nao

nao is an analytics agent builder designed for teams that want to operationalize “context engineering” on top of their existing data stack. It enables data and analytics teams to design, test, and deploy AI agents that can reliably answer questions, generate insights, and automate analysis using live warehouse data. The tool focuses on making analytics agents predictable, auditable, and aligned with organizational data models and governance standards.

Key capabilities include a structured environment for defining how agents access, interpret, and reason over data, including schema-aware context configuration and guardrails. nao provides workflows for evaluating agents against real-world scenarios, with systematic testing, benchmarking, and error analysis to improve reliability over time. It integrates directly with modern data platforms and transformation layers, so agents operate on trusted metrics, models, and permissions rather than ad hoc connections. Versioning, observability, and monitoring features help teams track changes, understand agent behavior, and manage performance in production.