Vstorm
Editor's pick #1Boutique agentic AI consultancy, first accepted into the Agentic AI Foundation.
Founded 2017 | Wrocław, Poland | 11–50 employees | Last updated: August 2026
multi-agent-systemsagent-orchestrationrag-knowledge-agents
What is 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, operating 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 TriStorm delivery framework, alongside a public commitment to AGENTS.md documentation on every project it delivers.
Vstorm was founded in 2017 and is headquartered in Wrocław, Poland. The firm employs 11–50 people and works primarily with clients in Technology & SaaS, Financial Services, Retail & E-commerce sectors. Its primary differentiator is: First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation..
Vstorm tech stack and services
PythonLangChainLangGraphOpenAIAnthropic ClaudeAWS
| Service area | Details |
|---|---|
| Companies wanting a vendor whose entire business is agentic AI, no other service lines | Available for Technology & SaaS, Financial Services, Retail & E-commerce clients |
| Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Available for Technology & SaaS, Financial Services, Retail & E-commerce clients |
| Mid-market companies beginning their first serious agentic AI transformation | Available for Technology & SaaS, Financial Services, Retail & E-commerce clients |
Vstorm use cases
Short answer: Vstorm is best suited for buyers wanting a company whose entire practice is agentic AI, not a generalist shop with an AI page..
| Use case | Industries | Approach |
|---|---|---|
| Companies wanting a vendor whose entire business is agentic AI, no other service lines | Technology & SaaS, Financial Services | Python, LangChain |
| Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Technology & SaaS, Financial Services | Python, LangChain |
| Mid-market companies beginning their first serious agentic AI transformation | Technology & SaaS, Financial Services | Python, LangChain |
Vstorm pricing
Short answer: Vstorm uses a fixed project, dedicated team pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Vstorm does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Vstorm pros and cons
| Advantages | Things to consider |
|---|---|
| +First AI consultancy formally accepted into the Agentic AI Foundation, an independently verifiable credential | -11–50 person team caps capacity for large or highly parallel programs |
| +Exclusively agentic AI as its practice, not a generalist shop with an AI service line added on | -Founded relatively recently (October 2017) relative to some longer-tenured competitors on this list |
| +Named proprietary delivery framework (TriStorm) gives buyers a concrete methodology to evaluate | -Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| +Standardizes AGENTS.md documentation across every delivered project, easing long-term maintainability |
Vstorm vs alternatives
How Vstorm compares to the other top Agentic AI companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Companies that want a working agentic AI MVP... | Graph-based memory for multi-step reasoning plus a one-month path to a production MVP, without a platform overhaul. | 4.5 | Full comparison |
| Stride Consulting | Companies that want an autonomous agent to reason... | A named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests. | 4.4 | Full comparison |
| Tribe AI | Enterprises wanting frontier-model expertise matched to their specific... | A platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific AI use case. | 4.4 | Full comparison |
| Neurons Lab | Regulated financial-services organizations wanting agentic AI delivered by... | AWS Advanced Tier partner status with named financial-institution delivery experience at a boutique headcount. | 4.3 | Full comparison |
| RTS Labs | Mid-market and enterprise teams that have an AI... | Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping. | 4.2 | Full comparison |
| LatentView Analytics | Buyers wanting agentic AI from a publicly traded... | Publicly traded (NSE) status gives buyers financial transparency uncommon among firms of similar scale in this niche. | 4.2 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises that want agentic AI delivered... | Public-company scale (Nasdaq: GDYN) combined with an explicit, named agentic AI practice. | 4.1 | Full comparison |
| MathCo | Enterprises wanting agentic AI from a dual-headquartered US/India... | Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale. | 4.1 | Full comparison |
| Centific | Enterprises wanting agentic AI built on top of... | An AI data foundry specialization — data pipeline and curation infrastructure for training and deploying AI at scale — feeding directly into agentic AI delivery. | 4.0 | Full comparison |
| Markovate | Product teams that already have a generative-AI roadmap... | Generative AI and LLM development as the core practice, with agent work built as a natural extension rather than a separate offering. | 4.0 | Full comparison |
| Azumo | US companies that want nearshore-priced engineering with named... | Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration. | 4.0 | Full comparison |
| Accenture | Large multinational enterprises needing agentic AI embedded into... | Unmatched global scale and named strategic partnerships (OpenAI, Microsoft/Avanade) for enterprise-wide agentic AI rollouts. | 4.0 | Full comparison |
| Cognizant | Large regulated enterprises needing agentic AI delivered as... | Enterprise-scale AI-led automation (Cognizant Neuro) backed by a 340,000-person global delivery organization. | 3.9 | Full comparison |
| IBM Consulting | Large enterprises already using or considering IBM's watsonx... | Combines its own agent orchestration platform (watsonx Orchestrate) with enterprise consulting and implementation at global scale. | 3.9 | Full comparison |
| Kanerika | Organizations that want agentic AI built on top... | Data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately. | 3.9 | Full comparison |
