Science and research
Amplifi is partnered with leading academics and institutions.
Empirical date underpinning our proprietary AI models
Everything we build is based on a strong foundation of academic research
Our partnerships with leading academics and institutions has led us to develop research programmes on;
- AI and Machine Learning techniques to improve comprehension, identify vulnerability, and calculate risk;
- tracking consumer behaviour and comprehension when reading legal and regulated information;
- optimising the digital experience when reading legal and regulated information;
- linguistics modelling to improve the written word;
- utilising Web 3 and tokenisation to create smart legal contracts and digital wallets, and
- behavioral science and design principles to present legal information in a clear, dynamic, and layered format.
Who we work with
Current Research Projects

Financial Inclusion
Enhancing the readability and comprehensibility of mandatory disclosures for consumers of financial services products.

Re-imagining legal notices
Creating novel dynamic digital user journeys for legal and regulated communications.

AI & Machine Learning
Developing novel algorithms (intelligibility, risk, comprehension, etc) for the Amplifi Cognitive Risk Engines™.

User Experience Design
Assessing user behaviour to inform product design that provides meaningful and relevant experiences to users.
Regulated Sandbox
Testing how simplified terms and regulated notices from lenders can improve comprehension and, in turn, consumer outcomes.

Linguistics
Understanding how meaning is made and understood by different segments of the population.
Document intelligibility
Testing how AI-based technology can simplify and improve the accessibility of documents within the legal sector for consumers.
Stress and Confusion in Credit Contracts
Research on AI to decode credit contract confusion and deliver smarter, consumer-friendly financial solutions.
Testing the Intelligibility of Credit Information (Amplifi AI Tool)
Analysing user interactions and comprehension on novel layering of legal information.

Dark patterns
Are designed legal contracts and kitemarks misleading, and are they fair and transparent for consumers?
