Hex
AI analytics platform combining collaborative SQL/Python notebooks, data apps, and natural-language queries for data teams; $19.8M ARR.
Hex is an AI-powered analytics platform that combines SQL/Python collaborative notebooks with a self-serve natural-language layer for non-technical users. Data teams build analyses in notebooks and publish them as interactive data apps for business stakeholders; Context Studio - Hex's semantic model layer - ensures natural-language queries are grounded in the company's actual metric definitions. In May 2025, Hex raised a $70M Series C led by Avra with participation from Snowflake Ventures, Sequoia, and a16z, bringing total funding to $172M. ARR reached $19.8M in 2024 (per Latka), up from $9.4M in 2023. Customers include Reddit, Notion, Figma, Brex, AWS, and the NBA. The free Community tier supports up to 5 notebooks with any data source connection.
Key Features
- Agentic Notebooks - AI agents write SQL queries, generate Python visualizations, and build complete analyses end-to-end
- Context Studio - semantic model layer defining company metrics and business logic to ensure query accuracy
- Natural language self-serve - business users ask data questions without writing SQL; answers are grounded in verified metrics
- Collaborative real-time notebook editing with SQL, Python, and no-code cells in a single workspace
- Data Apps - publish notebook outputs as interactive dashboards for business stakeholders
- Scheduled runs and threshold alerts for automated reporting and anomaly detection
- Slack integration for answering data questions directly in chat without leaving the team workspace
Use Cases
- Data scientists building reusable analyses in notebooks and publishing them as self-serve dashboards for business teams
- Analytics engineers defining metrics in Context Studio so business users can query data accurately in natural language
- Product teams tracking KPIs in scheduled Hex apps that refresh automatically without engineering intervention
- Data teams at startups consolidating SQL notebooks, visualization, and stakeholder reporting in a single tool
Pros
- Context Studio semantic layer grounds natural-language queries in actual company metric definitions - preventing hallucinated or incorrect results
- $19.8M ARR with 2x year-over-year growth and $172M raised - strong signal of real enterprise adoption beyond hype
- Free Community tier allows real analysis work with any data source connection - not a crippled demo
Cons
- Professional tier starts at $36/Editor/month - expensive for small teams compared to free alternatives like Observable or Deepnote
- Data Apps are powerful but require Editor licenses to build; viewer access is limited on lower plans
- Context Studio setup requires upfront semantic modeling work - value is not immediate for teams without a data model
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