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Fast Data Science

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uuid000hfi6

Namestring
Fast Data Science
Legal namestring
Fast Data Science Ltd
Company typeenum
Private
Founded yearint
2016
Descriptiontext

Fast Data Science Ltd is a London-based, founder-operated NLP and data science consultancy founded in 2016 by Thomas Wood (Cambridge Masters in NLP, 2008). The firm's core activity is bespoke data science consulting — fixed-fee and daily-rate engagements covering predictive modelling, NLP model development, AI strategy, technical due diligence, and document analysis — delivered primarily by the director personally with per-project expert support. Clients span healthcare (NHS, WHO, CBT Clinics), pharmaceuticals (Boehringer Ingelheim, Wellcome Trust, MediSpend), legal (courts via expert witness work, Insolvency Bot users), retail (Tesco, CV-Library, Mango Languages), government/regulators (ICO, Ordnance Survey, Office of Rail and Road, Tarion) and academic/non-profit partners (Ulster University, UCL, White Ribbon Alliance).

The technology stack is Python-centric, built on scikit-learn, TensorFlow, spaCy, NLTK, and Plotly Dash, with deployments on Microsoft Azure (the firm is a Microsoft Partner), AWS, GCP, or on-premises depending on client requirements. Generative AI workloads primarily use OpenAI and Gemini APIs alongside in-house fine-tuned models. Notable proprietary assets include the Clinical Trial Risk Tool (a self-serve SaaS that scores clinical-trial protocol PDFs on 50+ risk/cost variables), Harmony (an AI data-harmonisation platform funded by the Wellcome Trust and co-developed with Ulster University, UCL and Universidade Federal de Santa Maria), the open-source drug_named_entity_recognition Python library, the RAG-based Insolvency Bot, an NLP Dashboard, forensic stylometry tooling, and Google Sheets plugins for drug-name and UK company recognition.

Commercially, the firm runs a hybrid sales-led and product-led model. Direct enterprise and government sales are generated via website contact form and phone, supplemented by public-sector procurement (RFP, UK Digital Marketplace, Wellcome/Gates/UKRI grants). Product-led growth runs through self-serve web demos (Harmony, Clinical Trial Risk Tool, NLP Dashboard, Insolvency Bot, Author Identification) and open-source GitHub distribution. Pricing is quote-based, biased toward fixed-fee project contracts with retainer and discounted academic/non-profit tiers as alternatives. Revenue is undisclosed; the firm is bootstrapped, privately held, and shows no external funding rounds in the source material.

Short descriptiontext

Fast Data Science is a London-based NLP and data science consultancy that builds bespoke AI solutions — predictive models, document NLP, and domain tools — for healthcare, pharmaceutical, legal, retail, and public-sector clients, supplemented by a SaaS product (Clinical Trial Risk Tool), the Harmony research platform, and open-source libraries.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
natural language processing, machine learning consulting, AI strategy consulting, data science services, clinical trial analytics
Industry4 codes
1Data, Analytics & AI Consulting
CodeBPAHAEAFPrimaryYes
2Advanced Analytics & Data Science Services
CodeBPAEAHAEPrimaryNo
3Clinical Trial Informatics (EDC/CTMS/eCOA/eTMF)
CodeHLAGAJAMPrimaryNo
4Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D)
CodeHLAGAJAFPrimaryNo
NAICS code3 codes
  • Other Scientific and Technical Consulting Services54169
  • Other Scientific and Technical Consulting Services541690
  • Software Publishers5132
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Processing & Data Preparation7374
Product category
AI and Data Science Consulting
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1Professional Data Science Consulting
TypeProfessional Services
Description

The primary revenue stream. Clients hire Fast Data Science for bespoke NLP, AI, and data science consulting projects. Engagement types include predictive modelling, document analysis, NLP model development, AI strategy, and technical due diligence. Pricing is typically fixed-fee for the entire job, with daily rate options for ongoing retainer engagements. Serves commercial, non-profit, public sector, and academic clients worldwide.

fastdatascience.com
2SaaS / Software Product (Clinical Trial Risk Tool)
TypeSubscription Recurring
Description

The company offers the Clinical Trial Risk Tool as a software-as-a-service product. While primarily consulting-driven, the tool represents a productised SaaS component generating recurring software value.

