What we work towards

Make testing useful

Help teams answer practical questions: Does the model work with our data? Where does it fail? Is it worth deploying? We build tools to make those answers easier to find.

Make testing routine

We want careful testing to be part of every AI project, from the first experiment to everyday use. Teams should know how their AI performs and when it needs attention.

What Knotest helps you do

Catch problems early

Find weaknesses before they become expensive fixes. Targeted tests help you focus on the changes that matter.

Test beyond the benchmark

Choose from 100+ test metrics and custom protocols to check the conditions your model will face.

Make reviews easier

Use a consistent testing process so teams can compare results and agree on the next step.