Science & analysis
Scientific methods
Experimental context shapes the methods, questions, and everyday workflows in Gradiance. Analysis choices and supporting calculations stay available for review.
Get in touchAbout Gradiance
Scientific experience.
Engineering care.
Built for researchers working from experimental data to clear, reviewable results.
We bring experience at the bench and in software engineering to the same problem: making the path from experimental data to an understandable result easier to follow.
What guides the platform
Software & infrastructure
Connected workflows
The application connects data uploads, analysis tools, and results in one workspace, so researchers can follow each experiment from source data to exported figures.
Get in touchOur approach
Make the work
easier to understand.
Gradiance pairs a conversational assistant with scientific Python tools. The assistant helps navigate the analysis, while established libraries handle the calculations. Source data, conversations, and results stay together in a workspace built around each experiment.
Our aim is practical: less time moving data between tools, clearer choices about methods, and results that researchers can review with confidence.
Explore the documentation