Azumo vs Cogniteq: full comparison for 2026
Last updated: August 2026
Quick verdict
Azumo (4.3/5) edges ahead of Cogniteq (3.7/5) overall. Azumo is the better choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. 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.
Azumo vs Cogniteq: head-to-head summary
| Criterion | Azumo | Cogniteq |
|---|---|---|
| Founded | 2016 | 2005 |
| HQ | San Francisco, CA, USA | Vilnius, Lithuania |
| Team size | 51–200 | 51–200 |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. | Cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project. |
| Pricing model | Dedicated team, staff augmentation | Fixed project, dedicated team |
| Min. engagement | $20K (per company website; independently unverifiable) | $15K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangGraph, CrewAI | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare | Retail & E-commerce, Financial Services, Manufacturing, Healthcare |
Azumo vs Cogniteq: overview
Azumo
Azumo is a nearshore software development firm founded in 2016 and headquartered in San Francisco, with roughly 110 employees spread across South America, North America, and Asia. It explicitly builds production-grade agentic systems using LangGraph, CrewAI, and Microsoft AutoGen, coordinating multiple models and tools to complete multi-step business processes for enterprise clients. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery, without the larger enterprise support apparatus of bigger SIs.
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: Azumo vs Cogniteq
| Capability | Azumo | Cogniteq |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Azumo vs Cogniteq
| Framework / platform | Azumo | Cogniteq |
|---|---|---|
| LangChain | 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: Azumo vs Cogniteq
| Criterion | Azumo | Cogniteq |
|---|---|---|
| Minimum engagement | $20K (per company website; independently unverifiable) | $15K (per company website; independently unverifiable) |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Azumo vs Cogniteq
| Dimension | Azumo | Cogniteq |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Retail & E-commerce, Financial Services | Retail & E-commerce, Financial Services, Manufacturing |
| Best use cases | Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process, Extending an internal engineering team with nearshore agentic AI capacity | Well-scoped, budget-conscious agentic AI projects for mid-market clients, Extending an existing custom software contract with agent capability |
| Typical project type | Dedicated team | Fixed project |
Azumo vs Cogniteq: pros and cons
| Azumo | |
|---|---|
| + | Named, current expertise across three major multi-agent orchestration frameworks |
| + | Nearshore staffing (South/North America) keeps time zones aligned with US clients |
| + | ~110-person team stays small enough for direct engineering access without large-SI layers |
| + | Founded 2016 with a decade of nearshore delivery track record |
| - | Smaller team than the global systems integrators limits very large concurrent programs |
| - | Public enterprise-scale compliance certifications are less documented than at bigger competitors |
| - | Delivery model depends on continued nearshore talent availability across multiple countries |
| 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 Azumo?
Azumo is the right choice for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare.
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: Azumo vs Cogniteq
| 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 | Azumo |
| Your budget is at the lower end | Cogniteq |
| You need specialist depth in a specific vertical | Azumo |
| 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: Azumo vs Cogniteq
| Use case | Azumo fit | Cogniteq fit | Winner |
|---|---|---|---|
| Building multi-agent systems that coordinate across CrewAI or AutoGen agents for a business process | Strong | Limited | Azumo |
| Extending an internal engineering team with nearshore agentic AI capacity | Strong | Strong | Both equally |
| 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: Azumo vs Cogniteq
Azumo (4.3/5) is the stronger overall choice for most AI Agent Development projects. Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration.. It is best for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
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
Azumo vs Cogniteq FAQ
Is Azumo better than Cogniteq?
Azumo (4.3/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. Cogniteq is better for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project..
How do Azumo and Cogniteq differ in pricing?
Azumo uses dedicated team, staff augmentation 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: Azumo or Cogniteq?
Azumo 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 Azumo and Cogniteq?
Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for multi-agent orchestration.. 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 (51–200 vs 51–200), minimum engagement ($20K (per company website; independently unverifiable) vs $15K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Retail & E-commerce vs Retail & E-commerce, Financial Services).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.