Let me paint the picture. It was 2015. Elizabeth Holmes was everywhere. Blood testing was all the rage. But we actually started just a bit before that blew up. My background isn't clinical. I was personally super interested in health. Back then, quantified health was the term everyone used. If you were tracking all this stuff and measuring ketones, it was a bit weird. The origin of why we started Thriva was one of my co-founders had a condition where he was testing every three months to monitor it, and the experience was really poor.
He had to take half a day off work, sit in a waiting room, and get a big needle in his arm. None of that is pleasant or fun, but you get on with it. The worst part was he didn't get his data. He'd hear, "No news is good news," but that's disempowering. No one cares more about your health than you. We wanted to change that. Remote diagnostics and blood testing were a thing, but blood testing is a blunt tool.
We wanted to prove we weren't crazy. No labs were doing this at the time. We worked with a well-known lab in London. We weren't trying to be a lab or develop testing hardware. We wanted to build a digital layer and user experience on top of accredited, tried, and true stuff. That's how we started proving we weren't crazy and that people would bleed into a tube at home, send it through the post, and get results to take action on.
Today, we focus on improving the amount of time people spend in good health, focusing on health span, not lifespan. We do this in three ways: data, insights, and support. You can't improve what you don't measure. We allow people to get the most accurate, reliable clinical-grade data about themselves regularly. We bring in other data sources, like wearable data, working with Terra API recently. Data is just data; you have to understand it and make it useful.
We provide personalized GP reports and use data tooling to help benchmark against people like you. Lastly, we support people in making changes that positively impact their health over time. We focus on feedback loops: get data, understand it, know what to do, take action, and see what happens. It's crazy how we know more about our cars than our bodies. We want to help people get data more regularly, understand it, and do something about it.