fastdatascience.com
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Operations, Others
Pricing details4 tiers
1Proof of Concept - minimum fixed-fee engagement
ModelOne time/ perpetual licenseBilling cadenceMulti-year contract
Notes

The lowest-priced engagement is a proof of concept, subject to a minimum charge. A full-scale deployed production system would have a higher fee.

fastdatascience.com
2Fixed-fee consulting engagement
ModelOne time/ perpetual licenseBilling cadenceMulti-year contract
Notes

Fixed cost for the entire job. The company defines project outcomes and milestones and agrees on a fixed price upfront. This incentivises efficient delivery. Preferred model for most clients. Can also lead to long-term retainer agreements.

fastdatascience.com
3Daily rate / retainer
ModelSubscriptionBilling cadenceMonthly
Notes

Daily rate option available, though in practice clients have only wanted this after initial work and moving to a retainer engagement. Long-term retainer agreements are mentioned as common.

fastdatascience.com
4Academic and non-profit discounted rate
ModelHybridBilling cadenceAnnual
Notes

Non-profit and academic clients can access discounted commercial rates. The company also appreciates opportunities to publish in academic journals alongside commercial work.

fastdatascience.com
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 of 6 records shown
1Clinical Trial Risk Tool
Description

A SaaS product that analyses clinical trials to produce a risk score and estimated cost of running a clinical trial

fastdatascience.com
+5 more records
Core offering1 text field

Fast Data Science is a London-based NLP and data science consultancy that delivers bespoke AI, machine learning, and natural language processing consulting for healthcare, pharmaceutical, legal, retail, and public-sector clients. Alongside consulting, the company operates a portfolio of standalone AI tools including the Clinical Trial Risk Tool SaaS, Harmony data harmonisation platform, and the Insolvency Bot legal chatbot, plus open-source Python libraries for drug name recognition.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 3% increase in accuracy of customer basket weight predictions for Tesco across 15 million customer and address combinations
+2 more records
Product overview1 text field

Fast Data Science is a specialist NLP and data science consultancy with a portfolio of AI-powered tools and consulting services. The core products include the Clinical Trial Risk Tool (SaaS for analyzing clinical trial protocols), Harmony (data harmonization platform for researchers), and the Insolvency Bot (legal Q&A chatbot). Supporting tools include NLP Dashboard for survey analysis, Drug Names Plugin and UK Company Details Plugin (Google Sheets integrations), Company Name Recognition, and Forensic Stylometry/Author Identification. The company primarily offers professional consulting services alongside these software products, all focused on extracting value from unstructured text data using NLP and machine learning.

Product and service2 records
1Clinical Trial Risk Tool
CategorySaaS / AI Software
Description

A SaaS web application (clinicaltrialrisk.org) that analyses PDFs of clinical trial protocols and outputs a risk score, estimated cost, and 50+ complexity metrics to identify risk factors that could render a trial uninformative. Aimed at pharmaceutical sponsors and clinical research organisations.

2Harmony
Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2022-11-07
Description

Ulster University is a core academic partner in the Harmony project, a global platform for mental health questionnaire harmonisation. The collaboration involves the Centre for Longitudinal Studies at UCL and Universidade Federal de Santa Maria in Brazil. Thomas Wood of Fast Data Science developed the AI backend for Harmony. The partnership is ongoing and co-development is evidenced by joint publications in BMC Psychiatry and peer-reviewed preprints.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2022-11-07
Description

UCL's Centre for Longitudinal Studies is a core academic partner in the Harmony project alongside Ulster University, Universidade Federal de Santa Maria, and Fast Data Science. Joint publications on mental health questionnaire harmonisation using NLP have been produced, including work published in BMC Psychiatry 2024.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2022-11-07
Description

Universidade Federal de Santa Maria in Brazil is a core academic partner in the Harmony project for mental health questionnaire harmonisation. Contributed to international collaboration on multilingual NLP for psychology research.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Wellcome Trust funded the Harmony project (Wellcome Data Prize), enabling the development of the Harmony NLP tool for mental health questionnaire harmonisation. The partnership has produced multiple joint academic publications and a publicly accessible web tool.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Market position
Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers16 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile6 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Fast Data Science

AI and Data Science Consultingfastdatascience.com

Fast Data Science is a London-based NLP and data science consultancy that builds bespoke AI solutions — predictive models, document NLP, and domain tools — for healthcare, pharmaceutical, legal, retail, and public-sector clients, supplemented by a SaaS product (Clinical Trial Risk Tool), the Harmony research platform, and open-source libraries.

