# Fast Data Science vs Vstorm

> Comparing AI Development options: London vs Wrocław. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/fast-data-science-vs-vstorm
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Fast Data Science | Vstorm |
|---|---|---|
| Editorial score | 68/100 | 73/100 |
| Hourly rate | €175-260/hr (directory-listed) | €85-130/hr (directory-listed) |
| Team size | 2-9 | 10-49 |
| Location | London, United Kingdom | Wrocław, Poland |
| Founded | 2018 | 2017 |
| Last reviewed | 2026-09-07 | 2026-09-08 |
| Services | AI Development, AI Consulting | AI Consulting, AI Development, Generative AI, AI Agents |
| Industries | Healthcare, Public Sector, SaaS & B2B | Healthcare, Manufacturing, SaaS & B2B |

## Our take on Fast Data Science
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

The Clinical Trial Risk Tool is the strongest evidence a shop this size can offer: commissioned by the Gates Foundation, built over more than a year as an ensemble of machine-learning and rule-based models that extract sample size, phase, effect size and statistical-analysis-plan presence from protocols running to 200 pages, deployed publicly, open-sourced under MIT, and written up in Gates Open Research with a DOI.

The consulting record is public-sector and pharma—the Information Commissioner's Office email classifier trained inside an isolated environment on data that could not be retained, Boehringer Ingelheim's factory error-report clustering, Skills Development Scotland's causal analysis using DoWhy and instrumental variables, plus the WHO and the Office of Rail and Road.

What the cases do not carry is outcome numbers: the Skills Development Scotland write-up concludes that interventions appeared to be well-targeted, which is a research finding rather than a delivered result.

At €175-260 an hour this is the most expensive listing in London, so the question is what a named principal's time buys that a larger team's does not.

### Key strengths
- The Clinical Trial Risk Tool is peer-reviewed (Gates Open Res 2023, doi:10.12688/gatesopenres.14416.1), publicly deployed and MIT-licensed
- Sensitive-data constraints are handled explicitly—the ICO model was trained inside an isolated environment with no training data retained
- The client list is institutional and verifiable: Gates Foundation, WHO, NHS, ICO, Boehringer Ingelheim, Wellcome Trust

### Good to know
- No case study publishes an outcome number—ask what changed for the client after delivery
- At €175-260/hr against a 2-9 headcount, ask who does the work and what happens when they are unavailable
- The published strength is NLP and research-grade analysis—ask for evidence before commissioning a production platform

## Our take on Vstorm
Reviewed 2026-09-08 by Gabor Kiss against published evidence.

Three named-client case studies carry the stack and the numbers: Mixam's order agent is live at 10,000+ daily users and about 100,000 orders a month, Synera's text-to-workflow agent runs inside the product behind a validator that rejects illegal code before it reaches the interpreter, and the Schmitt-Thompson clinical triage system is scored against 591 nurse-validated scenarios.

That write-up also publishes what still fails—no positive triage question found after correct guideline selection, mis-selection on ambiguous complaints—and says the system is still in active development, which is more disclosure than most published AI work carries.

About half the portfolio is anonymized, the team page names four people against a stated 25+ engineers, and the 37-kernel CUDA-to-Gaudi port is credited to Intel on the about page but to a confidential client in the case-study index—ask who would staff your build and which logo-wall engagements you can hear about in detail.

The weaker fit is European buyers who need EU AI Act conformity work delivered: the published compliance evidence is HIPAA and US healthcare, with the AI Act appearing in the blog rather than in a documented engagement.

### Key strengths
- Case studies publish the architecture, not only the outcome: a four-stage PydanticAI pipeline with Logfire tracing for clinical triage, and a validator loop between the LLM and Synera's interpreter
- Results stated against baselines and expert panels: 44% raw-LLM to 93% disposition accuracy over 591 scenarios, and 95.4% workflow success at Mixam against the client's 80% target
- Rate sits at €85–130/hr, inside the European range on our rate index, against agents already carrying production volume—10,000+ daily users at Mixam

### Good to know
- About half the published case studies are anonymized—a US Medicare Advantage payer, a US telecom, a construction platform—so ask for a speakable reference on the engagement closest to yours
- The team page names four people—two founders, an AI engineering lead, a recruiter—against a stated 25+ engineers; ask who builds and who operates the system after handover
- Tetra Pak, Mercedes-Benz and Intel appear on the about page with one line and no case study, and the Intel-branded kernel port is filed under a confidential client—ask what shipped in each

## Which to choose
Choose Fast Data Science for:
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector

Choose Vstorm for:
- a more cost-effective engagement (~102% lower rate)
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing
- broader service offering — also covers Generative AI and AI Agents

## Questions buyers ask

### Which is cheaper, Fast Data Science or Vstorm?
Vstorm is cheaper by roughly 102% — €108/hr median vs €218/hr at Fast Data Science. Published rates cover different things at different agencies — seniority mix, discovery and included revisions are the usual variables — so treat the gap as a question to ask, not a verdict.

### Which has more Healthcare experience, Fast Data Science or Vstorm?
Both agencies show documented Healthcare work and have similar industry breadth. Compare directly on the agency profiles: Fast Data Science and Vstorm.

### Which scores higher overall, Fast Data Science or Vstorm?
Vstorm scores 73/100, 5 points higher than Fast Data Science at 68/100. See our methodology for how scores are calculated.

### When should I consider both Fast Data Science and Vstorm?
Consider running parallel discovery briefs with Fast Data Science and Vstorm if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates