nao Labs
nao Labs builds an open-source analytics agent platform that uses context engineering to let data teams query warehouses in natural language, generate SQL via dbt-aware context, and deploy governed chat interfaces across the modern data stack.
- Company typePrivate
- Founded2024
- HeadquartersClichy, France
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What nao Labs does
nao Labs is a French-headquartered, Delaware-incorporated software company that builds an open-source analytics agent platform grounded in a context engineering methodology. The core product, nao Agent, is a 100% open-source framework that interprets natural language questions, plans multi-step queries, generates SQL against connected warehouses, and explains results in plain English. The platform connects directly to eight major data warehouses (BigQuery, Snowflake, Postgres, Databricks, DuckDB, Amazon Athena, Amazon Redshift, MotherDuck), ingests dbt manifest.json for lineage and metric definitions, and supports six LLM providers (OpenAI, Anthropic, Gemini, Amazon Bedrock, Mistral, Ollama) without locking customers to a single model. Context is stored as versionable files in a git repository, enabling PR-based review and code-like deployment of analytics knowledge.
The commercial product portfolio includes nao IDE (a desktop AI code editor for data teams on macOS and Windows), nao MCP Server (exposing the agent as a Model Context Protocol server for Claude, Cursor, Codex, and 11+ MCP-compatible tools), nao Enterprise (SSO, row-level security, branded UI, centralized billing), and supporting features including nao Stories (shareable reports), nao Automations (scheduled agents and alerts), and nao Context Recommendations (automated context auditing). Pricing follows a freemium model: free Starter with 15-day Pro trial, $30/month Pro, and custom Enterprise contracts. Revenue is driven by subscription SaaS with an enterprise sales motion layered on top of a product-led, community-led, and open-source-led distribution strategy.
The company was relaunched in 2025 under new ownership following prior financial difficulties, with Claire (Co-founder & CEO) installed as leader. Y Combinator backed the company in the X25 batch (June 2025, $500K). The customer base disclosed on the homepage comprises nine mid-market enterprise logos across insurance (Alan), healthcare (Qare), finance (Spendesk, Finfrog), and gaming (Nexus Mods). The company is SOC 2 Type II certified, maintains formal Zero Data Retention agreements with OpenAI and Anthropic, and operates with a 1-10 person team out of Clichy, France.
nao Labs firmographics
Firmographics- Name
- nao Labs
- Legal name
- nao Labs
- Website
- https://getnao.io
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- nao Labs builds an open-source analytics agent platform that uses context engineering to let data teams query warehouses in natural language, generate SQL via dbt-aware context, and deploy governed chat interfaces across the modern data stack.
- Ownership category
- akta.pro rank
nao Labs industry classification
Industry- Product category
- AI Analytics Software
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)
- akta.pro secondary industries
- Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)
Keywords
Where nao Labs is headquartered
LocationHeadquarters
- HQ city
- Clichy
- HQ country
- France
- HQ region
- Europe
Offices1 record
Markets served
nao Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscriptions: Three-tier SaaS subscription model: Starter (free trial), Pro ($30/month), and Enterprise (custom pricing). Pro includes team features, direct Slack support, and unlimited agent requests. Enterprise adds SSO, centralized billing, and dedicated support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free starter tier with 15-day Pro trial, unlimited data connections, unlimited AI auto-complete, up to 5 agent requests/day |
| Subscription | Monthly | $30/month Pro tier with unlimited agent requests, team features, and direct Slack support |
| Subscription | Multi-year contract | Custom Enterprise pricing with SSO, centralized billing, and dedicated support |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
nao Labs product offering
Product offeringCore offering
nao Labs offers an open-source analytics agent platform built on context engineering, comprising nao Agent (an open-source analytics agent framework that lets users chat with data warehouses in natural language), nao IDE (an AI code editor for data teams with SQL worksheets, AI autocomplete, and chart generation), and an Enterprise tier with SSO, row-level security, and centralized billing. The platform connects directly to major data warehouses (BigQuery, Snowflake, Postgres, Databricks, DuckDB, Redshift, Athena, MotherDuck), ingests dbt manifests for lineage and documentation, and supports multiple LLM providers (OpenAI, Anthropic, Gemini, Amazon Bedrock) under a local-first architecture where data does not leave the user's machine.
Product overview
nao Labs offers an open-source analytics agent platform built around context engineering. The core product portfolio consists of: nao Agent - the open-source analytics agent framework for natural language chat with data warehouses; nao IDE - an AI data editor for data teams with SQL worksheets, AI autocomplete, and chart generation; and nao Enterprise - an enterprise tier adding SSO, row-level security, and branded UI. Supporting features include nao MCP for Model Context Protocol integration, nao Stories for shareable reports, nao Automations for scheduled analytics, and nao Context Engineering Skills for context setup. The platform supports multiple LLM providers (OpenAI, Anthropic, Gemini, Amazon Bedrock) and integrates with major data warehouses (BigQuery, Snowflake, Databricks, Postgres, Redshift, DuckDB, Athena, MotherDuck) and transformation tools (dbt Core). Services include professional implementation support and access to the nao Experts partner network.
Differentiator
Problem solved
Functional benefit
Brands
- nao IDE: AI data editor designed for data teams - connected to warehouse and business context, powered by an agent that writes code with data quality in mind
- nao Agent
- nao MCP
Products and services
- nao Agent Open-source analytics agent framework built on context engineering that enables natural language chat with data warehouses, generating and executing SQL queries against connected warehouses. Targets data teams within organizations and is 100% open source and self-hostable.
