Miquido vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Miquido (3.6/5) edges ahead of Deviniti (3.4/5) overall. Miquido is the better choice for product-focused technical teams wanting an analyst-recognized AI engineering partner. 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.
Miquido vs Deviniti: head-to-head summary
| Criterion | Miquido | Deviniti |
|---|---|---|
| Founded | 2011 | 2004 |
| HQ | Krakow, Poland | Wrocław, Poland |
| Team size | 201-250 | 201-250 |
| Rating | 3.6 / 5 | 3.4 / 5 |
| Best for | Product-focused technical teams wanting an analyst-recognized AI engineering partner | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $20K | $15K |
| Primary tech stack | OpenAI, LangChain, AWS | AWS, Azure, Python |
| Industries served | SaaS, Fintech, Retail | SaaS, Manufacturing, Fintech |
Miquido vs Deviniti: overview
Miquido
Miquido was founded in 2010-2011 by Krzysztof Kogutkiewicz, Krzysztof Biga, and Radosław Holewa, and is headquartered in Krakow, Poland, with roughly 225 employees across Europe, North America, and Asia. Clutch recognized Miquido as a Global Leader in Artificial Intelligence in 2023, and the firm offers AI solutions alongside its core web and mobile product engineering 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: Miquido vs Deviniti
| Capability | Miquido | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| Agent orchestration | ✗ | ✗ |
| Coding agents | ✓ | ✗ |
| Monitoring agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Miquido vs Deviniti
| Framework / platform | Miquido | 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: Miquido vs Deviniti
| Criterion | Miquido | Deviniti |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Fixed project, Dedicated team, T&M | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Miquido vs Deviniti
| Dimension | Miquido | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Retail | SaaS, Manufacturing, Fintech |
| Best use cases | AI-augmented product engineering, Coding agent integration | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Fixed project | Fixed project |
Miquido vs Deviniti: pros and cons
| Miquido | |
|---|---|
| + | Independently recognized (Clutch Global AI Leader 2023), not just self-reported marketing |
| + | 15+ years of product engineering history ahead of its AI specialization |
| + | Mid-size team (225) balances senior attention with reasonable delivery capacity |
| - | Product-engineering-first identity means agent work is one capability among several |
| - | Smaller team limits capacity for very large enterprise programs |
| 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 Miquido?
Miquido is the right choice for product-focused technical teams wanting an analyst-recognized AI engineering partner.
Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed. Minimum engagement starts at $20K. Works best with clients in SaaS, Fintech, 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: Miquido vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Miquido |
| You need a large dedicated team for an ongoing programme | Miquido |
| Your budget is at the lower end | Deviniti |
| You need specialist depth in a specific vertical | Miquido |
| 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: Miquido vs Deviniti
| Use case | Miquido fit | Deviniti fit | Winner |
|---|---|---|---|
| AI-augmented product engineering | Strong | Limited | Miquido |
| Coding agent integration | Strong | Limited | Miquido |
| 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: Miquido vs Deviniti
Miquido (3.6/5) is the stronger overall choice for most AI Agent projects. Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed. It is best for product-focused technical teams wanting an analyst-recognized AI engineering partner.
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
Miquido vs Deviniti FAQ
Is Miquido better than Deviniti?
Miquido (3.6/5) scores higher overall, but "better" depends on your use case. Miquido is better for product-focused technical teams wanting an analyst-recognized AI engineering partner. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Miquido and Deviniti differ in pricing?
Miquido uses fixed project, dedicated team 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: Miquido or Deviniti?
Miquido 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 Miquido and Deviniti?
Miquido's primary differentiator is: independently recognized by clutch as a global leader in artificial intelligence, not just self-marketed. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (201-250 vs 201-250), minimum engagement ($20K vs $15K), and primary industries served (SaaS, Fintech vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.