Pythian helps Semios scale data analytics through Google Cloud Migration

Semios provides a real-time platform that uses networked sensors to track and optimize responses to plant health, pests, and possible crop disease. It is a valuable tool for product growers in the fight to improve crop yields. 

Semios’ original, on-premise data center wasn’t very flexible, however, and as new clients and more data were brought on board, it struggled to scale up. The company needed a robust cloud solution that could scale easily, with more reliable sensor data capture and data integration tools to seamlessly and quickly combine sensor data with several of their vital data points such as satellite imagery and geospatial datasets. It also needed machine learning tools to help predict when problems might arise. And it all had to be delivered, in real-time, to mobile devices so farmers could identify and act on issues in the field, as they happened. 

Semios turned to Pythian to help with the migration to Google Cloud.