Cogniteq vs Deviniti: full comparison for 2026
Last updated: August 2026
Quick verdict
Cogniteq (3.5/5) edges ahead of Deviniti (3.4/5) overall. Cogniteq is the better choice for eU-based buyers wanting a Baltic-region engineering partner with two decades of history. 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.
Cogniteq vs Deviniti: head-to-head summary
| Criterion | Cogniteq | Deviniti |
|---|---|---|
| Founded | 2005 | 2004 |
| HQ | Vilnius, Lithuania | Wrocław, Poland |
| Team size | 51-120 | 201-250 |
| Rating | 3.5 / 5 | 3.4 / 5 |
| Best for | EU-based buyers wanting a Baltic-region engineering partner with two decades of history | Teams already on Atlassian tooling wanting AI agents integrated into that ecosystem |
| Pricing model | Dedicated team, fixed project | Fixed project, dedicated team |
| Min. engagement | $15K | $15K |
| Primary tech stack | AWS, Azure, Python | AWS, Azure, Python |
| Industries served | Fintech, Manufacturing, Logistics | SaaS, Manufacturing, Fintech |
Cogniteq vs Deviniti: overview
Cogniteq
Cogniteq was founded in 2005 and is headquartered in Vilnius, Lithuania, with additional offices in Poland and the US, and roughly 85-120 employees. The company is a full-cycle software development firm offering AI and automation services alongside its broader technology consulting 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: Cogniteq vs Deviniti
| Capability | Cogniteq | Deviniti |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| Agent orchestration | ✗ | ✗ |
| Coding agents | ✗ | ✗ |
| Monitoring agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Cogniteq vs Deviniti
| Framework / platform | Cogniteq | 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 | N/A |
Pricing comparison: Cogniteq vs Deviniti
| Criterion | Cogniteq | Deviniti |
|---|---|---|
| Minimum engagement | $15K | $15K |
| Engagement models | Dedicated team, Fixed project, T&M | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Cogniteq vs Deviniti
| Dimension | Cogniteq | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Manufacturing, Logistics | SaaS, Manufacturing, Fintech |
| Best use cases | EU-based dedicated AI teams, Workflow automation agents | Atlassian-integrated workflow agents, Custom AI application development |
| Typical project type | Dedicated team | Fixed project |
Cogniteq vs Deviniti: pros and cons
| Cogniteq | |
|---|---|
| + | 20 years of operating history with a stable Baltic-region base |
| + | EU headquarters (Lithuania) simplifies data-residency conversations for EU clients |
| + | Full-cycle development capability supports agents embedded in larger builds |
| - | Smaller team (85-120) limits very large program capacity |
| - | General software development identity means fewer AI-agent-specific public case studies than specialist firms |
| 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 Cogniteq?
Cogniteq is the right choice for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs. Minimum engagement starts at $15K. Works best with clients in Fintech, Manufacturing, Logistics.
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: Cogniteq vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Cogniteq |
| You need a large dedicated team for an ongoing programme | Cogniteq |
| Your budget is at the lower end | Cogniteq |
| You need specialist depth in a specific vertical | Cogniteq |
| 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: Cogniteq vs Deviniti
| Use case | Cogniteq fit | Deviniti fit | Winner |
|---|---|---|---|
| EU-based dedicated AI teams | Strong | Limited | Cogniteq |
| Workflow automation agents | Strong | Strong | Both equally |
| 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: Cogniteq vs Deviniti
Cogniteq (3.5/5) is the stronger overall choice for most AI Agent projects. 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs. It is best for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
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.
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Cogniteq vs Deviniti FAQ
Is Cogniteq better than Deviniti?
Cogniteq (3.5/5) scores higher overall, but "better" depends on your use case. Cogniteq is better for eU-based buyers wanting a Baltic-region engineering partner with two decades of history. Deviniti is better for teams already on Atlassian tooling wanting AI agents integrated into that ecosystem.
How do Cogniteq and Deviniti differ in pricing?
Cogniteq uses dedicated team, fixed project pricing with a minimum engagement of $15K. 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: Cogniteq 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 Cogniteq and Deviniti?
Cogniteq's primary differentiator is: 20 years of full-cycle software delivery based in the eu (lithuania), useful for eu data-residency needs. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience. They also differ in team size (51-120 vs 201-250), minimum engagement ($15K vs $15K), and primary industries served (Fintech, Manufacturing vs SaaS, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.