What Fast Data Science does

Fast Data Science Ltd is a London-based, founder-operated NLP and data science consultancy founded in 2016 by Thomas Wood (Cambridge Masters in NLP, 2008). The firm's core activity is bespoke data science consulting — fixed-fee and daily-rate engagements covering predictive modelling, NLP model development, AI strategy, technical due diligence, and document analysis — delivered primarily by the director personally with per-project expert support. Clients span healthcare (NHS, WHO, CBT Clinics), pharmaceuticals (Boehringer Ingelheim, Wellcome Trust, MediSpend), legal (courts via expert witness work, Insolvency Bot users), retail (Tesco, CV-Library, Mango Languages), government/regulators (ICO, Ordnance Survey, Office of Rail and Road, Tarion) and academic/non-profit partners (Ulster University, UCL, White Ribbon Alliance).

The technology stack is Python-centric, built on scikit-learn, TensorFlow, spaCy, NLTK, and Plotly Dash, with deployments on Microsoft Azure (the firm is a Microsoft Partner), AWS, GCP, or on-premises depending on client requirements. Generative AI workloads primarily use OpenAI and Gemini APIs alongside in-house fine-tuned models. Notable proprietary assets include the Clinical Trial Risk Tool (a self-serve SaaS that scores clinical-trial protocol PDFs on 50+ risk/cost variables), Harmony (an AI data-harmonisation platform funded by the Wellcome Trust and co-developed with Ulster University, UCL and Universidade Federal de Santa Maria), the open-source drug_named_entity_recognition Python library, the RAG-based Insolvency Bot, an NLP Dashboard, forensic stylometry tooling, and Google Sheets plugins for drug-name and UK company recognition.

Commercially, the firm runs a hybrid sales-led and product-led model. Direct enterprise and government sales are generated via website contact form and phone, supplemented by public-sector procurement (RFP, UK Digital Marketplace, Wellcome/Gates/UKRI grants). Product-led growth runs through self-serve web demos (Harmony, Clinical Trial Risk Tool, NLP Dashboard, Insolvency Bot, Author Identification) and open-source GitHub distribution. Pricing is quote-based, biased toward fixed-fee project contracts with retainer and discounted academic/non-profit tiers as alternatives. Revenue is undisclosed; the firm is bootstrapped, privately held, and shows no external funding rounds in the source material.

Fast Data Science firmographics

Firmographics
Name
Fast Data Science
Legal name
Fast Data Science Ltd
Website
https://fastdatascience.com
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
1–10 employees
Short description
Fast Data Science is a London-based NLP and data science consultancy that builds bespoke AI solutions — predictive models, document NLP, and domain tools — for healthcare, pharmaceutical, legal, retail, and public-sector clients, supplemented by a SaaS product (Clinical Trial Risk Tool), the Harmony research platform, and open-source libraries.
Ownership category
akta.pro rank

Fast Data Science industry classification

Industry
Product category
AI and Data Science Consulting
NAICS
Other Scientific and Technical Consulting Services (54169), Other Scientific and Technical Consulting Services (541690), Software Publishers (5132)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry
Data, Analytics & AI Consulting (BPAHAEAF)
akta.pro secondary industries
Advanced Analytics & Data Science Services (BPAEAHAE), Clinical Trial Informatics (EDC/CTMS/eCOA/eTMF) (HLAGAJAM), Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D) (HLAGAJAF)

Keywords

  • Natural language processing
  • Machine learning consulting
  • AI strategy consulting
  • Data science services
  • Clinical trial analytics

Where Fast Data Science is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices1 record

Markets served

Fast Data Science business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations, Others

Revenue model

  1. Professional Data Science Consulting: The primary revenue stream. Clients hire Fast Data Science for bespoke NLP, AI, and data science consulting projects. Engagement types include predictive modelling, document analysis, NLP model development, AI strategy, and technical due diligence. Pricing is typically fixed-fee for the entire job, with daily rate options for ongoing retainer engagements. Serves commercial, non-profit, public sector, and academic clients worldwide.
  2. SaaS / Software Product (Clinical Trial Risk Tool): The company offers the Clinical Trial Risk Tool as a software-as-a-service product. While primarily consulting-driven, the tool represents a productised SaaS component generating recurring software value.

