Case Study: scitis.io achieves real-time, terabyte-scale industrial analytics and legacy-machine connectivity with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the scitis.io Case Study

scitis.io welding agile tech to heavy industry with Google Cloud Platform

scitis.io, born from a collaboration between SOTEC and longtime industrial manufacturer Achenbach, is a pan‑industrial platform that addresses the problem of decentralised, proprietary manufacturing data. Heavy‑industry production relies on legacy machines and PLCs spread across companies and locations, making it costly or impossible to collect live and historical data, compare performance across sites, and optimise processes without replacing expensive hardware.

scitis.io uses SOTEC’s CloudPlug to stream PLC data into Google Cloud Platform, with Google BigQuery for terabyte‑scale, real‑time analytics, Google App Engine for autoscaling deployment, and Tableau on Compute Engine for visualization. The solution was delivered rapidly, supports trial and global rollouts without PLC replacement, gives Achenbach and other customers live and historical insights across hundreds of mills, lowers upfront costs, improves production and maintenance decisions, and enables future IoT and ML enhancements with strong cloud security.


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scitis.io

Florian Holz

Co-founder


Google Cloud Platform

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