Azumo vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of Deviniti (4.0/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Deviniti is the stronger option for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Deviniti: head-to-head summary
| Criterion | Azumo | Deviniti |
|---|---|---|
| Founded | 2016 | 2004 |
| HQ | San Francisco, CA, USA | Wrocław, Poland |
| Team size | 51–200 | 201–500 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | $20K (per company website; independently unverifiable) | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangGraph, CrewAI | Python, Java, LangChain |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce |
Azumo vs Deviniti: 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.
Deviniti
Deviniti is a Wrocław, Poland-based software company founded in 2004 by Piotr Dorosz and Jacek Machata, with roughly 260 employees across Europe and North America. It grew out of enterprise IT solutions for the financial sector and built a significant Atlassian-ecosystem practice (apps and consulting) before extending into broader enterprise software and, more recently, agentic AI. Its AI-agent practice is newer than its Atlassian and enterprise-software work, so buyers should weight recent agent-specific references more heavily than the firm's overall tenure.
Services and capabilities: Azumo vs Deviniti
| Capability | Azumo | Deviniti |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Deviniti
| Framework / platform | Azumo | Deviniti |
|---|---|---|
| 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 Deviniti
| Criterion | Azumo | Deviniti |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $20K (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 Deviniti
| Dimension | Azumo | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Financial Services, Manufacturing, Technology & SaaS |
| 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 | Building workflow-integration agents for teams already running Atlassian tooling, Automating internal enterprise processes for financial-sector clients |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Deviniti: 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 |
| Deviniti | |
|---|---|
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | Established Atlassian-ecosystem practice gives it a natural workflow-integration angle for agents |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record than its overall tenure suggests |
| - | Less name recognition in AI-specific buyer circles compared to AI-first competitors |
| - | Public agent-specific case studies are limited relative to its Atlassian portfolio |
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 Deviniti?
Deviniti is the right choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce.
Decision matrix: Azumo vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Deviniti |
| 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 Deviniti
| Use case | Azumo fit | Deviniti 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 |
| Building workflow-integration agents for teams already running Atlassian tooling | Strong | Strong | Both equally |
| Automating internal enterprise processes for financial-sector clients | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs Deviniti
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..
Deviniti (4.0/5) is the better choice when enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
Azumo vs Deviniti FAQ
Is Azumo better than Deviniti?
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.. Deviniti is better for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
How do Azumo and Deviniti differ in pricing?
Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (per company website; independently unverifiable). Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $20K (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 Deviniti?
Deviniti 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 Deviniti?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. Deviniti's primary differentiator is: two decades of enterprise systems-integration work, including deep atlassian-ecosystem expertise, applied to agent workflow integration.. They also differ in team size (51–200 vs 201–500), minimum engagement ($20K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), 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.