Company: Research Grid
Founder & CEO: Dr. Amber M. Hill
Website: https://rgrid.tech/
About Research Grid
The first iteration of Research Grid (R.grid) was commercialised in 2023 and has since seen traction across multiple trials and programmes with reputable names like Boehringer Ingelheim and Walgreens via partners like EmVenio, Queen Mary University College London, Barts Health and more. As a London-based health-tech company, R.grid provides an AI-native automation platform to streamline the back-office administration of clinical trials.
Dr. Amber M. Hill is the CEO and Founder of Research Grid, the company purpose-built to reduce clinical research bottlenecks by removing repetitive manual work across the clinical trial lifecycle while maintaining the transparency, auditability, and compliance required. The company’s mission is to make trials admin-free, by accelerating access to life-saving medicine through safely engineered, fully traceable and unified AI solutions that form the only end-to-end product to automate manual back-office workflows from pre-trial planning to trial close.
Research Grid has demonstrated how AI can solve one of healthcare’s largest global challenges: quality acceleration of medical research, while maintaining the safety, trust, transparency, and regulatory standards essential to clinical trials.
Reducing friction throughout the research process accelerates the development of new medicines and enables more patients to access clinical research opportunities and medical interventions worldwide. Without medical research, innovations would be unavailable. Research Grid was founded to address one of the biggest barriers in clinical research: the administrative burden that slows studies, increases costs, and limits patient access.
Research Grid’s strategy centred on applying AI only where it delivers meaningful value while ensuring every action remains safe, explainable, traceable, and compliant within regulated environments.
The AI-native platform automates workflows across the clinical research lifecycle, including patient identification, recruitment, site feasibility, scheduling, communications, data collection, and end-to-end patient and study management. Rather than introducing another disconnected tool, Research Grid built technology that is both unified and integrates with existing research systems to support research teams within their current workflows.
Since it is critical to preserve scientific and medical research to stay ahead of issues that come with AI implementation, a key challenge is safely engineering their proprietary and purpose-built AI-native models in-house to align modern AI automation with the strict governance requirements of clinical research. Research organizations require complete oversight of every action taken within a study, meaning traditional black-box AI approaches, AI wrappers, and generative models prone to hallucinations are unsuitable. To overcome this, Research Grid developed safe, transparent, and auditable AI workflows that provide full visibility into automated processes while allowing appropriate human oversight.
Research Grid set out to address problems like the lack of diverse representation and reach into underrepresented demographics, which are not new issues. Through their mission to make trials admin-free, Research Grid has safely engineered two industry-leading, fully traceable AI solutions.
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