Agency Comparison
Fast Data Science vs Vstorm
Comparing AI Development options: London vs Wrocław.
Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Fast Data Science | Vstorm |
|---|---|---|
| Editorial score | 68/100 | Higher score: 73/100 |
| Hourly rate | €175-260/hr | Lower published rate: €85-130/hr |
| Team size | 2-9 | Larger team: 10-49 |
| Location | London, United Kingdom | Wrocław, Poland |
| Founded | 2018 | 2017 |
| Last reviewed | Sep 7, 2026 | More recent review: Sep 8, 2026 |
What we said about each
Our take on Fast Data Science
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…
Reviewed Sep 7, 2026
Read the full assessment →Our take on Vstorm
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…
Reviewed Sep 8, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Fast Data Science if you need
- closer collaboration at a smaller team scale
- disclosed specialization in Public Sector
Choose Vstorm if you need
- 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
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Fast Data Science
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
Watch-outs
- 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
Vstorm
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
Watch-outs
- 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
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Pricing math
What a 12-week engagement at one full-time equivalent (~480 hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
Fast Data Science
Rate: €175-260/hr
€84,000–€124,800
Vstorm
Rate: €85-130/hr
€40,800–€62,400
At this scope the published midpoints are about €52,800 apart, with Vstorm lower. Fast Data Science publishes Public Sector work that Vstorm does not — that is the one difference on this page that bears on the gap. If your brief does not touch it, the gap is buying something this comparison cannot see.
Frequently asked questions
- 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.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.