Design Principle
A language for science should never erase provenance or confidence signals just because a result reached a scalar.
We design language and tooling infrastructure for scientists and engineers who need both computational performance and defensible uncertainty handling in production systems.
A language for science should never erase provenance or confidence signals just because a result reached a scalar.