Mike Yagley, Andrew Cronk, and I co-founded TempoIQ (formerly TempoDB) to solve the really hard problems around making sense of sensor data and the measured world. Simply put, we provide a software backend for our customers to enable sensor analytics within their applications.
The reality is that collecting data from sensors is not a new idea. What is changing is the scale and the scope at which we’re trying to consume and make sense of that data.
In the medical world, we’re seeing a big transformation in the way hospitals collect and store data. In the past, patients would be connected to sensors and devices measuring all sorts of things that supplied printouts of the results. Traditionally, that’s how we tried to make sense of sensor data. But the technology wasn’t there to collectively store, access and use it in such large quantities.
To complicate matters, the cost of medical devices and sensors has been rapidly decreasing, leading to more consumer-based products like FitBit and Jawbone bringing more data into the mix and bringing up new questions. How do we collect the data from all of these devices, and how do we make sense of it?
The burgeoning sophistication of cloud computing technologies has catapulted data storage and collection to the next level. By leveraging new technologies and building proprietary software, TempoIQ is able to create infrastructure that makes sense of the data and converts it into usable information.