Azumo vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (3.9/5) edges ahead of Deviniti (3.8/5) overall. Azumo is the better choice for uS buyers wanting a nearshore staff-augmentation contract with named, verifiable multi-agent framework experience.. Deviniti is the stronger option for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record.. 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 | 3.9 / 5 | 3.8 / 5 |
| Best for | US buyers wanting a nearshore staff-augmentation contract with named, verifiable multi-agent framework experience. | Buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record. |
| 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. Its staff augmentation and dedicated-team contract models are structured around nearshore time-zone alignment specifically for US buyers, and it names its production experience across three separate multi-agent orchestration frameworks — a level of technical specificity procurement teams can verify against a proof-of-concept requirement. Its smaller headcount means it is better suited to a single dedicated-team contract than a multi-workstream enterprise program spanning several concurrent teams.
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. Its established Atlassian Marketplace app and consulting business gives procurement teams a checkable, independently reviewable track record (via Atlassian's own partner and marketplace listings) beyond the vendor's self-reported claims — a useful reference point that most competitors on this list lack. Agentic AI is a newer addition to that enterprise systems-integration practice, so buyers should weight recent agent-specific references over the firm's overall two-decade 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 | Staff-augmentation contracts requiring nearshore time-zone alignment with a US procurement team, Multi-agent system builds where the buyer wants to verify specific named framework experience | Buyers wanting a vendor whose track record can be independently checked via a third-party marketplace, Workflow-integration agents for teams already running Atlassian tooling under an existing contract |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Deviniti: pros and cons
| Azumo | |
|---|---|
| + | Named, current production experience across three separate multi-agent orchestration frameworks |
| + | Nearshore staffing (South/North America) keeps time zones aligned with US procurement teams |
| + | ~110-person team stays small enough for direct engineering access without large-SI account layers |
| + | Founded 2016 with a decade of nearshore staff-augmentation 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 larger competitors |
| - | Delivery model depends on continued nearshore talent availability across multiple countries |
| Deviniti | |
|---|---|
| + | Atlassian Marketplace and partner listings give procurement an independently checkable track record |
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability through a long contract lifecycle |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record |
| - | Less name recognition in AI-specific procurement 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 buyers wanting a nearshore staff-augmentation contract with named, verifiable multi-agent framework experience..
Nearshore time-zone alignment paired with named production experience across LangGraph, CrewAI, and Microsoft AutoGen.. 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 buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record..
An Atlassian Marketplace and partner track record independently checkable outside the vendor's own claims, 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 |
|---|---|---|---|
| Staff-augmentation contracts requiring nearshore time-zone alignment with a US procurement team | Strong | Limited | Azumo |
| Multi-agent system builds where the buyer wants to verify specific named framework experience | Strong | Limited | Azumo |
| Buyers wanting a vendor whose track record can be independently checked via a third-party marketplace | Limited | Strong | Deviniti |
| Workflow-integration agents for teams already running Atlassian tooling under an existing contract | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Azumo |
Verdict: Azumo vs Deviniti
Azumo (3.9/5) is the stronger overall choice for most AI Agent Development projects. Nearshore time-zone alignment paired with named production experience across LangGraph, CrewAI, and Microsoft AutoGen.. It is best for uS buyers wanting a nearshore staff-augmentation contract with named, verifiable multi-agent framework experience..
Deviniti (3.8/5) is the better choice when buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record.. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
Azumo vs Deviniti FAQ
Is Azumo better than Deviniti?
Azumo (3.9/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS buyers wanting a nearshore staff-augmentation contract with named, verifiable multi-agent framework experience.. Deviniti is better for buyers on the Atlassian ecosystem wanting a vendor with an independently checkable marketplace/partner track record..
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 provider before shortlisting.
What are the main differences between Azumo and Deviniti?
Azumo's primary differentiator is: nearshore time-zone alignment paired with named production experience across langgraph, crewai, and microsoft autogen.. Deviniti's primary differentiator is: an atlassian marketplace and partner track record independently checkable outside the vendor's own claims, 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 provider before making a decision.