Health data intelligence for the human condition

We have more data than ever, exponentially so. The quantity of health data generated globally has experienced exponential growth, driven by the transition from paper to electronic health records, medical imaging, and wearable devices. It is estimated that the healthcare industry generates roughly 30% of the world's data volume.

But legacy systems still haven't caught up. The average person spends less than ten minutes a year with their primary care physician. Health data is at an inflection point, and this necessitates an order-of-magnitude change to the status quo.

We built Amatra to develop health data intelligence that meaningfully changes the way we manage the human condition. Not dashboards, not a data lake, not another wearable: infrastructure that ingests every available signal, reasons over it in context, and surfaces the decisions that matter to the people making them.

Elite sport is a powerful microcosm for the larger healthcare industry: data is fragmented across dozens of systems, high-stakes, and time-sensitive. The constraints are unforgiving, the feedback loop is weekly, and the people on staff actually want to use the tools. It is the most demanding sandbox we could pick.

Billions in wages are lost each year to preventable injuries, and teams with better availability data consistently win more. Yet the people making critical decisions still work with incomplete information. We are building the infrastructure that changes that.

We've watched technology from the fringes of human performance repeatedly filter into the mainstream. Wearables like Whoop started with athletes. GLP-1 drugs and peptides started with biohackers and bodybuilders. The pattern is reliable: novel health technology is tested on populations with the incentive and permission to push, and then it diffuses.

We're a small, ambitious team building AI systems that fundamentally change how health data is understood and acted upon. See open roles or get in touch.