Vstorm vs Azumo: full comparison for 2026
Last updated: August 2026
Quick verdict
Vstorm (4.6/5) edges ahead of Azumo (4.0/5) overall. Vstorm is the better choice for mid-market buyers wanting a consultancy whose entire practice is agentic AI, not a generalist shop with an AI page.. Azumo is the stronger option for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. The right choice depends on your project size, budget, and required tech stack.
Vstorm vs Azumo: head-to-head summary
| Criterion | Vstorm | Azumo |
|---|---|---|
| Founded | 2017 | 2016 |
| HQ | Wrocław, Poland | San Francisco, CA, USA |
| Team size | 11–50 | 51–200 |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Best for | Mid-market buyers wanting a consultancy whose entire practice is agentic AI, not a generalist shop with an AI page. | US companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen. |
| Pricing model | Fixed project, dedicated team | Dedicated team, staff augmentation |
| Min. engagement | Not published | $20K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, LangGraph | Python, LangGraph, CrewAI |
| Industries served | Technology & SaaS, Financial Services, Retail & E-commerce | Technology & SaaS, Retail & E-commerce, Financial Services, Healthcare |
Vstorm vs Azumo: overview
Vstorm
Vstorm is a Wrocław, Poland-based boutique founded in October 2017 by CEO Antoni Kozelski and VP Bartosz Gonczarek, with a compact team of 11–50 people, and it markets itself explicitly and exclusively as an agentic AI engineering consultancy. It was the first AI consultancy accepted into the Agentic AI Foundation (AAIF) and has published its own delivery approach — the TriStorm framework — along with a public commitment to shipping AGENTS.md documentation on every project it delivers. Its narrow, agentic-only focus is unusually concentrated for its size, though that same size caps capacity for very large concurrent programs.
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 autonomously — a level of framework specificity procurement and technical teams can verify directly. Its nearshore staffing model trades some of the premium of onshore-only teams for time-zone-aligned delivery.
Services and capabilities: Vstorm vs Azumo
| Capability | Vstorm | Azumo |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✗ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Vstorm vs Azumo
| Framework / platform | Vstorm | Azumo |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | ✓ | ✓ |
| AutoGen | 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 Azumo
| Criterion | Vstorm | Azumo |
|---|---|---|
| Minimum engagement | Not published | $20K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Vstorm vs Azumo
| Dimension | Vstorm | Azumo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Financial Services, Retail & E-commerce | Technology & SaaS, Retail & E-commerce, Financial Services |
| Best use cases | Buyers who specifically want a vendor whose entire business is agentic AI, no other service lines, Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Building autonomous multi-agent systems that coordinate across CrewAI or AutoGen agents, Extending an internal engineering team with nearshore agentic AI capacity |
| Typical project type | Fixed project | Dedicated team |
Vstorm vs Azumo: pros and cons
| Vstorm | |
|---|---|
| + | First AI consultancy formally accepted into the Agentic AI Foundation, an independently verifiable credential |
| + | Exclusively agentic AI as its practice, not a generalist shop with an AI service line added on |
| + | Named proprietary delivery framework (TriStorm) gives buyers a concrete methodology to evaluate |
| + | Standardizes AGENTS.md documentation across every delivered 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 competitors on this list |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| 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-firm layers |
| + | Founded 2016 with a decade of nearshore delivery track record |
| - | Smaller team than the larger engineering firms 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 |
Who should choose Vstorm?
Vstorm is the right choice for mid-market buyers wanting a consultancy whose entire practice is agentic AI, not a generalist shop with an AI page..
First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation on every project.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Financial Services, Retail & E-commerce.
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 autonomous 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.
Decision matrix: Vstorm vs Azumo
| 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 Azumo ($20K (per company website; independently unverifiable)) |
| 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: Vstorm vs Azumo
| Use case | Vstorm fit | Azumo fit | Winner |
|---|---|---|---|
| Buyers who specifically want a vendor whose entire business is agentic AI, no other service lines | Strong | Limited | Vstorm |
| Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Strong | Limited | Vstorm |
| Building autonomous multi-agent systems that coordinate across CrewAI or AutoGen agents | Limited | Strong | Azumo |
| Extending an internal engineering team with nearshore agentic AI capacity | Limited | Strong | Azumo |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Vstorm vs Azumo
Vstorm (4.6/5) is the stronger overall choice for most Agentic AI Development projects. First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation on every project.. It is best for mid-market buyers wanting a consultancy whose entire practice is agentic AI, not a generalist shop with an AI page..
Azumo (4.0/5) is the better choice when uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen.. If your situation matches those criteria, Azumo is a competitive option.
Related comparisons
Vstorm vs Azumo FAQ
Is Vstorm better than Azumo?
Vstorm (4.6/5) scores higher overall, but "better" depends on your use case. Vstorm is better for mid-market buyers wanting a consultancy whose entire practice is agentic AI, not a generalist shop with an AI page.. Azumo is better for uS companies that want nearshore-priced engineering with named framework expertise in LangGraph, CrewAI, and AutoGen..
How do Vstorm and Azumo differ in pricing?
Vstorm uses fixed project, dedicated team pricing with a minimum engagement of Not published. Azumo uses dedicated team, staff augmentation pricing with a minimum engagement of $20K (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: Vstorm or Azumo?
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 provider before shortlisting.
What are the main differences between Vstorm and Azumo?
Vstorm's primary differentiator is: first ai consultancy accepted into the agentic ai foundation, with a named proprietary delivery framework (tristorm) and standardized agents.md documentation on every project.. Azumo's primary differentiator is: explicit, named production experience with langgraph, crewai, and microsoft autogen for autonomous multi-agent orchestration.. They also differ in team size (11–50 vs 51–200), minimum engagement (Not published vs $20K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Financial Services vs Technology & SaaS, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each provider before making a decision.