Pricing tiers

ModelBillingPrice
One time/ perpetual licenseMulti-year contractProof of Concept - minimum fixed-fee engagement
One time/ perpetual licenseMulti-year contractFixed-fee consulting engagement
SubscriptionMonthlyDaily rate / retainer
HybridAnnualAcademic and non-profit discounted rate

Go-to-market motion2 records

Distribution channels4 records

Marketing channels8 records

Fast Data Science product offering

Product offering

Core offering

Fast Data Science is a London-based NLP and data science consultancy that delivers bespoke AI, machine learning, and natural language processing consulting for healthcare, pharmaceutical, legal, retail, and public-sector clients. Alongside consulting, the company operates a portfolio of standalone AI tools including the Clinical Trial Risk Tool SaaS, Harmony data harmonisation platform, and the Insolvency Bot legal chatbot, plus open-source Python libraries for drug name recognition.

Product overview

Fast Data Science is a specialist NLP and data science consultancy with a portfolio of AI-powered tools and consulting services. The core products include the Clinical Trial Risk Tool (SaaS for analyzing clinical trial protocols), Harmony (data harmonization platform for researchers), and the Insolvency Bot (legal Q&A chatbot). Supporting tools include NLP Dashboard for survey analysis, Drug Names Plugin and UK Company Details Plugin (Google Sheets integrations), Company Name Recognition, and Forensic Stylometry/Author Identification. The company primarily offers professional consulting services alongside these software products, all focused on extracting value from unstructured text data using NLP and machine learning.

Differentiator

Problem solved

Functional benefit

Brands

  • Clinical Trial Risk Tool: A SaaS product that analyses clinical trials to produce a risk score and estimated cost of running a clinical trial
  • Harmony
  • Drug Names Plugin
  • UK Company Details Plugin
  • NLP Dashboard
  • Insolvency Bot

Products and services

  • Clinical Trial Risk Tool A SaaS web application (clinicaltrialrisk.org) that analyses PDFs of clinical trial protocols and outputs a risk score, estimated cost, and 50+ complexity metrics to identify risk factors that could render a trial uninformative. Aimed at pharmaceutical sponsors and clinical research organisations.
  • Harmony

Quantifiable outcome

  • 3% increase in accuracy of customer basket weight predictions for Tesco across 15 million customer and address combinations
  • +2 more outcomes

Companies that use Fast Data Science

Customer profile

Named customers16 records

Segments7 records

Ideal customer profiles6 records

Fast Data Science technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature9 records

Fast Data Science partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core.

  • Ulster UniversitycoreStrategic or Co-development Partner · 7 November 2022Ulster University is a core academic partner in the Harmony project, a global platform for mental health questionnaire harmonisation. The collaboration involves the Centre for Longitudinal Studies at UCL and Universidade Federal de Santa Maria in Brazil. Thomas Wood of Fast Data Science developed the AI backend for Harmony. The partnership is ongoing and co-development is evidenced by joint publications in BMC Psychiatry and peer-reviewed preprints.
  • University College London (UCL)coreStrategic or Co-development Partner · 7 November 2022UCL's Centre for Longitudinal Studies is a core academic partner in the Harmony project alongside Ulster University, Universidade Federal de Santa Maria, and Fast Data Science. Joint publications on mental health questionnaire harmonisation using NLP have been produced, including work published in BMC Psychiatry 2024.
  • Universidade Federal de Santa MariacoreStrategic or Co-development Partner · 7 November 2022Universidade Federal de Santa Maria in Brazil is a core academic partner in the Harmony project for mental health questionnaire harmonisation. Contributed to international collaboration on multilingual NLP for psychology research.
  • Wellcome TrustcoreStrategic or Co-development PartnerWellcome Trust funded the Harmony project (Wellcome Data Prize), enabling the development of the Harmony NLP tool for mental health questionnaire harmonisation. The partnership has produced multiple joint academic publications and a publicly accessible web tool.

