Intuz vs Cogniteq: full comparison for 2026
Last updated: August 2026
Quick verdict
Intuz (3.6/5) edges ahead of Cogniteq (3.5/5) overall. Intuz is the better choice for buyers wanting a documented count of live production agent deployments, not just pilot case studies. Cogniteq is the stronger option for eU-based buyers wanting a Baltic-region engineering partner with two decades of history. The right choice depends on your project size, budget, and required tech stack.
Intuz vs Cogniteq: head-to-head summary
| Criterion | Intuz | Cogniteq |
|---|---|---|
| Founded | 2008 | 2005 |
| HQ | San Francisco, USA | Vilnius, Lithuania |
| Team size | 51-200 | 51-120 |
| Rating | 3.6 / 5 | 3.5 / 5 |
| Best for | Buyers wanting a documented count of live production agent deployments, not just pilot case studies | EU-based buyers wanting a Baltic-region engineering partner with two decades of history |
| Pricing model | Dedicated team, fixed project | Dedicated team, fixed project |
| Min. engagement | $20K | $15K |
| Primary tech stack | LangGraph, CrewAI, AutoGen | AWS, Azure, Python |
| Industries served | Healthcare, E-commerce, Logistics | Fintech, Manufacturing, Logistics |
Intuz vs Cogniteq: overview
Intuz
Intuz was founded in 2008 and is a US-headquartered company with offices in San Francisco and San Ramon, California, plus an engineering center in Ahmedabad, India, and 51-200 employees. The firm designs, builds, and operates production AI agents on LangGraph, CrewAI, and AutoGen, reporting 100+ enterprise deployments across healthcare, e-commerce, and logistics.
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.
Services and capabilities: Intuz vs Cogniteq
| Capability | Intuz | Cogniteq |
|---|---|---|
| Multi-agent systems | ✗ | ✗ |
| Agent orchestration | ✓ | ✗ |
| Coding agents | ✗ | ✗ |
| Monitoring agents | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
Tech stack comparison: Intuz vs Cogniteq
| Framework / platform | Intuz | Cogniteq |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | 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 | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Intuz vs Cogniteq
| Criterion | Intuz | Cogniteq |
|---|---|---|
| Minimum engagement | $20K | $15K |
| Engagement models | Dedicated team, Fixed project, T&M | Dedicated team, Fixed project, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Intuz vs Cogniteq
| Dimension | Intuz | Cogniteq |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, E-commerce, Logistics | Fintech, Manufacturing, Logistics |
| Best use cases | Production multi-agent orchestration, Healthcare/logistics agent deployment | EU-based dedicated AI teams, Workflow automation agents |
| Typical project type | Dedicated team | Dedicated team |
Intuz vs Cogniteq: pros and cons
| Intuz | |
|---|---|
| + | Reports a specific, high production-deployment count (100+) rather than vague claims |
| + | US HQ with an India engineering center balances access and delivery cost |
| + | Multi-framework fluency (LangGraph, CrewAI, AutoGen) avoids lock-in to one stack |
| - | Deployment-count figures are self-reported (per company website; independently unverifiable) |
| - | Mid-size team (51-200) may face capacity limits on very large multi-region programs |
| 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 |
Who should choose Intuz?
Intuz is the right choice for buyers wanting a documented count of live production agent deployments, not just pilot case studies.
Reports 100+ enterprise agent deployments already in production across three named framework stacks. Minimum engagement starts at $20K. Works best with clients in Healthcare, E-commerce, Logistics.
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.
Decision matrix: Intuz vs Cogniteq
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Intuz |
| You need a large dedicated team for an ongoing programme | Intuz |
| Your budget is at the lower end | Cogniteq |
| You need specialist depth in a specific vertical | Intuz |
| 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: Intuz vs Cogniteq
| Use case | Intuz fit | Cogniteq fit | Winner |
|---|---|---|---|
| Production multi-agent orchestration | Strong | Limited | Intuz |
| Healthcare/logistics agent deployment | Strong | Limited | Intuz |
| EU-based dedicated AI teams | Limited | Strong | Cogniteq |
| Workflow automation agents | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Intuz vs Cogniteq
Intuz (3.6/5) is the stronger overall choice for most AI Agent projects. Reports 100+ enterprise agent deployments already in production across three named framework stacks. It is best for buyers wanting a documented count of live production agent deployments, not just pilot case studies.
Cogniteq (3.5/5) is the better choice when eU-based buyers wanting a Baltic-region engineering partner with two decades of history. If your situation matches those criteria, Cogniteq is a competitive option.
Related comparisons
Intuz vs Cogniteq FAQ
Is Intuz better than Cogniteq?
Intuz (3.6/5) scores higher overall, but "better" depends on your use case. Intuz is better for buyers wanting a documented count of live production agent deployments, not just pilot case studies. Cogniteq is better for eU-based buyers wanting a Baltic-region engineering partner with two decades of history.
How do Intuz and Cogniteq differ in pricing?
Intuz uses dedicated team, fixed project pricing with a minimum engagement of $20K. Cogniteq uses dedicated team, fixed project 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: Intuz or Cogniteq?
Intuz 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 Intuz and Cogniteq?
Intuz's primary differentiator is: reports 100+ enterprise agent deployments already in production across three named framework stacks. Cogniteq's primary differentiator is: 20 years of full-cycle software delivery based in the eu (lithuania), useful for eu data-residency needs. They also differ in team size (51-200 vs 51-120), minimum engagement ($20K vs $15K), and primary industries served (Healthcare, E-commerce vs Fintech, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each developer before making a decision.