Industries & use cases

Overfilling, tank bottoms, purges: where does your beer go? Using a demonstration scenario, Valentin Kaulmann shows how to use existing data to break down losses by line, valve and crew, then identify concrete actions.

A steam trap stuck open cost a brewery €1,100 in a single weekend, no alarm, no visible breakdown. Indao shows how to detect this type of drift using data you already have.

As volumes decline and costs rise, breweries need better operational control. Indao shows how industrial data can help protect margins and support smarter production decisions.

Intelligent conveyor monitoring helps waste sorting centers turn fragmented machine data into earlier drift detection, reduced downtime and better maintenance decisions...