Orchestra

Orchestra is a platform for evaluating AI work in production and improving the models behind it. It captures production traces and expert corrections, builds task-specific benchmarks, and uses them to refine prompts, compare models, or train specialist models whose weights the team owns. The goal is to route each task to the most efficient model while retaining prior routes as fallbacks.

The platform follows an Observe, Evaluate, Improve, Deploy loop. It works through an Understudy API gateway that accepts existing OpenAI and Anthropic SDK calls, with provider or managed-model access configured in the app. Capabilities include improved instructions, schemas, parsers, and tool contracts; head-to-head comparison of frontier and open models on held-out work with quality, response time, and cost; and training of proprietary specialist weights from accepted traces. Artifacts retained include prompts, evaluators, routing rules, and specialist models.

Orchestra targets teams running high-volume production workloads such as action-oriented agents, precision operations, and enterprise-scale classification, extraction, and labeling. The pages do not describe a free plan, trial, or specific editions.