Fast and exact mesh booleans, spatial queries, arrangements, registration, and remeshing. Composable algorithms on your data — zero-copy views, reusable spatial trees, first-class topology.

Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess reliability of model predictions, trigger human ...