Starting with heart failure, we’re building models that help clinicians make data-driven decisions, optimize care, and improve patient outcomes.
Talk to usExisting risk assessment tools lack the accuracy and recall needed for clinically relevant decision-making. This can lead to delayed interventions, suboptimal treatment plans, and poorer patient outcomes. Clinicians need a more reliable way to assess risk and act with confidence.
We're building tools applying state-of-the-art machine learning to improve healthcare outcomes and assist clinicians in making data-driven decisions.