Pulsenics and Endua have launched the first commercial deployment of AI-driven electrochemical impedance spectroscopy (EIS) for green hydrogen production. The partnership combines Pulsenics’ Pulse Probe hardware with Endua’s on-site hydrogen electrolysis stacks to provide real-time performance monitoring under highly variable solar power conditions.

The system enables early detection of degradation, predicts failures, and optimises operations to maximise uptime and efficiency. By providing detailed performance insights, it lowers operational costs, extends asset lifetimes, and helps de-risk investment decisions. This is particularly valuable for hydrogen systems operating on intermittent renewable energy, where frequent cycling can challenge reliability.

Continuous monitoring and predictive analytics also improve transparency and confidence between hydrogen producers and OEMs, supporting guarantees on uptime, lifetime, and production performance. This makes industrial-scale hydrogen projects more predictable, commercially viable, and easier to finance.

The deployment represents a major step forward in integrating AI and real-time monitoring into commercial hydrogen production, helping accelerate the adoption of green hydrogen as a reliable, cost-effective energy source.