- nao IDE AI data editor desktop application for data teams, connected to data warehouses and business context, powered by an agent that writes SQL and code with data quality in mind. Available for macOS and Windows. Includes SQL worksheets, AI autocomplete, chart generation, and data preview features.
- nao MCP Model Context Protocol server that exposes nao as an MCP server, enabling users to run governed analytics from Claude, Codex, Cursor, or any MCP-compatible tool. Renders interactive charts and stories directly inside AI agents.
- nao Enterprise Enterprise subscription tier adding SSO (Microsoft Entra ID, Google, Apple), row-level security, branded UI, centralized billing, enterprise workspace, and dedicated support team to the nao platform. Includes bring-your-own-LLM-key option.
- nao Services Professional services offered by nao Labs to help companies implement the nao agent end-to-end or improve their context layer.
Quantifiable outcome
- Data teams can improve analytics agent reliability from 45% to 86% through context engineering techniques
- +2 more outcomes
Companies that use nao Labs
Customer profileNamed customers9 records
Segments2 records
Ideal customer profiles2 records
nao Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration31 records
AI capability11 records
Feature8 records
nao Labs partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Data GenminorData Gen is a freelance collective and consulting firm listed as a nao Expert partner focused on modern data stack and AI analytics implementations. Based in France, they help companies implement nao agents end-to-end.
Scale indicators2 records
Recent moves6 records
Expansion highlights6 records
nao Labs competitors and assessment
Company assessmentDirect peers
- Hex: Hex is a collaborative AI-powered analytics and data science notebook. It directly competes with nao IDE by offering AI-assisted SQL/Python workflows with notebook-style collaboration, targeting the same data analyst persona.
- Mode Analytics: Mode is an analytics platform combining SQL editor, Python/R notebooks, and dashboards. It targets data analysts with similar collaborative, code-first workflows that nao IDE is pursuing.
- Wren AI: Wren AI is an open-source GenBI agent that turns natural language into SQL, directly compared against nao in a 2026 benchmark study. Competes head-to-head on open-source text-to-SQL analytics agent positioning.
Broad incumbents
- ThoughtSpot: ThoughtSpot is an established AI analytics platform with natural language search and AI-powered insights. It competes broadly in the analytics space where nao positions its AI agent, though it serves a broader business-user audience.
- Sigma Computing: Sigma is a cloud analytics platform with AI features for spreadsheet-style data exploration. Targets similar business users and data teams and represents a broader incumbent in the analytics agent space.
- Snowflake Cortex: Snowflake's native AI suite includes Cortex Analyst for natural language to SQL on Snowflake data. As a native warehouse-vendor offering, it represents a structural competitive threat to nao for Snowflake customers.
- Databricks Assistant / Genie: Databricks Assistant and Databricks Genie provide native AI SQL generation and natural language querying for Databricks users. Represents first-party warehouse competition that could compress nao's addressable market.
Emerging players
- Vanna AI: Vanna is an open-source Python framework for text-to-SQL using RAG. It overlaps with nao's open-source analytics agent approach but is more narrowly focused on SQL generation rather than full context engineering.
- Defog.ai: Defog provides AI-powered text-to-SQL agents for enterprise data, comparable to nao's analytics agent core capability. Both target natural language querying of warehouses with evaluation/reliability focus.
Regional players
- CastorDoc: Castor is a French-founded data catalog and documentation platform targeting modern data teams. Comparable European data-tooling positioning to nao Labs and potential ecosystem partner or indirect competitor for dbt-driven workflows.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
nao Labs social profiles
Digital presencenao Labs compliance and trust
Trust signalCompliance1 record
nao Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
nao Labs leadership team
Management profileNumber of profiles
Profiles1 record
nao Labs funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
nao Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about nao Labs
What does nao Labs do?
nao Labs offers an open-source analytics agent platform built on context engineering, comprising nao Agent (an open-source analytics agent framework that lets users chat with data warehouses in natural language), nao IDE (an AI code editor for data teams with SQL worksheets, AI autocomplete, and chart generation), and an Enterprise tier with SSO, row-level security, and centralized billing. The platform connects directly to major data warehouses (BigQuery, Snowflake, Postgres, Databricks, DuckDB, Redshift, Athena, MotherDuck), ingests dbt manifests for lineage and documentation, and supports multiple LLM providers (OpenAI, Anthropic, Gemini, Amazon Bedrock) under a local-first architecture where data does not leave the user's machine.
Is nao Labs a public or private company?
nao Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was nao Labs founded?
nao Labs was founded in 2024. It employs 1 to 10 people.
Where is nao Labs based?
nao Labs is headquartered in Clichy, France, in the Europe region.
How does nao Labs make money?
One revenue line is on record: saaS Subscriptions.
Who are nao Labs's main competitors?
Direct peers on record are Hex, Mode Analytics and Wren AI. Broad incumbents are ThoughtSpot, Sigma Computing, Snowflake Cortex and Databricks Assistant / Genie. Emerging players are Vanna AI and Defog.ai. CastorDoc is listed as a regional player.
Does nao Labs have an API?
No public API is recorded for nao Labs.
What industry is nao Labs in?
nao Labs's product category is AI Analytics Software. Its primary akta.pro industry code is HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes, with a secondary code of HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management. Its NAICS code is 5132 and its SIC code is 7372.