Time series and sensor data presents a unique challenge because the sequence of events is as important as the events themselves.

Imagine trying to watch a movie with every frame shuffled, or reading a book with the pages in random order -- it wouldn't make any sense! Traditional big data infrastructures and machine learning techniques disregard order and therefore can not produce meaningful time series analytics.

The Lowin Data Company is building new tools for processing and analyzing time series and sensor data information. Our algorithms are inspired by the way the human brain handles temporal patterns, and produce simple representations of actions in context.