Case Studies

Interpreting Land Titles in Land Registry using Natural Language Processing

A national Land Registry hired us to use NLP to interpret land title deeds, which are written in unstructured legal language.

Using NLP to predict customer escalation

As part of an AI strategy engagement, we explored the potential for NLP and machine learning for a Canadian housing regulator

Open Source Tools for Natural Language Processing

Open source software and natural language processing

Open source software is software that is made freely available to the public. It is typically developed and maintained by a community of developers who collaborate to improve the software and make it available for anyone to use, ideally with no strings attached.

Harmony (Wellcome Data Prize in Mental Health entry)

Harmony is an open source NLP-driven data harmonisation tool developed for the Wellcome Data Prize.

What does Harmony do?

• Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.
• This is called harmonisation.
• Harmonisation is a time consuming and subjective process.
• Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
• Enter Harmony, a tool that uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.

We developed Harmony using Natural Language Processing to allow researchers to conduct meta-analyses of mental health studies in collaboration with the University of Ulster, University College London, and the Universidade Federal de Santa Maria in Brazil, for the Wellcome Trust’s Data Prize in Mental Health. You can read more on the project website.

Clinical Trial Risk Tool

Machine learning in clinical trials: We developed a clinical trial risk assessment tool using Natural Language Processing for the Gates Foundation to assist experts to estimate the risk of a clinical trial ending uninformatively.

Machine Learning drag-and-drop GUI Dashboard - Office of Rail and Road

Building a machine learning GUI for the Office of Rail and Road

The Office of Rail and Road (ORR) is the British national rail regulator, responsible for health and safety on mainline rail, the London Underground, light rail, and trams.

Causal machine learning for Skills Development Scotland

Analysing employment and education outcomes using machine learning and causality models

Skills Development Scotland (SDS) is the national body in Scotland which supports people to develop and apply their skills. It is a non-departmental public body of the Scottish Government.

Boehringer Ingelheim – NLP clustering on factory error reports

How we used a Natural Language Processing clustering algorithm to assist pharmaceutical company Boehringer Ingelheim to gain insights into and discover topics in their manufacturing processes. The pharmaceutical company Boehringer Ingelheim manufactures a number of diabetes and cancer medication and animal health products. Boehringer has a large network of manufacturing facilities stretching across the globe. Drugs may be synthesised in one country, packaged in another, and shipped to a third country for distribution.

Information Commissioner's Office - ML email classification model

ICO: Email classification

The Information Commissioner’s Office (ICO) is the public body which is responsible for regulating data protection in the UK. The ICO’s mission is to “uphold information rights in the public interest, promoting openness by public bodies and data privacy for individuals”. Organisations and freelancers all over the UK must register and pay a monthly fee to the ICO if they are processing personal data.

CBT Clinics - Counsellors, Psychiatrists and Therapists Recruitment

CBT Clinics: Counsellors, Psychiatrists and Therapists Recruitment

CBT Clinics is a UK-based company offering mental healthcare practitioners. They have a roster of counsellors, psychiatrists and therapists, and wanted to expand to recruit more clinicians and also to understand the nuances of the counselling and therapy market in the UK.