Deviniti vs Cogniteq: full comparison for 2026
Last updated: August 2026
Quick verdict
Deviniti (4.0/5) edges ahead of Cogniteq (3.7/5) overall. Deviniti is the better choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. Cogniteq is the stronger option for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project.. The right choice depends on your project size, budget, and required tech stack.
Deviniti vs Cogniteq: head-to-head summary
| Criterion | Deviniti | Cogniteq |
|---|---|---|
| Founded | 2004 | 2005 |
| HQ | Wrocław, Poland | Vilnius, Lithuania |
| Team size | 201–500 | 51–200 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner. | Cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $20K (per company website; independently unverifiable) | $15K (per company website; independently unverifiable) |
| Primary tech stack | Python, Java, LangChain | Python, LangChain, AWS |
| Industries served | Financial Services, Manufacturing, Technology & SaaS, Retail & E-commerce | Retail & E-commerce, Financial Services, Manufacturing, Healthcare |
Deviniti vs Cogniteq: overview
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. It grew out of enterprise IT solutions for the financial sector and built a significant Atlassian-ecosystem practice (apps and consulting) before extending into broader enterprise software and, more recently, agentic AI. Its AI-agent practice is newer than its Atlassian and enterprise-software work, so buyers should weight recent agent-specific references more heavily than the firm's overall tenure.
Cogniteq
Cogniteq is a full-cycle software development company founded in 2005 and headquartered in Vilnius, Lithuania, with roughly 75–200 employees and additional offices in Poland and the US. It delivers custom technology services and products across industries, with agentic AI as a newer addition to its existing software development practice. Its boutique size limits capacity for very large programs but keeps overhead — and likely cost — lower than mid-size and enterprise competitors.
Services and capabilities: Deviniti vs Cogniteq
| Capability | Deviniti | Cogniteq |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Deviniti vs Cogniteq
| Framework / platform | Deviniti | Cogniteq |
|---|---|---|
| LangChain | ✓ | ✓ |
| 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: Deviniti vs Cogniteq
| Criterion | Deviniti | Cogniteq |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $15K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Deviniti vs Cogniteq
| Dimension | Deviniti | Cogniteq |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Manufacturing, Technology & SaaS | Retail & E-commerce, Financial Services, Manufacturing |
| Best use cases | Building workflow-integration agents for teams already running Atlassian tooling, Automating internal enterprise processes for financial-sector clients | Well-scoped, budget-conscious agentic AI projects for mid-market clients, Extending an existing custom software contract with agent capability |
| Typical project type | Fixed project | Fixed project |
Deviniti vs Cogniteq: pros and cons
| Deviniti | |
|---|---|
| + | Two decades of enterprise systems-integration experience, originally rooted in financial-sector IT |
| + | Established Atlassian-ecosystem practice gives it a natural workflow-integration angle for agents |
| + | ~260-person team spread across Europe and North America for regional delivery coverage |
| + | Founder-led continuity since 2004 provides institutional stability |
| - | Agentic AI is a newer addition to a legacy enterprise-software and Atlassian practice, with a shorter track record than its overall tenure suggests |
| - | Less name recognition in AI-specific buyer circles compared to AI-first competitors |
| - | Public agent-specific case studies are limited relative to its Atlassian portfolio |
| Cogniteq | |
|---|---|
| + | Two decades of full-cycle software development history since 2005 |
| + | Baltic-region cost base typically undercuts Western European and US-headquartered competitors |
| + | Boutique headcount keeps senior engineers hands-on rather than delegated |
| + | Multi-country office footprint (Lithuania, Poland, US) supports both nearshore and onshore client contact |
| - | Agentic AI is a newer service line layered onto a generalist software development practice |
| - | 51–200 team size limits capacity for large or highly parallel enterprise programs |
| - | Reported headcount varies by source (roughly 77 to 200), worth confirming directly |
Who should choose Deviniti?
Deviniti is the right choice for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, 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.
Who should choose Cogniteq?
Cogniteq is the right choice for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project..
Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms.. Minimum engagement starts at $15K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Financial Services, Manufacturing, Healthcare.
Decision matrix: Deviniti vs Cogniteq
| 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 | Deviniti |
| Your budget is at the lower end | Cogniteq |
| You need specialist depth in a specific vertical | Deviniti |
| 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: Deviniti vs Cogniteq
| Use case | Deviniti fit | Cogniteq fit | Winner |
|---|---|---|---|
| Building workflow-integration agents for teams already running Atlassian tooling | Strong | Limited | Deviniti |
| Automating internal enterprise processes for financial-sector clients | Strong | Limited | Deviniti |
| Well-scoped, budget-conscious agentic AI projects for mid-market clients | Limited | Strong | Cogniteq |
| Extending an existing custom software contract with agent capability | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Deviniti vs Cogniteq
Deviniti (4.0/5) is the stronger overall choice for most AI Agent Development projects. Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration.. It is best for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner..
Cogniteq (3.7/5) is the better choice when cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project.. If your situation matches those criteria, Cogniteq is a competitive option.
Related comparisons
Deviniti vs Cogniteq FAQ
Is Deviniti better than Cogniteq?
Deviniti (4.0/5) scores higher overall, but "better" depends on your use case. Deviniti is better for enterprises already on the Atlassian ecosystem that want agentic workflow automation from a known integration partner.. Cogniteq is better for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project..
How do Deviniti and Cogniteq differ in pricing?
Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). Cogniteq uses fixed project, dedicated team pricing with a minimum engagement of $15K (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: Deviniti or Cogniteq?
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 company before shortlisting.
What are the main differences between Deviniti and Cogniteq?
Deviniti's primary differentiator is: two decades of enterprise systems-integration work, including deep atlassian-ecosystem expertise, applied to agent workflow integration.. Cogniteq's primary differentiator is: boutique full-cycle development shop with two decades of baltic-region delivery history at a lower cost base than western european or us firms.. They also differ in team size (201–500 vs 51–200), minimum engagement ($20K (per company website; independently unverifiable) vs $15K (per company website; independently unverifiable)), and primary industries served (Financial Services, Manufacturing vs Retail & E-commerce, Financial Services).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.