We are seeing an exponential rise in the number of real-world sensors, producing ever more data. Combining multiple sources provides a far richer view than that of any single data source. To harness this power and enable global-scale computation, it’s necessary to have a data refinery that combines data from diverse sources, cleans it up and makes it ready for modeling – and a platform to upon which to build living, learning models. That’s exactly what we’ve built at Descartes Labs.

Flow Science, Inc. is a developer of software for computational fluid dynamics, also known as CFD, a branch of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows.