nao blog · Jul 2026
Official blog post announcing a free 52-page playbook on building analytics agents, context engineering, and rollout best practices.
Company research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Overview
nao Labs is an open-source analytics agent builder focused on “context engineering” for data teams. It positions nao as a self-hostable analytics agent / AI data IDE that helps teams organize warehouse, docs, queries, repos, and business semantics so non-technical and technical users can self-serve reliable analytics.
Primary product
nao Agent — an open-source analytics agent / AI data IDE for context-engineered, self-serve analytics
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Data Infrastructure and Analytics
Sub-industry
Agentic analytics / AI data IDE
Offices
San Francisco, California, United States
Paris, France
Clichy, Île-de-France, France
Business model
open-source core
subscription SaaS
enterprise licensing
implementation services
Funding
Stage
Pre-Seed
Total raised
$500K
Latest round
Pre-Seed · Jul 2025
Latest amount
$500K
Jul 2025 · Y Combinator
People & investors
Leadership
Co-founder & CEO
Co-founder & Engineering
Engineering
Engineering
Work & culture
Open-source, engineering-first, and community-driven, with a strong emphasis on reliability, context engineering, and self-serve analytics. Public pages also show a distributed team spanning Paris and San Francisco.
Compensation
Public compensation signals are limited; one surfaced internship listing snippet showed €1.2K/month for a Software Engineer Intern in Paris. No broader public salary bands were found.
Product & market
Pricing
Freemium/open-source core with a $500/month cloud tier and custom enterprise pricing; implementation services are also offered.
Differentiators
- —Open-source core with self-hosting
- —Context engineering approach for analytics agents
- —Works with existing data stacks and warehouse context
- —Chat/UI and MCP-style access across tools and channels
- —Enterprise controls such as SSO, row-level security, white-labeling, and SOC 2 support
- —Reliability testing and context monitoring built into the product
Technology
TypeScript
Python
React
Vercel
OpenAI
Fastify
Drizzle
tRPC
TanStack Query
shadcn/ui
Docker
Slack
Anthropic
Gemini
Snowflake
BigQuery
PostgreSQL
Databricks
Redshift
Customers
LiveKit
Everyday
Finfrog
Qare
Competitors
Hex
Metabase
Lightdash
Sigma
Snowflake Cortex
Databricks Genie
Scale & contact
Estimated revenue
About $220K ARR (third-party estimate; not company-confirmed)
Estimated monthly visits
19.1K
Traffic estimate as of Jul 2026
Latest news
nao blog · May 2026
Official launch of an MCP app that renders charts and stories directly inside AI tools.
nao blog · May 2026
Official launch of an enterprise layer with SSO, row-level security, branded UI, SOC 2 support, and implementation services.
nao blog · May 2026
Official launch of nao as an MCP server so users can run governed analytics from Claude, Cursor, Codex, and other MCP-compatible tools.
nao blog · Feb 2026
Official launch post for the open-source analytics agent framework and context-engineering approach.
Jobs and careers at nao Labs
0 jobs at nao Labs
No open positions
Check back later for new openings