Math meets medicine
We believe our research can help bring affordable world-class medical expertise to every patient around the world.
Under the microscope
Hear how we approach AI as augmentation - not a replacement - and why transparency, safety, and trust are core to everything we build.
Core research
Model reasoning
General purpose LLMs are powerful at solving math exams but fail when they are tasked with complicated real-world healthcare reasoning.
Learning to reason from a complex healthcare history, the most recent medical research, and laboratory results takes a specialized reasoning agent with embedded knowledge of millions of related healthcare cases.
Policy optimization
Policies define the protocol followed by a machine learning model. Policies are learned from human guidance and general purpose LLM policies are defined by non-healthcare-trained individuals.
Optimizing policies through feedback from healthcare professionals enable learning the protocol from the best in class.
Alignment and interoperability
AI systems are inherently bad at knowing when they don’t know. Building interpretability into the AI allows healthcare professionals to understand the reasoning process and locate the source of its output.
Alignment AI models are tasked with interpreting the output of other AI models at scale, flagging inconsistencies before they harm.
Latest publications
Join our research team
We are always looking for brilliant minds dedicated to innovating in healthcare, as well as impact research collaborations. Get in touch if you want to work together.