Turn EIS into QC-ready DRT signals.
In 30 minutes we will extract DRT peaks, score data quality, and email a report with the next best test.
- QC score snapshot mapped to your process step
- DRT peak map annotated to your system
- Follow-up report with prioritized next tests
Register to receive a CSV template + an example report.
What to bring
- 1 impedance spectrum (CSV)
- Basic test context (cell/stack + conditions)
- Your primary question
Preview the artifacts
A DRT peak map plus a shareable report, formatted for your team.
DRT peak map preview
PDF report preview
How Pulsenics has helped other teams
“We needed a diagnostics partner who could stick with us for the long term.”
Natasha Kostenuk, CEO & Founder, Ayrton Energy“AI analytics from Pulsenics helps us to offer the latest high-performance technology.”
Paul Sernia, CEO, Endua“Optimizing hydrogen efficiency and fuel cell durability will be key in providing total cost of ownership.”
Mark Mak, Chief Technology Officer, HyzonFast, technical, and output-focused
Short session. Clear deliverables. Built for electrochemistry teams.
Workshop flow
Short, precise, and built for technical teams.
5 min
Your context + data intake
12 min
DRT mapping and diagnostic signal extraction
7 min
QC signal plan + recommended actions
Quick answers
Fast, practical, and low-lift to join.
What file format should I bring?
CSV export of your impedance spectrum. We will send a template after registration.
Do I need to install anything?
No install. We run everything live in the workshop.
How is my data handled?
Data is processed live and discarded after the session unless you ask us to retain it.
Who should attend?
Battery, fuel cell, and electrolyser R&D, quality, process, and manufacturing teams.
Translate spectra into diagnostic clarity
We focus on the few signals that drive actionable decisions.
Kinetic changes
Track charge transfer shifts and reaction limitations.
Transport limits
Identify diffusion and mass transport constraints.
QC variance
Compare spectra to expected ranges across lots.
Advanced electrochemistry teams
Battery, fuel cell, and electrolyser groups who need faster, evidence-based decisions.
Battery R&D
Diagnose peak drift, aging, and QC variance.
Fuel cell stacks
Translate spectra into stack health signals.
Electrolyser ops
See degradation signals earlier in the cycle.