| Master of Code Global | Brands that need customer-facing conversational agents built by... | Twenty years of conversational AI and chatbot delivery history predating the current agentic AI wave. | 3.9 | Full comparison |
| Matellio | Enterprises that want agentic AI folded into a... | Combines AI/agent development with broader enterprise cloud application engineering under one roof. | 3.8 | Full comparison |
| Deviniti | Enterprises already on the Atlassian ecosystem that want... | Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration. | 3.8 | Full comparison |
| Azilen Technologies | Enterprises wanting a full spectrum of agent complexity,... | Covers the full agent complexity spectrum — single-task through multi-agent architectures — under one product-engineering practice. | 3.8 | Full comparison |
| N-iX | Large enterprises that want agentic AI delivered alongside... | Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top. | 3.8 | Full comparison |
| Innowise | Enterprises wanting agentic AI bundled with large-scale custom... | Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice. | 3.7 | Full comparison |
| Netguru | Buyers wanting design and engineering bundled under a... | Bundles product design and engineering under one contract, avoiding the separate UX vendor gap common with AI-only specialists. | 3.7 | Full comparison |
| Ideas2IT | Enterprises wanting agentic AI from a mid-large product... | Product engineering scale (800+ employees) combined with an explicit AI-and-innovation practice positioning. | 3.7 | Full comparison |
| EffectiveSoft | Enterprises wanting agentic AI from a long-established custom... | Quarter-century of enterprise custom software delivery history combined with a dedicated, named agentic AI development service line. | 3.7 | Full comparison |
| *instinctools | Fortune 500 and large enterprise clients wanting agentic... | A quarter-century of engineering history serving Fortune 500 clients, with dual German and US headquarters for transatlantic delivery. | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting multi-agent business-process automation from an... | Explicit specialization in multi-agent collaborative systems for business process optimization at an India-based cost point. | 3.6 | Full comparison |
| LeewayHertz | Enterprises wanting multi-agent system design with deep ERP/CRM... | Deep multi-agent architecture and orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition. | 3.6 | Full comparison |
| Softermii | Product teams wanting agentic AI folded into a... | Full-cycle web and mobile application development discipline applied to agent-powered product features. | 3.6 | Full comparison |
| DevCom | Companies wanting agentic AI handled with the same... | Full-lifecycle software delivery discipline — planning through production support — applied to agentic AI projects. | 3.6 | Full comparison |
| Intuz | Budget-conscious teams wanting production-grade multi-agent systems with real... | Named production experience across four agent frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard. | 3.6 | Full comparison |
| Cogniteq | Cost-conscious buyers wanting a boutique European team for... | Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms. | 3.6 | Full comparison |
| Codebridge Technology | Teams already running a .NET or web stack... | .NET and web development specialization applied to agentic AI, aimed at teams already standardized on that stack. | 3.6 | Full comparison |
| Riseup Labs | Startups and budget-constrained teams needing a lower-cost entry... | South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects. | 3.6 | Full comparison |
| Uvik Software | Smaller teams and startups that want senior Python... | Python-and-Django engineering depth carried directly into AI and agent development, at boutique scale. | 3.6 | Full comparison |
Vstorm FAQ
What is 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, operating 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 TriStorm delivery framework, alongside a public commitment to AGENTS.md documentation on every project it delivers.
How much does Vstorm charge?
Vstorm uses fixed project, dedicated team pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Vstorm use?
Vstorm works with Python, LangChain, LangGraph, OpenAI, Anthropic Claude, AWS. Primary industries served include Technology & SaaS, Financial Services, Retail & E-commerce.
Is Vstorm right for enterprise?
Buyers wanting a company whose entire practice is agentic AI, not a generalist shop with an AI page.. 11–50 team size. Key consideration: 11–50 person team caps capacity for large or highly parallel programs.
What are the best Vstorm alternatives?
The best alternatives to Vstorm depend on your use case. Top options are:
- Tensorway: graph-based memory for multi-step reasoning plus a one-month path to a production mvp, without a platform overhaul.
- Stride Consulting: a named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests.
- Tribe AI: a platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific ai use case.
Compare Vstorm with other Agentic AI companies
Vstorm vs Tensorway Vstorm vs Stride Consulting Vstorm vs Tribe AI Vstorm vs Neurons Lab Vstorm vs RTS Labs Vstorm vs LatentView Analytics Vstorm vs Grid Dynamics Vstorm vs MathCo Vstorm vs Centific Vstorm vs Markovate Vstorm vs Azumo Vstorm vs Accenture Vstorm vs Cognizant Vstorm vs IBM Consulting Vstorm vs Kanerika Vstorm vs Master of Code Global Vstorm vs Matellio Vstorm vs Deviniti Vstorm vs Azilen Technologies Vstorm vs N-iX Vstorm vs Innowise Vstorm vs Netguru Vstorm vs Ideas2IT Vstorm vs EffectiveSoft Vstorm vs *instinctools Vstorm vs Signity Solutions Vstorm vs LeewayHertz Vstorm vs Softermii Vstorm vs DevCom Vstorm vs Intuz Vstorm vs Cogniteq Vstorm vs Codebridge Technology Vstorm vs Riseup Labs Vstorm vs Uvik Software
Last reviewed: August 2026. Verify all details directly with Vstorm before making a decision.