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New: the dataset now includes 2,277 company profiles and every supplied review record. See the methodology →
◎ RankGlobal mapped

Fast Data Science

Natural Language Processing · Predictive Analytics · Automation & WorkflowLondon, UKFounded 2018

Fast Data Science delivers NLP-focused AI consulting and custom data-science solutions, turning unstructured text into actionable insights for healthcare, pharma, legal, insurance, and public-sector clients across various industries.

4.9
Average rating
13
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
Natural Language Processing
Team size
1-10 employees
Typical budget
$25K - $75K
Primary industry
Government & Public Sector
Provider overview

A clear view of what Fast Data Science does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
Natural Language Processing provider for Government & Public Sector

Fast Data Science delivers NLP-focused AI consulting and custom data-science solutions, turning unstructured text into actionable insights for healthcare, pharma, legal, insurance, and public-sector clients across various industries. RankGlobal maps its primary capability to Natural Language Processing within Natural Language Processing, with supporting relevance to Text Classification, Predictive Analytics. Its strongest supplied industry signals align with Public Administration & Citizen Services, HealthTech Platforms, Legal Technology.

See how this profile was mapped →
Primary AI category
Natural Language Processing
Strongest industry signal
Government & Public Sector
Engagement profile·$25K - $75K·1-10 employees·Service
Mapped capabilities · 5 categories
Technology

Platforms, methods and technical signals

Natural Language ProcessingMachine LearningPythonLLMs

Tools and platforms named in Fast Data Science's supplied company profile.

Expertise

Named expertise on file

  • Data science consulting

    Expert data science services to analyse, model, and extract actionable insights from structured and unstructured data

    data science consultingpredictive insightsML workflowsunstructured databusiness analytics
  • AI strategy

    End‑to‑end AI strategy consulting that identifies opportunities, prioritizes use cases, and develops implementation roadmaps

    AI strategy consultingopportunity prioritizationimplementation planningexecutive alignment
  • Custom NLP tools

    Tailored natural language processing solutions for semantic search, classification, and domain‑specific text analytics

    NLP toolssemantic searchtext classificationunstructured text analyticscustom model
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Fast Data Science, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
Natural Language Processing
Compared with
814 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
53rd percentile of 814 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

Natural Language Processing among 814 published providers

Average rating4.86 · median 4.83
Mapped reviews13 · median 10
Profile completeness100% · median 100%
Taxonomy breadth25 · median 22
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
Natural Language Processing100%
Predictive Analytics96%
Automation & Workflow76%
Conversational AI76%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
5 industries on the map
5
Healthcare & Life Sciences33%
Government & Public Sector17%
Legal, Risk & Compliance17%
Manufacturing & Industrial17%
Personal, Household & Community Services17%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct20% · 5
Supported60% · 15
Related8% · 2
Adjacent12% · 3

Imported mapping grades across 25 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Fast Data Science presents as a strong evidence profile for Natural Language Processing. It ranks in the 53rd percentile of 814 published providers in Natural Language Processing, and 13 reviews back the commercial profile.

Current positioning: P53 evidence quality · P71 industry breadth
Strongest signals
Evidence-backed strength in Natural Language Processing is the profile's clearest signal in the mapped taxonomy.
Best user fit
Government & Public Sector buyers evaluating Natural Language Processing at a $25K - $75K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
13
Reviews
4.9
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

6 mapped subindustries
Client feedback

What clients say.

Reviews and ratings published for this provider.

We really enjoyed working with them and interacting with the high-quality Dash Apps they are building.

Adam Schroeder

FDS exceeded our expectations, producing a few example tools to truly demonstrate potential opportunities for innovation.

John Linney

Thomas quickly became a key member of the wider project team. We couldn't be happier with the level of professionalism and adaptability of FDS.

Eoin McElroy
5
Ensuring HIPAA and GDPR Compliance via Secure Data Pipelines

Their commitment to GDPR and HIPAA is evident in every deployment. They build security into the data pipeline from day one.

Compliance Officer
5
Enhancing Phase III Clinical Trials with AI Risk Identification

Their Clinical Trial Risk Tool is revolutionary. It identified high-risk sites in our Phase III trial that traditional monitoring missed entirely.

Director, Clinical Operations
5
Optimizing Biological Data Analysis with High-Accuracy Drug NER

Thomas and his team are rare: they actually understand the biology behind the data. Their drug NER library is the most accurate we've used.

Head of Data, BioTech
5
Reducing Insurance Document Triage Time by 75% via NLP

The 'Insurtech' NLP model they built for us reduced our document triage time by 75%. It handles complex legal jargon with human-level nuance.

Product Manager, LegalTech
5
Analyzing Satellite Imagery for High-Accuracy Carbon Credit Studies

We used their forest monitoring AI for a carbon credit study. The accuracy of the satellite imagery analysis was stellar.

Lead Researcher (University)
5
Building Clinician Trust via High-Logic Explainable AI Models

Exceptional at 'Explainable AI.' They didn't just give us a black box; they gave us a model that clinicians actually trust because they can see the logic.

CEO, Healthcare Startup

10 mapped reviews · 13 published quotes

Showing 9 of 13, ranked by display order then recency.

Rating distribution
5
10
4
0
3
0
2
0
1
0

Ratings aggregate 13 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Fast Data Science, and the three things worth confirming directly once you're in touch.

Primary category
Natural Language Processing
Primary industry
Government & Public Sector
Typical budget
$25K - $75K
Team size
1-10 employees
  1. 1
    Name the use case

    Say which Natural Language Processing problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $25K - $75K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Government & Public Sector — the strongest industry signal on this profile.

Enquire about Fast Data Science

Three fields. Anything longer belongs on the full contact page, linked below.