nao Labs
YC X25Paris, FR · Founded 2024 · 2 employees · Hiring · 2 known investors
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782 people in our graph share verified history with the nao Labs team — schools, employers, funds. One of them is your warm intro.
Sofia Dahouneunlockedknows Claire Gouze · together at ESSEC Business School (overlapped)
×11knows the team · via Y Combinator
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.
AI & Machine LearningData & InfrastructureDeveloper ToolsEnterprise SoftwareSaaSAnalyticsOpen SourceAIFranceEurope
Founders & leadership· Y Combinator alumni (X25)
nao Labs was founded in 2024 by Claire Gouze and Christophe Blefari.
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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.
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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
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Domo14 shared keywordsDomo offers a cloud-based platform that integrates data integration, analytics, automation, and artificial intelligence capabilities to help organizations connect data sources, prepare and analyze information, and automate business processes and workflows. The platform serves enterprises across various functions including marketing, finance, operations, and supply chain, enabling users to derive insights and take action based on current business data.
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 is an embedded AI analytics platform for SaaS companies and ISVs that enables product teams to ship white-label, customer-facing analytics directly inside their applications without building analytics infrastructure in-house. The platform combines conversational AI, self-service dashboards, multi-tenant security, and a semantic layer for end users of SaaS products.
Sganalytics10 shared keywordsSG Analytics provides AI-powered data insights, research, and analytics services to enterprises across banking, capital markets, and technology sectors. The company serves investment banks, private equity firms, and financial institutions with research support, ESG services, compliance solutions, and data intelligence for decision-making.
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.