AI helpers for patient intake and benefits checks
Healthcare providers waste time and face billing friction due to manual patient intake and insurance eligibility/benefits verification.
An AI-powered system that automates patient intake plus insurance eligibility and benefits checks for US healthcare providers.
US healthcare providers such as medical groups and clinics that handle patient intake and billing.
Sho is a repeat founder. He co-founded and scaled a fintech startup to multi-million $ ARR within twelve months from launch and eventual profitability. Before that, he worked on data analytics projects at McKinsey for some of the largest healthcare systems in the world, including the NHS and several of the top ten private healthcare insurers. He studied at Cambridge and the Karolinska Institutet. He is originally from Japan.
Oscar has built large-scale payments and credit data analytics models that outperformed incumbents like Experian by a significant margin. These models helped power the first startup he co-founded and scaled to a multi-million $ run rate. Before tech, Oscar was a post-doc researcher and completed an MEng and PhD in Machine Learning and Computational Physics at Cambridge. He’s worked in research divisions for companies like McLaren F1 and Dyson, applying machine learning to complex data problems.




