Trust
Your tools. Your science. Your data.
These principles guide what we build and how we qualify it.
- 01
Keep scientific meaning intact.
Identity, units, missing values, axes, coordinate claims and exact versions are preserved; unknowns and conversion losses are shown.
- 02
Make independence practical.
You can read and reuse your permitted data, its provenance and interpretations without us; exit does not depend on renewing our application.
- 03
Respect the data authority.
Permissions are checked at every read, run and publication; each asset has one authoritative home.
- 04
Own the history, too.
Scientific lineage records how a result was made; diagnostics and analytics have other purposes and never replace it.
- 05
Make AI use explicit.
Holding data confers no training right; AI use is a separate, recorded permission, and there is no training across organisations.
- 06
Qualify before claiming.
Nothing on this site is shown as available until it is merged and tested; limits are stated, and what is not planned is said plainly.