AInotate
Project Overview
University
Year
About
AInotate transforms how health research portfolios are analysed by automating the annotation of grants, papers, patents, and clinical records using an on-device large language model. It extracts policy-relevant metadata in seconds, enabling decision-makers to track trends, evaluate impact, and inform strategy in near real time. Designed for health ministries, funding bodies, and research institutions, it replaces months of manual work with rapid, scalable insights, supporting agile policymaking, resource allocation, and evidence-based planning across the global health landscape
Team
Beining Zhang
University of Southampton
Beining Zhang is a passionate AI Researcher striving to design pro-social, human-centred AI systems that amplify human capabilities and contribute to a more equitable and empowering future. In the health research-investment study in The Lancet Oncology, she transformed the legacy data annotation system using Generative AI to accelerate the research lifecycle and enable real-time, evidence-based decision-making. As the cofounder of AInotate, Beining now envisions an AI-assisted data curation platform that democratises high-quality datasets and shortens the research and model development lifecycle, accelerating responsible AI adoption in healthcare, science, and public services worldwide.
Anbang Du
University of Southampton
Anbang Du is a researcher in AI and health policy. He has published first-author research articles in The Lancet Oncology. With influence spanning the Commonwealth Secretariat, the WHO, and health ministries around the world, Anbang’s work is shaping policy conversations globally and has been featured by 19 international media outlets. Anbang’s team is launching AInotate, a GenAI-based platform that exponentially shortens the data-to-policy loop. It accurately tags research and health data with policy-ready metadata—turning policy and R&D planning into an agile, on-the-go workflow and enabling leaders to spot trends, allocate resources, and act on evidence in near real time.
Markus Brede