Research
Pioneering Research, Shaping Regulation and Technology
Amplifi is built on pioneering, evidence-led research developed in close collaboration with academic institutions, regulators, and industry partners.
Dr Alastair Moore
Deepflow, UCL
Prof. Maggie Chen
Cardiff University
Prof Richard Hyde
University of Nottingham
Prof David Adgar
Queen Mary University
Prof Nick Hine
University of Nottingham
Prof Linnaea Stockall
Queen Mary University
Nikhil Vadgama
Associate Prof, UCL
Carsten Sorensen
London School of Economics
Niall Roche
Snr. Fellow, UCL
Dr Alastair Moore
Deepflow, UCL
Prof. Maggie Chen
Cardiff University
Prof Richard Hyde
Nottingham University
Prof David Adgar
Queen Mary University
Prof Nick Hine
University of Nottingham
Prof Linnaea Stockall
Queen Mary University
Nikhil Vadgama
Associate Prof, UCL
Carsten Sorensen
London School of Economics
Niall Roche
Snr. Fellow, UCL
Why is Research Important?
Our work does not simply respond to regulation - it helps shape current and future regulatory expectations, while underpinning the novel AI-driven technology we are building.
Through interdisciplinary research spanning AI and machine learning, human behaviour, linguistics, design, law, and regulation, we are advancing new ways to make complex information genuinely intelligible.
This research foundation ensures Amplifi’s tools are not only innovative, but regulator-ready, explainable, and grounded in real-world consumer understanding.
Academic & Regulatory Collaboration
Amplifi works closely with universities, regulators, and interdisciplinary experts to ensure our research remains independent, credible, and impactful. These partnerships enable us to test new ideas, validate methodologies, and contribute to the wider evidence base that informs regulatory standards and expectations. To date, we have completed several research programmes with established institutions.
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Our Academic and Regulatory Partners
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Research-Lead, Regulator-Ready AI
Our AI and machine-learning models are underpinned by rigorous research in explainability, governance, and transparency.
Our AI Design Principles
Every model is designed to be interpretable, auditable, and aligned with regulatory principles — enabling firms, regulators, and consumers to understand not just what a decision is, but why it is made.
Our AI Research Outcomes
By embedding regulatory insight and academic research directly into our technology, Amplifi bridges the gap between cutting-edge AI innovation and the high standards required in regulated environments.
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