Software is becoming lab equipment.

Battery research is slow when every step is manual. I’m building tools that automate experiments, analyse the data they produce with machine learning, and keep every result structured and searchable. Live dashboards will be published on this page.

A Approach

From experiment to insight, in one loop.

Three connected layers — each useful on its own, more powerful together.

Experimentation

Scripted, repeatable electrochemical testing, so experiments run consistently and around the clock.

Python
Instrument control
Scheduling

Analysis

Machine-learning models that read cycling data, flag anomalies and predict which cells and formulations are worth pursuing.

Machine learning
Feature extraction
Prediction

Data & dashboards

Every measurement stored with its metadata and surfaced in interactive web dashboards anyone on the team can explore.

Databases
Web apps
Visualisation

B Dashboards

Live dashboards

Interactive tools will be added here as they’re ready for the public.

Coming soon

Dashboard 01

Battery cycling data explorer.

Coming soon

Dashboard 02

Machine-learning analysis tools.

Coming soon

Dashboard 03

Experiment and data tracker.

C Collaborate

Interested in the tools?

Some tools are still internal. If you’d like a demo or want to collaborate on automating your own workflows, get in touch.

contact@kumarsonal.com