Vstorm vs Endava: full comparison for 2026
Last updated: August 2026
Quick verdict
Vstorm (4.6/5) edges ahead of Endava (4.0/5) overall. Vstorm is the better choice for eU mid-market buyers wanting a consultancy whose entire practice is agentic AI, with public EU AI Act commentary from its own founders.. Endava is the stronger option for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. The right choice depends on your project size, budget, and required tech stack.
Vstorm vs Endava: head-to-head summary
| Criterion | Vstorm | Endava |
|---|---|---|
| Founded | 2017 | 2000 |
| HQ | Wrocław, Poland | London, UK |
| Team size | 11–50 | 10,000+ |
| Rating | 4.6 / 5 | 4.0 / 5 |
| Best for | EU mid-market buyers wanting a consultancy whose entire practice is agentic AI, with public EU AI Act commentary from its own founders. | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. |
| Pricing model | Fixed project, dedicated team | Dedicated team, retainer, time & materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, LangGraph | Python, OpenAI, LangChain |
| Industries served | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
Vstorm vs Endava: 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, operating fully within the EU 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, with a public commitment to AGENTS.md documentation on every project. As a Polish company, it falls squarely under GDPR without any cross-border transfer questions for EU clients, and its founders speak and publish regularly on EU AI Act readiness specifically.
Endava
Endava was founded in 2000 and is headquartered in London, UK, with over 10,000 employees across 26 locations. It has embedded OpenAI's AI agents directly into its own software delivery workflow, branded as DavaFlow, making it one of the few firms on this list that has publicly documented using agentic AI to redesign its own internal delivery process, not just sell it to clients. As a UK-headquartered, NYSE-listed company, it offers public financial disclosure but sits outside EU jurisdiction post-Brexit for its own corporate entity.
Services and capabilities: Vstorm vs Endava
| Capability | Vstorm | Endava |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✗ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Vstorm vs Endava
| Framework / platform | Vstorm | Endava |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | ✓ | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Vstorm vs Endava
| Criterion | Vstorm | Endava |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Vstorm vs Endava
| Dimension | Vstorm | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | EU buyers wanting a vendor whose entire business is agentic AI, fully within EU jurisdiction, Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally, UK and European enterprises needing large-scale dedicated-team engagements |
| Typical project type | Fixed project | Dedicated team |
Vstorm vs Endava: pros and cons
| Vstorm | |
|---|---|
| + | First AI consultancy formally accepted into the Agentic AI Foundation, an independently verifiable credential |
| + | Fully EU-domiciled (Poland), avoiding cross-border transfer complexity for European clients |
| + | Named proprietary delivery framework (TriStorm) gives buyers a concrete methodology to evaluate |
| + | Founders publish specifically on EU AI Act readiness, not just generic AI commentary |
| - | 11–50 person team caps capacity for large or highly parallel programs |
| - | Founded relatively recently (October 2017) relative to some longer-tenured European competitors on this list |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| Endava | |
|---|---|
| + | Publicly documented use of OpenAI's agentic AI in its own internal delivery methodology (DavaFlow) |
| + | NYSE-listed with public financial disclosure |
| + | 10,000+ employees across 26 locations gives substantial bench depth |
| + | Quarter-century of digital consultancy history since 2000 |
| - | UK-headquartered, so post-Brexit it sits outside EU jurisdiction for its own corporate entity |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | 26-location scale can mean less senior-architect access than boutique competitors |
Who should choose Vstorm?
Vstorm is the right choice for eU mid-market buyers wanting a consultancy whose entire practice is agentic AI, with public EU AI Act commentary from its own founders..
First AI consultancy accepted into the Agentic AI Foundation, EU-domiciled, with founders who publish specifically on EU AI Act readiness.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Financial Services, Retail & E-commerce.
Who should choose Endava?
Endava is the right choice for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare.
Decision matrix: Vstorm vs Endava
| 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 Endava (Not published) |
| You need specialist depth in a specific vertical | Endava |
| 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 Endava
| Use case | Vstorm fit | Endava fit | Winner |
|---|---|---|---|
| EU buyers wanting a vendor whose entire business is agentic AI, fully within EU jurisdiction | Strong | Strong | Both equally |
| Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Strong | Limited | Vstorm |
| Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally | Strong | Strong | Both equally |
| UK and European enterprises needing large-scale dedicated-team engagements | Limited | Strong | Endava |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Vstorm vs Endava
Vstorm (4.6/5) is the stronger overall choice for most AI Agent Development projects. First AI consultancy accepted into the Agentic AI Foundation, EU-domiciled, with founders who publish specifically on EU AI Act readiness.. It is best for eU mid-market buyers wanting a consultancy whose entire practice is agentic AI, with public EU AI Act commentary from its own founders..
Endava (4.0/5) is the better choice when uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. If your situation matches those criteria, Endava is a competitive option.
Related comparisons
Vstorm vs Endava FAQ
Is Vstorm better than Endava?
Vstorm (4.6/5) scores higher overall, but "better" depends on your use case. Vstorm is better for eU mid-market buyers wanting a consultancy whose entire practice is agentic AI, with public EU AI Act commentary from its own founders.. Endava is better for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
How do Vstorm and Endava differ in pricing?
Vstorm uses fixed project, dedicated team pricing with a minimum engagement of Not published. Endava uses dedicated team, retainer, time & materials 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 Endava?
Endava is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Vstorm and Endava?
Vstorm's primary differentiator is: first ai consultancy accepted into the agentic ai foundation, eu-domiciled, with founders who publish specifically on eu ai act readiness.. Endava's primary differentiator is: a named, openai-powered internal delivery methodology (davaflow) — evidence the firm applies agentic ai to its own software delivery, not just client work.. They also differ in team size (11–50 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Technology & SaaS, Financial Services vs Financial Services, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.