Best AI Agent Development Agencies

Cogniteq vs Code Brew Labs: full comparison for 2026

Last updated: August 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 wanting a boutique Baltic agency for a well-scoped agentic AI project.. Code Brew Labs is the stronger option for buyers wanting an agency with a disclosed, countable track record of prior AI agent deployments across multiple sectors.. 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
Best for Cost-conscious buyers wanting a boutique Baltic agency for a well-scoped agentic AI project. Buyers wanting an agency with a disclosed, countable track record of prior AI agent deployments across multiple sectors.
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?

Cogniteq is the right choice for cost-conscious buyers wanting a boutique Baltic agency for a well-scoped agentic AI project..

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?

Code Brew Labs is the right choice for buyers wanting an agency with a disclosed, countable track record of prior AI agent deployments across multiple sectors..

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.. It is best for cost-conscious buyers wanting a boutique Baltic agency for a well-scoped agentic AI project..

Code Brew Labs (3.6/5) is the better choice when buyers wanting an agency with a disclosed, countable track record of prior AI agent deployments across multiple sectors.. If your situation matches those criteria, 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 is better for cost-conscious buyers wanting a boutique Baltic agency for a well-scoped agentic AI project.. Code Brew Labs is better for buyers wanting an agency with a disclosed, countable track record of prior AI agent deployments across multiple 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).

Last reviewed: August 2026. Verify all details directly with each agency before making a decision.