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.
Model reasoning
General purpose LLMs excel at solving math exams but struggle with complicated real-world healthcare reasoning. Learning to reason from complex healthcare histories, recent medical research, and laboratory results requires 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 and are learned from human guidance. General purpose LLM policies are defined by non-healthcare-trained individuals, but optimizing policies through feedback from healthcare professionals enables learning protocol from the best in class.
Alignment & interoperability
AI systems are inherently bad at knowing when they don't know. Building interpretability into AI allows healthcare professionals to understand the reasoning process and locate the source of its output, while alignment AI models interpret the output of other AI models at scale, flagging inconsistencies before they harm.
Join our research team
We are always looking for brilliant minds dedicated to innovating in healthcare.