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Fast Data Science

Natural Language Processing · Predictive AnalyticsLondon, United KingdomFounded 2018

Fast Data Science is based in London, UK and works in Natural Language Processing for Insurance, with further work in Predictive Analytics.

Average rating
4.9
Reviews
4
Profile coverage
100%
Evidence percentile
P86

Profile updated · Request a correction

Company & commercials

Primary category
Natural Language Processing
Team size
2-9 employees
Typical budget
$5K - $15K
Primary industry
Financial Services & Insurance
Contact provider →Visit website ↗
Overview

What Fast Data Science does best.

About

Natural Language Processing provider for Financial Services & Insurance

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. Its own website shows its strongest capability in Natural Language Processing. The industry it describes most is Insurance.

Service model·Service
Primary AI categoryNatural Language Processing
Benchmarked against 701 providers in this category.
Primary industryFinancial Services & Insurance
Technology stack

3 platforms & methods

Bars show how many mapped capabilities use each one.

  • Natural Language Processing1 capability
  • Machine Learning1 capability
  • PythonProfile only
RankGlobal provider intelligence

Evidence report

How Fast Data Science compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryNatural Language Processing
Compared with701 providers
Signals3 signals
Status● Published
Evidence score
90/100
Strong evidence86th percentile of 701 peers · peer median 70
Profile coverage100
Taxonomy density100
Review signal50
Peer benchmarkHow the profile comparesNatural Language Processing among 701 published providers
Average rating4.90 · median 4.89
Independent reviews4 · median 0
Profile completeness100% · median 70%
Taxonomy breadth17 · median 31
This profile Peer median
Signal radarMulti-dimensional evidence
RatingIndependent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries4 industries
Healthcare & Life Sciences57%
Financial Services & Insurance14%
Government & Public Sector14%
Legal, Risk & Compliance14%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
59%Direct · 10 mappings
41%Supported · 7 mappings
Grades across 17 mappings. Not a search ranking.
Analyst summary

What the evidence says

Fast Data Science presents as a strong evidence profile for Natural Language Processing. It ranks in the 86th percentile of 701 published providers in Natural Language Processing, and 4 reviews back the commercial profile.

Current positioning: P86 evidence quality · P17 industry breadth
Strongest signalsEvidence-backed strength in Natural Language Processing is the profile's clearest signal in the mapped taxonomy.
Best user fitFinancial Services & Insurance buyers evaluating Natural Language Processing at a $5K - $15K engagement size.
Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
How this report is calculated →
Capabilities

AI capabilities.

Primary AI category · 1 / 10

Natural Language Processing

—
DirectSupportedRelatedAdjacentOne of 702 providers in this category
Compare Natural Language Processing providers →
Technology usedNatural Language Processing

Mapping source · https://fastdatascience.com/ — “ation Insolvency Bot (legal Q&A) Skills Skills overview Generative AI Natural language processing Cloud machine learning Predictive analytics Conversion optimisation D”

Featured 10 of 10 capabilities, ranked by mapping grade then confidence.

Industry experience · 4 industries · 7 subindustries

Industries served.

4 Core0 Adjacent · discovery only
  • InsuranceDirect · Primary
    80%

    https://fastdatascience.com/ — “ocessing, Generative AI, Machine Learning, Healthcare, Pharma, Legal, Insurance… Contact us Read what our clients are saying about Fast Data Science”

Client feedback

What clients say.

4.94 independent reviews

Compiled from independent review platforms and client reviews verified by RankGlobal. How we count reviews

Testimonial
We really enjoyed working with them and interacting with the high-quality Dash Apps they are building.
ASAdam SchroederFrom the firm’s website1 / 3
3 reviews · 4 ratings on file

Worked with Fast Data Science? Review them → Every reviewer is verified by RankGlobal.

Evidence · 3 sources

Sources behind this profile.

The RankGlobal Research Team opened each page and checked that it names Fast Data Science. Pages on Fast Data Science's own website are provider-supplied.

Company registers

Case studies

Methodology

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.

  1. T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
  2. T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
  3. T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
  4. T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed 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 →
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Before you reach outKey facts, and three things to confirm once you're in touch.
Primary category
Natural Language Processing
Primary industry
Financial Services & Insurance
Typical budget
$5K - $15K
Team size
2-9 employees
  1. 1Name the use caseSay which Natural Language Processing problem you are evaluating, so the research team can route your message accurately.
  2. 2Pressure-test the budget bandThe $5K - $15K band on file is a profile-level figure. Ask what a scope like yours actually lands at.
  3. 3Ask for a referenceRequest a client reference in Financial Services & Insurance — the strongest industry signal on this profile.
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