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nao Labs

YC X25

Paris, FR · Founded 2024 · 2 employees · Hiring · 2 known investors

Nao is an open-source analytics agent platform that enables users to query data warehouses in natural language through a managed or self-hosted chat interface. The platform is designed for data teams and business users to explore structured data, metrics, and models without writing SQL.

Founders & leadership· Y Combinator alumni (X25)

nao Labs was founded in 2024 by Claire Gouze and Christophe Blefari.

CGClaire Gouze
Claire GouzeinCo-founder & CEOClaire Gouze held the position of head of data at sunday and previously worked as a data scientist at BCG Gamma. She has a business school background and self-taught expertise in data sciences.
CBChristophe Blefari
Christophe BlefariinCo-founderChristophe Blefari has built data tools and platforms across more than 10 organizations including French government entities. He maintains a public presence writing about data topics on his blog and LinkedIn.

Investors · 2

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Competitors · 10

by search overlap
Domo14 shared keywordsBusiness intelligence and management platform.
Tinybird13 shared keywordsTinybird provides a platform that transforms data stored in cloud data warehouses into real-time REST APIs, enabling software teams to access and build with data at scale without manual gatekeeping. The tool is designed for developers and AI-native teams to quickly integrate data into applications.
Atlan13 shared keywordsAtlan builds a "context layer" and metadata management platform, including a data catalog, data governance tools, and a Context Lakehouse, that supplies enterprise data context to AI agents and data teams. It serves large enterprises looking to make AI systems operate with knowledge of their data environment.
Cake Ai11 shared keywordsCake is a fully managed, modular AI infrastructure platform that helps teams build and deploy AI-powered applications using open source tools with built-in security and compliance. The platform serves development teams looking to accelerate time-to-market for LLM-powered apps and ML pipelines.
Snowplow11 shared keywordsSnowplow provides customer data infrastructure that captures granular first-party behavioral data and turns it into real-time, AI-ready signals for product and marketing teams. It serves product teams building adaptive experiences, experimentation, and feature optimization by delivering historical and real-time user attributes without heavy in-house data engineering.
Statsig11 shared keywordsStatsig provides a feature management and experimentation platform that enables teams to control software releases through gradual rollouts and A/B testing. The platform serves product and engineering teams building and shipping software applications.
Estuary11 shared keywordsEstuary provides a real-time data platform that helps companies harness and stream their data. The platform serves engineering, product, and customer-facing teams building data-driven applications.
Toucantoco11 shared keywordsToucan provides embedded analytics infrastructure that lets SaaS product teams add conversational AI, self-service dashboards, and white-labeled reporting into their applications. Users query data in natural language to generate charts, running on a governed semantic layer with multi-tenant, row-level and column-level security.
Sganalytics10 shared keywordsSG Analytics is a data analytics, market research, and investment research consulting firm that helps enterprises turn data into insights using AI and machine learning. It serves clients in banking, financial services, insurance, capital markets, technology, media, telecom, and construction, offering services such as investment banking and private equity deal support, market research, and AI consulting.
PostHog10 shared keywordsPostHog is a product analytics and data platform offering multiple integrated tools for product engineers, including analytics, experimentation, and customer data management. The platform serves engineering teams and startups who need comprehensive product insights without switching between multiple vendors.

Companies competing with nao Labs for the same Google search keywords, organic and paid, via search-intersection analysis.

In the news

Frequently asked questions

What does nao Labs do?
Nao is an open-source analytics agent platform that enables users to query data warehouses in natural language through a managed or self-hosted chat interface. The platform is designed for data teams and business users to explore structured data, metrics, and models without writing SQL.
Who founded nao Labs?
nao Labs was founded by Claire Gouze, Christophe Blefari in 2024.
Who are nao Labs's investors?
nao Labs's investors include Kima Ventures, Y Combinator.
Where is nao Labs headquartered?
nao Labs is headquartered in Paris, FR.