Tim Guilliams

Healx uses AI to identify and develop treatments for rare diseases, applying graph neural networks and multi-omics data analysis to repurpose existing approved drugs for new orphan disease indications. The Cambridge-based company focuses exclusively on rare diseases, where the small patient populations and limited existing literature make traditional drug discovery economically unviable without computational approaches that can extract signal from sparse data.\n\nThe company raised a $47 million Series B led by Balderton Capital and includes strategic investors from the rare disease patient advocacy community. Healx has assembled a pipeline of repurposing candidates for conditions including Fragile X syndrome, tuberous sclerosis complex, and other rare neurodevelopmental disorders, with several candidates advancing into clinical studies. The company partners with patient advocacy groups to access natural history data and patient registries that inform its disease models.\n\nHealx operates in a rare disease AI market that is less crowded than oncology-focused drug discovery AI but equally challenging due to regulatory complexity and small trial populations. The company competes with Healios, BenevolentAI, and specialist rare disease biotechs that are increasingly adopting computational methods. Its exclusive focus on rare diseases and its community partnerships represent a defensible niche that larger generalist AI drug discovery platforms have not prioritised.