Case Study: a biotechnology company improves uptime and asset reliability with C3 AI Reliability

biotechnology company boosts centrifuge uptime with C3.ai, cutting alerts 80%

The customer, a biotechnology company, faced significant challenges with unplanned centrifuge failures that halted production and caused revenue loss. Their existing rules-based monitoring system generated a high volume of false alerts and provided minimal lead time for preventative action. To address this, they partnered with vendor C3.ai to implement the C3 AI Reliability application for an AI-driven approach to predictive maintenance.

C3.ai configured its application to unify data from six disparate sources and applied advanced machine learning, testing over 500 model configurations. The solution implemented by C3.ai dramatically improved performance, reducing false alerts by 80%, increasing the prediction of failures from 13% to 93%, and extending actionable lead time from 45 minutes to over two days. This resulted in a potential annual impact of $60 million for the biotechnology company.

Biotechnology Company