Company
For decades healthcare analytics has been a black-box. Tuva exists to make it transparent, reusable, and built by all.
Healthcare analytics infrastructure should be built once, in the open, by the people who understand the data.
As an industry, we should stop reinventing the wheel by rebuilding the same healthcare analytics infrastructure over and over from scratch.
The code that transforms healthcare data should be completely transparent and reviewable by anyone. That is the only way we get to the right answer.
Over time, as we standardize how we transform data, we all start measuring healthcare in the same way. That creates a learning healthcare system.
Transformation logic should be visible, inspectable, and open to challenge.
Common definitions let teams compare results instead of debating black-box logic.
When everyone measures the same way, the industry can learn faster from what works.
CEO and Co-Founder
CTO and Co-Founder
Aaron and Coco have each spent more than 15 years in healthcare analytics. By the time they started Tuva, both had rebuilt essentially the same analytics platform multiple times: ingest raw healthcare data, standardize it, transform it, validate it, and turn it into something teams could actually use.
They met in Salt Lake City in 2015 after moving there around the same time and joining the same local squash club. They quickly realized they were both working in healthcare data science. Aaron eventually convinced Coco to join him at Health Catalyst, where they discovered they liked solving hard data problems together.
Coco later went on to lead data science at other companies, most recently Strive Health. Aaron and Coco stayed close and kept playing squash regularly. In 2020, those conversations kept returning to the same frustration: their teams were spending too much time rebuilding the infrastructure required to turn healthcare data into analytics-ready data.
They realized this was not just their problem. Nearly every healthcare data team was rebuilding the same foundation in isolation. Tuva was started to solve that problem for the entire industry.
Aaron and Coco are massive Richard Feynman fans. Feynman embodied the kind of intellectual honesty, curiosity, and rigor that the Tuva team tries to bring to healthcare analytics every day.
Tuva is an allegory for Feynman. For more than a decade before his death, Feynman and his friend Ralph Leighton tried to travel to Tuva, then a region of the Soviet Union. What started as a joke became a mission, and getting a visa to Soviet Russia during the Cold War was nearly impossible. Feynman died a few weeks before the visas arrived, but Ralph made the trip and chronicled the adventure in Tuva or Bust.
Ralph also helped write several books about Feynman that the Tuva team highly recommends. For readers new to Feynman, a strong starting point is Surely You're Joking, Mr. Feynman. The Tuva Project is our attempt to fix healthcare data: Tuva or Bust.