nao Labs

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Pricing Company Security Docs Resources Sign in Download nao Loading changelog... Start data vibing today Download nao Contact us AICPA SOC 2 Company Team Hiring Contact us Resources Pricing Security Blog Docs FAQ Roadmap Changelog Legal Trust Center Privacy…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Pricing | nao Product Pricing Services Users Docs Resources GitHub Sign in Pricing Start for free. Scale nao with your team. Free Self-Hosted Self hosted deployment Bring your own LLM key Full access to context builder and chat UI Slack integration Deploy now…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Blog | nao Product Pricing Services Users Docs Resources GitHub Sign in Blog Research, how-to guides, and product thinking for teams building reliable analytics agents. product updates 10 February 2026 We're launching the first Open Source Analytics Agen…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao | Open Source Analytics Agent Builder Product Pricing Services Users Docs Resources GitHub Sign in the Analytics Agent built for context engineering Build your agent context like a file system. Deploy a chat UI for anyone to run analytics on your data. 10…

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

Open-source analytics agent builder.

Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

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

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Meet the team building nao and shaping context engineering for analytics agents.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Learn about nao, the team behind it, and the principles driving context engineering for analytics agents.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.

Spring 2025 batch; open-source analytics agent builder ('cursor for data').

Why it matters: Funding signal — Pre-Seed per this source; verify against the linked original before relying on it.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.

A Model Context Protocol server, designed by Nao Labs to interact with Metabase.

Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.

A Model Context Protocol server, designed by Nao Labs to interact with Fivetran.

Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.

Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.

Open-source core project.

Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.

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

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Open source isn't a marketing strategy. It's the only way to build trust in analytics agents — and the only way context engineering matures as a discipline.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A step-by-step guide to set up an AI analytics Microsoft Teams bot with an open source framework so your team can chat with data directly in Teams.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical step-by-step guide to set up an AI analytics Slack bot with an open source framework so your team can chat with data directly in Slack.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

We tested MetricFlow semantic layers against a plain rules.md file to measure the real impact on analytics agent reliability, cost, and speed. Here's what the data says.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

We're open sourcing nao — an analytics agent framework built on context engineering. Here's our vision for what comes after black-box BI.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical comparison of the 5 best open source analytics agents in 2026 — nao, Agno Dash, LangChain, LibreChat, and Vercel's knowledge agent template.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Analytics agents won't scale without a proper context stack. Here's why context engineering needs its own open framework — and what that framework looks like.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Why natural language interfaces are displacing traditional BI dashboards - and how to prepare your data warehouse for this shift

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Five open-source skills that set up your nao project, write its rules, build its test suite, audit it, and add a semantic layer. Install with `nao skills add getnao/nao`.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical case study on how context engineering, dbt documentation, and data-model fixes improved an analytics agent from 45% to 86% reliability.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Stories turn a chat with your data into a shareable, editable, versioned report. Watch the launch demo and read how it works.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

How to go from the semantic layer answering no questions to 82% reliability on a wide business range - 4 steps with real benchmark data.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical guide to data modeling for AI agents, with clear rules to optimize for precision, reliability, and better chat-with-data performance.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A summary of 3 context engineering studies on analytics agents: what actually moves reliability, whether a semantic layer is worth it, and how to set up a testing and monitoring framework.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical 7-step guide for data teams to build a context stack that improves analytics agent reliability, speed, and cost control.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Learn Git essentials for data professionals, including practical workflows and how AI can help automate version control for SQL, Python, and data projects

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical 5-step setup guide to deploy an analytics agent on dbt MCP with nao, from choosing the right MCP to rolling out chat with data across your company.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

Complete step-by-step guide to setting up dbt, creating your first models, and leveraging AI to accelerate your data transformation workflow

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A comprehensive guide to choosing the right data stack for your company's stage and data maturity.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

We tested schema, data sampling, profiling, dbt repos, and rules.md to find which context pieces actually improve analytics agent reliability. Here's what the data says.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical 7-step guide for data teams to design, organize, and test skills that improve analytics agent reliability and chat-with-data outcomes.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A complete guide to building reliable AI agents for data analytics - from context engineering to production deployment

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical 7-step framework to build your in-house analytics agent fully with open source tooling, from context engineering to evaluation and rollout.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical guide to choose the best option for you to deploy an analytics agent.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A step-by-step guide to evaluating your analytics agent's reliability using nao's built-in unit test framework — from writing your first test to running the visual dashboard.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

A practical 5-step guide to turning your team into an AI-first data team with context engineering, open source analytics, and chat with data workflows.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

We benchmarked 20 analytics agent solutions — from warehouse-native tools to AI-native BI and open-source agents — on accuracy, cost, context depth, and data team UX. Here's the full breakdown.

Why it matters: Company publishing — post cadence and depth hint at product velocity.

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.

Why it matters: Company publishing — post cadence and depth hint at product velocity.