Vstorm vs Gradient Labs: full comparison for 2026
Last updated: August 2026
Quick verdict
Vstorm (4.6/5) edges ahead of Gradient Labs (4.3/5) 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.. Gradient Labs is the stronger option for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. The right choice depends on your project size, budget, and required tech stack.
Vstorm vs Gradient Labs: head-to-head summary
| Criterion | Vstorm | Gradient Labs |
|---|---|---|
| Founded | 2017 | 2023 |
| HQ | Wrocław, Poland | London, UK |
| Team size | 11–50 | 11–50 |
| Rating | 4.6 / 5 | 4.3 / 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 financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent. |
| Pricing model | Fixed project, dedicated team | Retainer, platform licensing |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, LangGraph | Python, LangChain, OpenAI |
| Industries served | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Banking |
Vstorm vs Gradient Labs: 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.
Gradient Labs
Gradient Labs is a London-based startup founded in 2023 by former Monzo Bank employees Dimitri Masin, Neal Lathia, and Danai Antoniou, with roughly 46 employees and $13M+ in Series A funding at a $60M valuation. Its flagship product, Otto, is an autonomous agent purpose-built for customer operations in regulated financial services, engineered to resolve complex queries end-to-end while maintaining compliance, reportedly achieving up to a 90% resolution rate with a 98% QA pass rate. Its narrow, financial-services-specific focus and UK domicile make it a fit for buyers wanting deep regulatory fluency over broad horizontal agent capability.
Services and capabilities: Vstorm vs Gradient Labs
| Capability | Vstorm | Gradient Labs |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✗ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✓ |
| Customer-facing agents | ✗ | ✓ |
Tech stack comparison: Vstorm vs Gradient Labs
| Framework / platform | Vstorm | Gradient Labs |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | ✓ | ✓ |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Vstorm vs Gradient Labs
| Criterion | Vstorm | Gradient Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Vstorm vs Gradient Labs
| Dimension | Vstorm | Gradient Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Financial Services, Retail & E-commerce | Financial Services, Banking |
| 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 | Regulated financial-services firms wanting a purpose-built autonomous customer-operations agent, Banking or insurance clients needing compliance-fluent agent behavior out of the box |
| Typical project type | Fixed project | Retainer |
Vstorm vs Gradient Labs: 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 |
| Gradient Labs | |
|---|---|
| + | Founding team's direct experience at Monzo (a regulated UK bank) feeds real compliance fluency into Otto |
| + | Named, benchmarked production agent with disclosed resolution-rate and QA-pass-rate figures |
| + | Venture-backed ($13M+ Series A) with runway to keep investing in the product |
| + | UK domicile with a narrow, deep focus on regulated financial services specifically |
| - | Very narrow focus (financial-services customer operations) — not a fit for other verticals or broader custom agent builds |
| - | Small team (~46 employees) limits capacity and account-management bandwidth |
| - | As a product company rather than a services firm, engagement is closer to platform licensing than bespoke development |
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 Gradient Labs?
Gradient Labs is the right choice for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent..
Otto, a named production agent for regulated financial-services customer operations, built by founders with direct Monzo banking-compliance experience.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Banking.
Decision matrix: Vstorm vs Gradient 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 Gradient 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 Gradient Labs
| Use case | Vstorm fit | Gradient Labs fit | Winner |
|---|---|---|---|
| EU buyers wanting a vendor whose entire business is agentic AI, fully within EU jurisdiction | Strong | Limited | Vstorm |
| Teams wanting standardized AGENTS.md documentation baked into delivery for future maintainability | Strong | Limited | Vstorm |
| Regulated financial-services firms wanting a purpose-built autonomous customer-operations agent | Limited | Strong | Gradient Labs |
| Banking or insurance clients needing compliance-fluent agent behavior out of the box | Limited | Strong | Gradient Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Vstorm vs Gradient Labs
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..
Gradient Labs (4.3/5) is the better choice when uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. If your situation matches those criteria, Gradient Labs is a competitive option.
Related comparisons
Vstorm vs Gradient Labs FAQ
Is Vstorm better than Gradient Labs?
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.. Gradient Labs is better for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent..
How do Vstorm and Gradient Labs differ in pricing?
Vstorm uses fixed project, dedicated team pricing with a minimum engagement of Not published. Gradient Labs uses retainer, platform licensing 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 Gradient Labs?
Vstorm 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 Gradient Labs?
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.. Gradient Labs's primary differentiator is: otto, a named production agent for regulated financial-services customer operations, built by founders with direct monzo banking-compliance experience.. They also differ in team size (11–50 vs 11–50), minimum engagement (Not published vs Not published), and primary industries served (Technology & SaaS, Financial Services vs Financial Services, Banking).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.