EvalFlow provides reusable evaluation pipelines for LLM and ML systems, combining automated test suites, regression detection, production-query sampling, and structured human evaluation workflows. It integrates with experimentation and observability stacks so teams can compare prompts, models, and data changes against metrics that reflect real user quality.

AI teams are moving from prototypes to production systems, making continuous quality measurement a core infrastructure need. Multiple companies are hiring specifically for eval pipelines, human feedback collection, and assistant observability, indicating budget and urgency.