Velvet

Velvet is a platform for building, testing, and deploying reliable AI systems, with a focus on complex, multi-step workflows such as AI agents and automation pipelines. It centralizes data, evaluation, and deployment tooling so teams can move from prototypes to production with greater confidence and less ad hoc engineering. By providing a consistent framework around prompts, models, and orchestration, Velvet helps teams understand how their AI systems behave in real-world conditions and iterate safely.

Key capabilities include versioned datasets and test suites for both synthetic and real user data, allowing teams to benchmark different model and prompt variants against consistent criteria. Velvet supports experiment management, so engineers can compare runs, track performance regressions, and validate changes before rollout. Integrated evaluation tooling enables automatic scoring using metrics, heuristics, and model-based evaluators, alongside human review workflows where needed. Deployment features help teams promote evaluated configurations into staging and production, monitor behavior over time, and roll back if issues arise.