Scale indicators3 records

Recent moves5 records

Expansion highlights5 records

Fast Data Science competitors and assessment

Company assessment

Market position

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

Fast Data Science social profiles

Digital presence

Fast Data Science compliance and trust

Trust signal

Compliance1 record

Fast Data Science financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Fast Data Science leadership team

Management profile

Number of profiles

Profiles1 record

Fast Data Science funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Fast Data Science M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Fast Data Science

What does Fast Data Science do?

Fast Data Science is a London-based NLP and data science consultancy that delivers bespoke AI, machine learning, and natural language processing consulting for healthcare, pharmaceutical, legal, retail, and public-sector clients. Alongside consulting, the company operates a portfolio of standalone AI tools including the Clinical Trial Risk Tool SaaS, Harmony data harmonisation platform, and the Insolvency Bot legal chatbot, plus open-source Python libraries for drug name recognition.

Is Fast Data Science a public or private company?

Fast Data Science is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Fast Data Science founded?

Fast Data Science was founded in 2016. It employs 1 to 10 people.

Where is Fast Data Science based?

Fast Data Science is headquartered in London, United Kingdom, in the Europe region.

How does Fast Data Science make money?

Two revenue lines are on record. Professional Data Science Consulting is the primary driver. The others are saaS / Software Product (Clinical Trial Risk Tool).

Does Fast Data Science have an API?

No public API is recorded for Fast Data Science.

What industry is Fast Data Science in?

Fast Data Science's product category is AI and Data Science Consulting. Its primary akta.pro industry code is BPAHAEAF, Data, Analytics & AI Consulting, with a secondary code of BPAEAHAE, Advanced Analytics & Data Science Services. Its NAICS code is 54169 and its SIC code is 7370.

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Live signals
FastdatascienceHow to train your own AI: Fine tune an LLM for mental health dataThe Harmony project, a collaboration between Ulster University, University College London, Universidade Federal de Santa Maria, and Fast Data Science, has launched a competition on DOXA AI's platform challenging participants to fine-tune a large language model for mental health data, with prizes of £500 and £250 for the most accurate submissions. The goal is to improve Harmony's ability to match psychology questionnaire items and variables across datasets by reducing false positives and false negatives that occur with general-purpose LLMs. Participants can train a model in under 30 minutes using Google Colab, with the winning model potentially being published on HuggingFace to increase the count of psychology-specific LLMs from 27 to 28.FastdatascienceExplainable AI for BusinessesFast Data Science published a comprehensive guide on Explainable AI (XAI) for businesses, covering its strategic importance as the global XAI market grows from USD 7.79 billion in 2024 to a projected USD 21.06 billion by 2030. The article presents case studies from BBVA, JPMorgan Chase, Goldman Sachs, and Amazon implementing XAI for credit scoring, fraud detection, trading, and recruitment respectively, alongside regulatory pressures from the EU AI Act imposing penalties up to 7% of global turnover. Industry surveys from McKinsey, PwC, and Deloitte highlight that 78% of organisations now use AI, with 85% of consumers preferring transparent AI brands and 92% planning increased AI investments.FastdatascienceAI and machine learning due diligence (+ checklist download)Fast Data Science promotes its specialized technical due diligence services for AI and machine learning companies to assist investors in evaluating technological integrity. The article outlines key assessment areas including algorithmic robustness, data sourcing ethics, team capabilities, and regulatory compliance with standards like GDPR. It highlights the firm's experience since 2016 in helping private equity firms and venture capital clients mitigate investment risks.FastdatascienceBusiness uses of natural language processing - the 2024 capabilities of NLPA promotional article from Fast Data Science, dated March 13, 2024, outlines business applications of natural language processing, including supply chain forecasting, risk prediction, administrative automation, compliance monitoring, customer service chatbots, HR analytics, market research harmonisation, legal document analysis, social media monitoring and sentiment analysis. It cites client projects such as Boehringer Ingelheim, Tarion, CV-Library and the National Health Service, and advertises custom NLP consulting services.