Vstorm vs Code Brew Labs: full comparison for 2026
Last updated: August 2026
Quick verdict
Vstorm (4.4/5) edges ahead of Code Brew Labs (3.6/5) overall. Vstorm is the better choice for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential.. 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.
Vstorm vs Code Brew Labs: head-to-head summary
| Criterion | Vstorm | Code Brew Labs |
|---|---|---|
| Founded | 2017 | 2013 |
| HQ | Wrocław, Poland | Chandigarh, India |
| Team size | 11–50 | 201–500 |
| Rating | 4.4 / 5 | 3.6 / 5 |
| Best for | Buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential. | 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 | Not published | Not published |
| Primary tech stack | Python, LangChain, LangGraph | Python, LangChain, AWS |
| Industries served | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Healthcare, Technology & SaaS |
Vstorm vs Code Brew Labs: overview
Vstorm
Vstorm is a Wrocław, Poland-based boutique agency founded in October 2017 by CEO Antoni Kozelski and VP Bartosz Gonczarek, with a compact team of 11–50 people, operating exclusively as an agentic AI engineering consultancy. It was the first AI consultancy accepted into the Agentic AI Foundation (AAIF) and publishes its own TriStorm delivery framework. As an 11–50 person shop, it sits at the smaller end of this list, giving buyers direct access to the same senior engineers who scope the work.
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: Vstorm vs Code Brew Labs
| Capability | Vstorm | Code Brew Labs |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✗ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✓ |
Tech stack comparison: Vstorm vs Code Brew Labs
| Framework / platform | Vstorm | Code Brew Labs |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | ✓ | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Vstorm vs Code Brew Labs
| Criterion | Vstorm | Code Brew Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Vstorm vs Code Brew Labs
| Dimension | Vstorm | Code Brew Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Healthcare, Technology & SaaS |
| Best use cases | Buyers wanting a vendor whose entire business is agentic AI, at a small-agency scale, Teams wanting standardized AGENTS.md documentation baked into delivery | 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 |
Vstorm vs Code Brew Labs: pros and cons
| Vstorm | |
|---|---|
| + | First AI consultancy formally accepted into the Agentic AI Foundation, an independently verifiable credential |
| + | Genuinely boutique scale (11–50 people) means direct access to the engineers who scope the work |
| + | Named proprietary delivery framework (TriStorm) gives buyers a concrete methodology to evaluate |
| + | Public commitment to AGENTS.md documentation on every project, easing long-term maintainability |
| - | 11–50 person team caps capacity for large or highly parallel programs |
| - | Founded relatively recently (October 2017) relative to some longer-tenured agencies on this list |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| 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 Vstorm?
Vstorm is the right choice for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential..
First AI consultancy accepted into the Agentic AI Foundation, at a genuinely boutique (11–50 person) agency scale.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Financial Services, Retail & E-commerce.
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: Vstorm vs Code Brew Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Vstorm |
| You need a large dedicated team for an ongoing programme | Vstorm |
| Your budget is at the lower end | Compare: Vstorm (Not published) vs Code Brew Labs (Not published) |
| You need specialist depth in a specific vertical | Vstorm |
| 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: Vstorm vs Code Brew Labs
| Use case | Vstorm fit | Code Brew Labs fit | Winner |
|---|---|---|---|
| Buyers wanting a vendor whose entire business is agentic AI, at a small-agency scale | Strong | Strong | Both equally |
| Teams wanting standardized AGENTS.md documentation baked into delivery | Strong | Limited | Vstorm |
| Buyers wanting to check a disclosed, countable prior-deployment track record before committing | Strong | Strong | Both equally |
| 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: Vstorm vs Code Brew Labs
Vstorm (4.4/5) is the stronger overall choice for most AI Agent Development projects. First AI consultancy accepted into the Agentic AI Foundation, at a genuinely boutique (11–50 person) agency scale.. It is best for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential..
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
Vstorm vs Code Brew Labs FAQ
Is Vstorm better than Code Brew Labs?
Vstorm (4.4/5) scores higher overall, but "better" depends on your use case. Vstorm is better for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential.. 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 Vstorm and Code Brew Labs differ in pricing?
Vstorm uses fixed project, dedicated team pricing with a minimum engagement of Not published. 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: Vstorm 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 Vstorm and Code Brew Labs?
Vstorm's primary differentiator is: first ai consultancy accepted into the agentic ai foundation, at a genuinely boutique (11–50 person) agency scale.. 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 (11–50 vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (Technology & SaaS, Financial Services vs Financial Services, Healthcare).
Last reviewed: August 2026. Verify all details directly with each agency before making a decision.