An artificial intelligence evaluation platform centralizes datasets, test cases, evaluators, rubrics, experiment runs and results. Teams can use it to compare models, prompts, agent harnesses and skills against the same versioned criteria.
A platform helps evaluation become a repeatable engineering practice rather than an isolated demonstration. Useful systems preserve provenance, support human review, expose regressions and connect production feedback to new tests.
