Pulsenic’s AI-driven electrochemical impedance spectroscopy (EIS) hardware was used to monitor the health and performance of the electrolyser stacks.

The partners said it represents the “first” real-world commercial use of AI diagnostic technology for green hydrogen production.

“This breakthrough helps hydrogen producers lower costs, extend asset lifetimes and build confidence in hydrogen as a reliable energy source,” the Toronto-based technology firm said in a statement.

The statement added that because OEMs like Endua often guarantee uptime, lifetime, and production output, access to advanced AI-driven performance data helps reduce risk, validate performance, and strengthen customer confidence.

“Industrial hydrogen users want to create their own supply on-site, and they need guarantees on performance and uptime,” explained Endua CEO Paul Sernia.

“AI analytics from Pulsenics helps us to offer the latest high-performance technology and deliver on these promises to our customers.”

Following the Australian deployment, the two companies plan to expand AI-powered monitoring to larger electrolyser systems and international projects.