Vstorm
Wrocław boutique that builds LLM agents and retrieval systems clients run themselves
Founded 2017 | Wrocław, Poland | 10–49 employees
agentic-aillm-api-integrationprocess-automation
What is Vstorm?
Vstorm is a small agentic-AI consultancy founded in 2017 in Wrocław, Poland, with 10–49 employees according to Clutch. It focuses on retrieval-augmented generation and multi-step agents for business processes, and says it was the first partner of PydanticAI and the first consulting firm to join the Agentic AI Foundation (per company website; independently unverifiable). Its TriStorm method takes a workflow from strategy through a production agent that the client's own team owns afterwards.
Vstorm works primarily with clients in Manufacturing, Financial services, Professional services sectors. Its primary differentiator is: Agent specialists who hand over a production system the client team can maintain without them.
Vstorm tech stack and services
PydanticAILangChainLangGraphAzure OpenAIPython
| Service area |
|---|
| Agentic AI |
| LLM API Integration |
| Process Automation |
Vstorm pricing
Short answer: Fixed-scope workshops and builds, then T&M; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Time & materials | 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 |
|---|---|
| +Narrow focus on agents means the team has seen many of the failure modes before | -A team under 50 limits how many parallel workstreams it can run |
| +Handover to the client team is designed in from the start | -Few published examples of deep ERP or CRM integration |
| +Early contributor to open agent frameworks such as PydanticAI | -Client and partnership claims come mostly from its own materials |
| +Small enough that senior engineers do the actual work |
Vstorm vs alternatives
How Vstorm compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Vstorm FAQ
What is Vstorm?
Wrocław boutique that builds LLM agents and retrieval systems clients run themselves
How much does Vstorm charge?
Pricing at Vstorm: Fixed-scope workshops and builds, then T&M; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Vstorm use?
Vstorm works with PydanticAI, LangChain, LangGraph, Azure OpenAI, Python. Primary industries served include Manufacturing, Financial services, Professional services.
Is Vstorm right for enterprise?
Teams wanting agents they will own and maintain. 10–49 team size. Key consideration: A team under 50 limits how many parallel workstreams it can run.
What are the best Vstorm alternatives?
The best alternatives to Vstorm depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Vstorm with other AI Integration companies
Vstorm vs Tensorway Vstorm vs Provectus Vstorm vs Slalom Vstorm vs Neurons Lab Vstorm vs TTMS Vstorm vs Avanade Vstorm vs deepsense.ai Vstorm vs Addepto Vstorm vs Quantiphi Vstorm vs Grid Dynamics Vstorm vs EPAM Systems Vstorm vs Accenture Vstorm vs Perficient Vstorm vs Azumo Vstorm vs RTS Labs Vstorm vs Thoughtworks Vstorm vs InData Labs Vstorm vs Master of Code Global Vstorm vs Deloitte Vstorm vs IBM Consulting Vstorm vs Globant Vstorm vs N-iX Vstorm vs ScienceSoft Vstorm vs Itransition Vstorm vs Miquido Vstorm vs Markovate Vstorm vs LeewayHertz
Verify all details directly with Vstorm before making a decision.