 | Adding an AI agent layer to an existing enterprise application modernization project, Building workflow-automation agents integrated with a newly built cloud-native platform |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Matellio: 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 |
| Matellio | |
|---|---|
| + | Multi-region footprint (San Jose, Denver, UK, India) suits clients wanting both US-based and offshore delivery |
| + | Serves everything from startups to Fortune 500 clients, giving broad reference range |
| + | Cloud-native application engineering background helps agents integrate cleanly into modern architectures |
| + | Ten-plus years of operating history at a mid-size, still-agile headcount |
| - | Agentic AI is one offering within a broad custom-software portfolio rather than the sole specialty |
| - | Reported headcount varies notably by source (roughly 147 to 250+), worth confirming directly |
| - | Public case studies emphasize app modernization more than agent-specific outcomes |
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 Matellio?
Matellio is the right choice for enterprises that want agentic AI folded into a broader cloud-native application modernization project..
Combines AI/agent development with broader enterprise cloud application engineering under one roof.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Healthcare, Retail & E-commerce, Manufacturing.
Decision matrix: Azumo vs Matellio
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Matellio |
| 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 | 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 Matellio
| Use case | Azumo fit | Matellio 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 | Strong | Both equally |
| Adding an AI agent layer to an existing enterprise application modernization project | Limited | Strong | Matellio |
| Building workflow-automation agents integrated with a newly built cloud-native platform | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs Matellio
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..
Matellio (4.1/5) is the better choice when enterprises that want agentic AI folded into a broader cloud-native application modernization project.. If your situation matches those criteria, Matellio is a competitive option.
Related comparisons
Azumo vs Matellio FAQ
Is Azumo better than Matellio?
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.. Matellio is better for enterprises that want agentic AI folded into a broader cloud-native application modernization project..
How do Azumo and Matellio differ in pricing?
Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). Matellio uses fixed project, dedicated team pricing with a minimum engagement of $25K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Azumo or Matellio?
Matellio 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 Matellio?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. Matellio's primary differentiator is: combines ai/agent development with broader enterprise cloud application engineering under one roof.. They also differ in team size (51–200 vs 51–250), minimum engagement ($20K (per company website; independently unverifiable) vs $25K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Technology & SaaS, Healthcare).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.