Hex
Website unreachable since Oct 18, 2026
Hex is a collaborative data platform that unifies SQL, Python, and R in a notebook-based workspace, enabling teams to explore data, build interactive apps, and generate AI-powered insights. The platform grounds AI agents in organizational context from semantic models and dbt metadata, providing trusted, governed answers across Hex, Slack, and CLI surfaces. It serves over 1,500 teams, including Reddit, Anthropic, and Figma, with a focus on agent-native analytics.
- Data & Analytics
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
- Developer Tools
Funding
Raised to date
$272MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 6 rounds
+14$100M · Series D
Announced Oct 2026
Disclosed cumulative: $272M
Founders
Product
Problem
Data teams face fragmented workflows across separate tools for SQL, Python, R, and BI, hindering collaboration and slowing the path from raw data to actionable insights. Traditional analytics tools often fail to provide a unified environment for exploration, visualization, and interactive reporting, while standalone AI chatbots deliver inconsistent answers without proper context or governance.
Solution
Hex Technologies provides a collaborative data platform that unifies SQL, Python, R, and no-code analysis within a modular, notebook-based workspace. The platform is built around an agent-native architecture where AI agents assist with exploration, code generation, and visualization, grounded in organizational context from semantic models, dbt metadata, and documentation. Hex enables teams to build and share interactive data apps and generative dashboards, with a Context Studio that surfaces context gaps and suggests improvements to maintain answer accuracy. The platform supports self-serve analytics where anyone can ask natural-language questions and receive trusted answers, while providing observability and audit trails for every AI interaction across Hex, Slack, MCP, and CLI surfaces.
Target Audience
Primary users are data scientists, analysts, analytics engineers, and data-curious business users within organizations of all sizes who need a collaborative platform for data exploration, analysis, and application building. The platform serves teams at companies like Reddit, Anthropic, Figma, Notion, and ClickUp.
Features
- Agent-native, code-first platform supporting SQL, Python, and R in a reactive notebook canvas
- Conversational analytics with AI agents that generate trusted answers grounded in semantic models and warehouse tables
- Context Studio for unified context management, ingesting logic from dbt, Git repos, and docs, with automatic suggestions for context gaps
- Generative data apps and pixel-perfect dashboards created from natural-language prompts
- Agent observability with audit trails, topic tracking, and warning detection across Hex, Slack, MCP, and CLI
- Built-in connections to data warehouses, lakehouses, and databases (e.g., Postgres, Clickhouse, Snowflake)
- Deep integration with dbt, including metadata, documentation, and metrics
- Integration with Snowpark for Snowflake and Spark for remote Python execution
- Version control through Git integration (GitHub, GitLab) and orchestration with Airflow, Dagster, and Prefect
- Public API, role-based access control, and data endorsement features
- SOC 2 Type II, HIPAA, GDPR, and PCI compliance certifications