nao Labs

Claude AI models for advanced reasoning and analysis

Fully managed service that makes foundation models from leading AI startups and Amazon available via an API.

Find answers to common questions about nao Agent, deployment, self-hosting, supported data stacks, and security.

Google's multimodal AI models for diverse tasks

Full benchmark of 20 AI analytics agents on accuracy, cost, context depth, and data team UX. Warehouse-native tools, AI-native BI, and open-source agents compared.

Recap of the first meetup dedicated to agentic analytics: 4 data teams from Gorgias, Malt, GetAround, and The Working Company share what they've actually built, what worked, and what didn't.

Guides, benchmarks, and product thinking on analytics agents, context engineering, dbt, and modern data workflows.

The page outlines a five-step guide to building an AI-first data team using context engineering, open source analytics, and chat-with-data workflows.

Compare nao pricing plans for open source, Pro, and enterprise analytics agent deployments.

Compare nao with BI tools, warehouse-native AI, text-to-SQL tools, and open source analytics agents.

Dust is built for knowledge management, not data analytics. nao gives data teams warehouse access, dbt integration, and a governed analytics agent.

Claude + MCP is a general-purpose AI assistant. nao is purpose-built for data teams with warehouse connectors, dbt, and evaluation built in.

Claude plugins require per-user setup with no central governance. nao gives data teams synchronized context, audit logs, and built-in evaluation.

The page introduces the team building nao and its work on context engineering for analytics agents.

nao is an open source analytics agent for data teams. The team is building a context layer for AI-powered analytics.

Talk to the nao team about analytics agents, context engineering, enterprise deployment, and partnerships.

nao is an analytics agent builder for context engineering that supports building, evaluating, and deploying analytics agents with a team's own data stack.