Azumo vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (3.5/5) edges ahead of Deviniti (3.4/5) overall. Azumo is the better choice for buyers wanting nearshore delivery cost savings without giving up US-based account management. Deviniti is the stronger option for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. 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, USA | Wrocław, Poland |
| Team size | 51-100 | 201-250 |
| Rating | 3.5 / 5 | 3.4 / 5 |
| Best for | Buyers wanting nearshore delivery cost savings without giving up US-based account management | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Dedicated team, T&M | Fixed project, dedicated team |
| Min. engagement | $20K | $15K |
| Primary tech stack | OpenAI, LangChain, AWS | AWS, Azure, Python |
| Industries served | Media, Healthcare, Retail | SaaS, Manufacturing, Fintech |
Azumo vs Deviniti: overview
Azumo
Azumo was founded in 2016 and is headquartered in San Francisco, California, with roughly 51-200 employees (79 reported directly). The company helps organizations design, build, and scale intelligent AI applications through nearshore and onshore engineering teams, with referral clients including Meta, Omnicom, and UnitedHealth.
Deviniti
Deviniti was founded on December 13, 2004 in Wrocław, Poland by Piotr Jan Dorosz and Jacek Michał Machata, and now has 250+ employees. The company combines Atlassian-focused consulting and marketplace apps with custom software development, cloud/DevOps, and AI application services.
Services and capabilities: Azumo vs Deviniti
| Capability | Azumo | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| Agent orchestration | ✗ | ✗ |
| Coding agents | ✗ | ✗ |
| Monitoring agents | ✗ | ✗ |
| Workflow integration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Deviniti
| Framework / platform | Azumo | Deviniti |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | 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 | $15K |
| Engagement models | Dedicated team, T&M, Fixed project | Fixed project, Dedicated team, Staff augmentation |
| 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 | Media, Healthcare, Retail | SaaS, Manufacturing, Fintech |
| Best use cases | Nearshore AI application engineering, LLM-powered feature development | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Deviniti: pros and cons
| Azumo | |
|---|---|
| + | Referral-driven growth with named enterprise clients (Meta, UnitedHealth) signals strong repeat trust |
| + | Nearshore/onshore blend balances cost and real-time collaboration |
| + | US HQ simplifies contracting for North American buyers |
| - | Smaller team (~79-100) limits capacity for very large concurrent programs |
| - | Newer AI-application focus (relative to 2016 founding) has a shorter dedicated agent track record |
| Deviniti | |
|---|---|
| + | 20+ years of operating history with a clear founding date and leadership |
| + | Deep Atlassian ecosystem expertise supports agent integration into existing workflow tools |
| + | Combines marketplace product development with custom consulting delivery |
| - | Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain |
| - | AI application work is a newer addition relative to its two-decade core consulting history |
Who should choose Azumo?
Azumo is the right choice for buyers wanting nearshore delivery cost savings without giving up US-based account management.
Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth). Minimum engagement starts at $20K. Works best with clients in Media, Healthcare, Retail.
Who should choose Deviniti?
Deviniti is the right choice for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. Minimum engagement starts at $15K. Works best with clients in SaaS, Manufacturing, Fintech.
Decision matrix: Azumo vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Azumo |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Deviniti |
| 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 |
|---|---|---|---|
| Nearshore AI application engineering | Strong | Limited | Azumo |
| LLM-powered feature development | Strong | Limited | Azumo |
| Atlassian-integrated workflow agents | Limited | Strong | Deviniti |
| Custom AI application development | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Azumo vs Deviniti
Azumo (3.5/5) is the stronger overall choice for most AI Agent projects. Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth). It is best for buyers wanting nearshore delivery cost savings without giving up US-based account management.
Deviniti (3.4/5) is the better choice when teams already on Atlassian tooling wanting AI agents integrated into that ecosystem. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
Azumo vs Deviniti FAQ
Is Azumo better than Deviniti?
Azumo (3.5/5) scores higher overall, but "better" depends on your use case. Azumo is better for buyers wanting nearshore delivery cost savings without giving up US-based account management. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Azumo and Deviniti differ in pricing?
Azumo uses dedicated team, t&m pricing with a minimum engagement of $20K. Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $15K. 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 developer before shortlisting.
What are the main differences between Azumo and Deviniti?
Azumo's primary differentiator is: primarily referral-driven client base including named enterprise brands (meta, unitedhealth). Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (51-100 vs 201-250), minimum engagement ($20K vs $15K), and primary industries served (Media, Healthcare vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.