A unified experimentation platform that combines online A/B testing with offline evaluation frameworks, event tracking, automated bad-case discovery, and causal inference tooling specifically for AI and ML product teams. It integrates with logging systems and metadata pipelines so teams can move from hypothesis to measured results quickly without building bespoke evaluation infrastructure per project.

As companies across GTM, support, product, and engineering race to deploy AI agents and LLM-powered features, the gap between shipping AI and measuring its real impact has become acute, and roles dedicated to AI experimentation are now appearing across the industry.