Frayst
We test the environments AI models are trained in.
When a training environment rewards a wrong answer, the model learns the wrong answer. Frayst finds where that happens, proves each case by running it, and delivers a fix that has been checked.
Our first studies, on public coding, terminal and business-workflow training tasks, will be published here in November 2026.
For a pilot on your own environments, or a copy of our brief. Everything else: hello@frayst.com