Andersen vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Andersen (3.9/5) edges ahead of Deviniti (3.4/5) overall. Andersen is the better choice for enterprises wanting a single vendor with true multi-vertical scale for agent rollouts across several business units. 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.
Andersen vs Deviniti: head-to-head summary
| Criterion | Andersen | Deviniti |
|---|---|---|
| Founded | 2007 | 2004 |
| HQ | Warsaw, Poland | Wrocław, Poland |
| Team size | 1000+ | 201-250 |
| Rating | 3.9 / 5 | 3.4 / 5 |
| Best for | Enterprises wanting a single vendor with true multi-vertical scale for agent rollouts across several business units | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | $30K | $15K |
| Primary tech stack | AWS, Azure, Python | AWS, Azure, Python |
| Industries served | Fintech, Healthcare, Logistics, Automotive | SaaS, Manufacturing, Fintech |
Andersen vs Deviniti: overview
Andersen
Andersen (Andersen Lab) was founded in 2007 and is headquartered in Warsaw, Poland, with roughly 3,500-3,775 IT experts across 20 office locations and 16 development centers globally. The company has deep specialization in financial services, healthcare, logistics, media, automotive, telecom, retail, and the public sector, with AI and automation as part of its broader custom development practice.
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: Andersen vs Deviniti
| Capability | Andersen | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| Agent orchestration | ✗ | ✗ |
| Coding agents | ✗ | ✗ |
| Monitoring agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Andersen vs Deviniti
| Framework / platform | Andersen | Deviniti |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | 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 | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Andersen vs Deviniti
| Criterion | Andersen | Deviniti |
|---|---|---|
| Minimum engagement | $30K | $15K |
| Engagement models | Dedicated team, Staff augmentation, Fixed project | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Andersen vs Deviniti
| Dimension | Andersen | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Logistics | SaaS, Manufacturing, Fintech |
| Best use cases | Multi-vertical enterprise automation, Large-scale dedicated team staffing | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Dedicated team | Fixed project |
Andersen vs Deviniti: pros and cons
| Andersen | |
|---|---|
| + | 19 years of operating history with a very large, multi-vertical engineering bench |
| + | Named specialization across 7+ industries reduces onboarding time for cross-functional programs |
| + | 20 global office locations support distributed, follow-the-sun delivery |
| - | AI-agent work is one capability inside a much broader general software development practice |
| - | Large-generalist structure means less boutique-style senior-only attention than smaller specialists |
| 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 Andersen?
Andersen is the right choice for enterprises wanting a single vendor with true multi-vertical scale for agent rollouts across several business units.
3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop. Minimum engagement starts at $30K. Works best with clients in Fintech, Healthcare, Logistics, Automotive.
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: Andersen vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Andersen |
| You need a large dedicated team for an ongoing programme | Andersen |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | Andersen |
| 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: Andersen vs Deviniti
| Use case | Andersen fit | Deviniti fit | Winner |
|---|---|---|---|
| Multi-vertical enterprise automation | Strong | Limited | Andersen |
| Large-scale dedicated team staffing | Strong | Limited | Andersen |
| Atlassian-integrated workflow agents | Limited | Strong | Deviniti |
| Custom AI application development | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Andersen |
Verdict: Andersen vs Deviniti
Andersen (3.9/5) is the stronger overall choice for most AI Agent projects. 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop. It is best for enterprises wanting a single vendor with true multi-vertical scale for agent rollouts across several business units.
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
Andersen vs Deviniti FAQ
Is Andersen better than Deviniti?
Andersen (3.9/5) scores higher overall, but "better" depends on your use case. Andersen is better for enterprises wanting a single vendor with true multi-vertical scale for agent rollouts across several business units. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Andersen and Deviniti differ in pricing?
Andersen uses dedicated team, staff augmentation pricing with a minimum engagement of $30K. 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: Andersen 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 Andersen and Deviniti?
Andersen's primary differentiator is: 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (1000+ vs 201-250), minimum engagement ($30K vs $15K), and primary industries served (Fintech, Healthcare vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.