The Pulsenics Reliability Program
Designed to streamline and simplify complex procedures, the Pulse Probe empowers researchers and manufacturers to achieve unparalleled accuracy and efficiency in their analyses.
The Reliability Program is an integrated system of technologies, methods, and data continuity designed to maximize electrolyser reliability.
Utilizing industrial Electrochemical Impedance Spectroscopy (EIS), advanced analytics, and continuous data feedback across deployed stacks, Pulsenics consolidates that data which is used to optimize every aspect of your deployment
Utilizing industrial Electrochemical Impedance Spectroscopy (EIS), advanced analytics, and continuous data feedback across deployed stacks, Pulsenics consolidates that data which is used to optimize every aspect of your deployment
Three Phases. One Reliability Ecosystem.
The Pulsenics Reliability Program is a connected suite of three solutions that strengthen every stage of the electrolyser lifecycle, from design to production to operation. Each phase can work on its own or as part of a continuous feedback loop that builds reliability with every generation.

- Validate designs faster and shorten development cycles.
- Build failure catalogues from EIS signatures.
- Correlate design variables to degradation behavior.
- Reduce R&D waste and scale-up risk.
- Detect defects in minutes prior to shipment.
- Deliver digitized, traceable QC records.
- Automated validation process for GW-scale production.
- Flag failing cells months before voltage drift.
- Optimize uptime and extend stack lifetime.
- Shift to data-driven maintenance and warranty planning.
Why Pulsenics?
The Reliability Chain
In-line EIS
The Pulsenics system is ideal for:
- Electrolyser OEMs scaling production.
- Integrators and operators managing field fleets.
- Research partners developing next-gen stacks.
- Single cell to stack characterization (R&D, end of line, field monitoring)
- Advanced EIS analysis modules
- Onboarding, training & set-up
- Process design support
- Ongoing remote monitoring & support
- Expertise in processing complex EIS & failure data
- Model development for end-of-line QA/QC diagnostics
- Predictive algorithms for field-deployed asset monitoring


