Optimizing
Machine
Efficiences.

As science and engineering principles evolve, so does the pharmaceutical industry. The industry is expected to reach global revenues of over $2 trillion by 2030. With rapid economic growth in developing countries, the worldwide spending on medicine is projected to continuously increase. In addition, the increasing use of generic drugs worldwide, has led active pharmaceutical ingredients manufacturing to form the largest share of the pharmaceutical market.

Today, the pharmaceutical industry is increasingly adopting Industry 4.0 solutions to ensure production quality and improve manufacturing efficiency. Smart manufacturing technologies are increasingly deployed to connect human and machine learning efforts – to optimize throughput without compromising quality standards.

AegisOne™ offers production and packaging teams a predictive maintenance solution based on an AI-powered process, enabling pharmaceutical manufacturers to predict and prevent production stoppages and efficiency losses. By utilizing process condition-based monitoring, automated root cause analysis and predictive analytics, manufacturing teams can reduce machine failures and improve efficiencies and packaging throughput.