Cogniteq vs Code Brew Labs: full comparison for 2026
Quick verdict
Cogniteq (3.7/5) edges ahead of Code Brew Labs (3.6/5) overall. Cogniteq is the better choice for cost-conscious buyers, boutique Baltic agency. Code Brew Labs is the stronger option for Disclosed, countable prior AI-agent deployment track record. The right choice depends on your project size, budget, and required tech stack.
Cogniteq vs Code Brew Labs: head-to-head summary
| Criterion | Cogniteq | Code Brew Labs |
|---|---|---|
| Founded | 2005 | 2013 |
| HQ | Vilnius, Lithuania | Chandigarh, India |
| Team size | 51–200 | 201–500 |
| Rating | 3.7 / 5 | 3.6 / 5 |
| Primary differentiator | Two decades of Baltic-region delivery history at a lower cost base than Western European agencies | A disclosed deployment count (20+ AI agents across enterprise, fitness, legal, insurance, HR) most boutique competitors on this list don't publish |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $15K (per company website; independently unverifiable) | Not published |
| Primary tech stack | Python, LangChain, AWS | Python, LangChain, AWS |
| Industries served | Retail & E-commerce, Financial Services, Manufacturing, Healthcare | Financial Services, Healthcare, Technology & SaaS |
Cogniteq vs Code Brew Labs: overview
Cogniteq
Cogniteq is a full-cycle software development agency 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.
Code Brew Labs
Code Brew Labs is a full-service software and AI agency founded in 2013 and headquartered in Chandigarh, India, with additional offices in Dubai, New York City, and Guadalajara, Mexico, and roughly 368 employees. It builds custom AI agents and chatbots, having deployed 20+ named AI agents across enterprise, fitness, legal, insurance, and human resources sectors, giving it a disclosed deployment count most boutiques on this list don't publish.
Services and capabilities: Cogniteq vs Code Brew Labs
| Capability | Cogniteq | Code Brew Labs |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✓ |
Tech stack comparison: Cogniteq vs Code Brew Labs
| Framework / platform | Cogniteq | Code Brew Labs |
|---|---|---|
| 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 | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Cogniteq vs Code Brew Labs
| Criterion | Cogniteq | Code Brew Labs |
|---|---|---|
| Minimum engagement | $15K (per company website; independently unverifiable) | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: Cogniteq vs Code Brew Labs
| Dimension | Cogniteq | Code Brew Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & E-commerce, Financial Services, Manufacturing | Financial Services, Healthcare, Technology & SaaS |
| Best use cases | Well-scoped, budget-conscious agentic AI projects for mid-market clients, Extending an existing custom software contract with agent capability | Buyers wanting to check a disclosed, countable prior-deployment track record before committing, Fitness, legal, insurance, or HR sector clients wanting sector-relevant agent experience |
| Typical project type | Fixed project | Fixed project |
Cogniteq vs Code Brew Labs: pros and cons
| Cogniteq | |
|---|---|
| + | Two decades of full-cycle software development history since 2005 |
| + | Baltic-region cost base typically undercuts Western European agencies |
| + | 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 |
| Code Brew Labs | |
|---|---|
| + | Disclosed count of 20+ AI agents deployed across multiple named sectors |
| + | Multi-country office footprint (India, UAE, US, Mexico) gives global account-management options |
| + | Over a decade of operating history since 2013 |
| + | Full-service model covers mobile, web, and AI agent development under one agency |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Broader full-service agency origins mean agentic-specific depth should be weighed against narrower specialists |
| - | Reported employee counts vary by source, worth confirming directly |
Who should choose Cogniteq?
A typical fit: Well-scoped, budget-conscious agentic AI projects for mid-market clients.
Two decades of Baltic-region delivery history at a lower cost base than Western European agencies. Minimum engagement starts at $15K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Financial Services, Manufacturing, Healthcare.
Who should choose Code Brew Labs?
A typical fit: buyers wanting to check a disclosed, countable prior-deployment track record before committing.
A disclosed deployment count (20+ AI agents across enterprise, fitness, legal, insurance, HR) most boutique competitors on this list don't publish. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Technology & SaaS.
Decision matrix: Cogniteq vs Code Brew Labs
| 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 | Compare: Cogniteq ($15K (per company website; independently unverifiable)) vs Code Brew Labs (Not published) |
| 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 Code Brew Labs
| Use case | Cogniteq fit | Code Brew Labs fit | Winner |
|---|---|---|---|
| Well-scoped, budget-conscious agentic AI projects for mid-market clients | Strong | Limited | Cogniteq |
| Extending an existing custom software contract with agent capability | Strong | Limited | Cogniteq |
| Buyers wanting to check a disclosed, countable prior-deployment track record before committing | Limited | Strong | Code Brew Labs |
| Fitness, legal, insurance, or HR sector clients wanting sector-relevant agent experience | Limited | Strong | Code Brew Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Cogniteq vs Code Brew Labs
Cogniteq (3.7/5) is the stronger overall choice for most AI Agent Development projects. Two decades of Baltic-region delivery history at a lower cost base than Western European agencies.
Code Brew Labs (3.6/5) is worth a look if you need Fitness, legal, insurance, or HR sector clients wanting sector-relevant agent experience. If your situation matches that, Code Brew Labs is a competitive option.
Related comparisons
Cogniteq vs Code Brew Labs FAQ
Is Cogniteq better than Code Brew Labs?
Cogniteq (3.7/5) scores higher overall, but "better" depends on your use case. Cogniteq's strongest advantage: two decades of full-cycle software development history since 2005. Code Brew Labs's strongest advantage: disclosed count of 20+ AI agents deployed across multiple named sectors.
How do Cogniteq and Code Brew Labs differ in pricing?
Cogniteq uses fixed project, dedicated team pricing with a minimum engagement of $15K (per company website; independently unverifiable). Code Brew Labs uses fixed project, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Cogniteq or Code Brew Labs?
Code Brew Labs is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Cogniteq and Code Brew Labs?
Cogniteq's primary differentiator is: two decades of Baltic-region delivery history at a lower cost base than Western European agencies. Code Brew Labs's primary differentiator is: a disclosed deployment count (20+ AI agents across enterprise, fitness, legal, insurance, HR) most boutique competitors on this list don't publish. They also differ in team size (51–200 vs 201–500), minimum engagement ($15K (per company website; independently unverifiable) vs Not published), and primary industries served (Retail & E-commerce, Financial Services vs Financial Services, Healthcare).