Hex is a connected platform for using AI to work with data that combines collaborative notebooks with enterprise-grade data science capabilities. It allows teams to ask questions in natural language, partner with agents to do better analysis, and curate context for trusted answers.

Does Hex support multiple programming languages?

Yes, Hex supports SQL, Python, and R in the same project, allowing teams with varied technical backgrounds to work together. The platform can even translate between different programming languages and frameworks.

Can non-technical users interact with analyses in Hex?

Yes, non-technical users can interact with analyses created in Hex. The platform is designed to make everyone a data person by providing conversational self-serve capabilities and trusted insights on governed context.

What AI features does Hex offer?

Hex provides several AI capabilities including the Notebook Agent, which is a natural language assistant that generates and edits logic in notebooks, offering code suggestions and iteration on analyses with full access to project context and warehouse schema; the Modeling Agent, which generates and edits semantic models within Hex by tagging warehouse tables or Hex projects; Context Studio, which monitors AI usage across workspaces and manages the context that influences agent behavior; and Magic AI, which automatically generates queries, writes code, and creates visualizations to streamline the analysis process.

What specific tasks can AI agents in Hex handle?

Hex's AI agents can execute tasks including generating SQL queries based on natural language descriptions, automatically documenting code and creating detailed data dictionaries, transforming raw data into visualization-ready formats, creating and maintaining data quality checks, debugging Python and SQL code with contextual suggestions, and generating statistical summaries and initial exploratory analysis.

Can I turn off specific AI features?

Yes, admins can turn off Hex Magic Typeahead while keeping Magic turned on through the Magic settings page. Additionally, workspace controls allow admins to enable or disable all AI features for the entire workspace from Settings > Magic.

Does Hex sell or share customer data?

No, Hex does not and will never sell customer data. The platform has industry-leading commitments to security and privacy.

Does Hex train models on customer data?

No, neither Hex nor its model partners train models on customer data. All metadata is stored in a secure vector database running inside Hex's architecture.

Can I use PHI (Protected Health Information) data in Hex Magic?

Yes, Hex has a Business Associate Agreement (BAA) with its LLM providers that enables utilizing PHI data within Hex Magic. Importantly, LLM providers do not retain any data submitted via Hex Magic.

Can I use my own OpenAI API key?

Yes, admins can specify their own OpenAI API key for Magic in the Magic settings page. Your API key will be used for all OpenAI API calls and OpenAI embedding requests made by Magic. Note that Hex does not take responsibility for any costs incurred by the API calls, and it's recommended to set up billing alerts to monitor usage.

How does Hex ensure accurate AI responses?

Hex enriches AI capabilities with semantic models that incorporate governed metrics and business logic for consistent, trusted answers. The platform uses metadata from dbt, data warehouses, and its integrated Data Manager to provide relevant context to LLMs. Additionally, admins can set AI workspace rules to improve AI responses by curating business-specific context, data conventions, and preferred practices.

Can I mark data as trusted?

Yes, admins and data teams can endorse trusted data and assets as vetted, helping both humans and AI get to the right answers every time.

What is Semantic Authoring?

Hex's Semantic Authoring feature, launched in beta around August 2025, allows teams to define measures, dimensions, and joins directly within Hex. This bridges the gap between raw data and business intelligence, making AI agents smarter and self-service analytics more reliable by building business context in the same place where analysis happens.

Who can access different features?

The Notebook Agent is intended for technical users who can audit the SQL and code that the agent suggests. The Modeling Agent can be used by users who can edit semantic models in Hex (Managers and Admins). The Context Studio is only accessible by Admins and Managers.

What determines plan availability?

Features may vary by plan and beta status.

Hex

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Hex uses AI to make data analysis easy for everyone. It lets you ask questions in simple language, and AI tools help find accurate, trusted answers. The platform combines powerful analytics with relevant business context, empowering your team to understand data and make smarter decisions quickly.

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Overview Features Use Cases FAQ Integrations Pricing

About Hex

Who It's For

Hex is designed for everyone in your company, from data experts to business teams. It helps anyone who needs to explore data, ask questions, and get trusted answers to make better decisions, without requiring deep technical skills.

What You Get

You get AI tools that simplify complex data analysis. Ask questions in plain language, and AI agents will help you build analyses, write code, and create visuals. Hex also ensures consistent, trusted answers by letting you define key business terms.

How It Works

Hex connects to your existing data. You simply ask questions in plain language, and AI agents work with you, suggesting analysis steps. The platform uses your business's specific context and rules to provide accurate AI responses and allows you to endorse trusted data for reliable insights.

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Features & Capabilities

🤖 AI-Powered Analysis & Context

Natural Language Query

Ask data questions and retrieve insights using everyday natural language.

AI-Powered Analysis Agents

Collaborate with intelligent agents to enhance and accelerate data analysis processes.

Trusted Context Curation

Curate business-specific context to ensure AI models provide accurate and relevant answers.

AI Workspace Rules

Define rules and preferred practices to improve the quality and consistency of AI responses.

📈 Advanced Analytics Platform

Advanced Analytics Notebooks

Utilize a powerful notebook environment designed for complex and novel data analysis.

Collaborative Analytics

Enable multiple users to work together in real-time on data projects and analyses.

Governed Self-Serve Analytics

Provide controlled access to data and analytical tools for self-service exploration across the organization.

Data Visualization

Transform raw data into interactive visualizations, dashboards, and custom data applications.

🔗 Data Modeling & Integration

Semantic Model Authoring

Create and manage standardized semantic definitions directly from existing analyses.

External Semantic Layer Sync

Import modeled data seamlessly from external semantic layers like dbt MetricFlow, Cube, and Snowflake Semantic Views.

Trusted Data Endorsement

Mark data and assets as vetted by data teams to guide users and AI to reliable information.

Reusable Components

Leverage pre-built data components to ensure consistency across projects and for AI agent use.

🔬 Specialized Data Science Capabilities

Data Clustering

Apply unsupervised machine learning to uncover patterns and group similar data without labeled examples.

Sentiment Analysis

Decipher subjective information in text to determine emotional polarity and subjectivity.

Time Series Analysis

Discover meaningful patterns and trends by visualizing and analyzing data collected over time.

Natural Language Processing (NLP)

Interpret, recognize, and generate human language for advanced AI and machine learning applications.

Use Cases

Enabling Conversational Self-Serve Data Exploration

Non-technical business users often face delays getting critical insights due to reliance on data teams. Hex allows them to ask data questions in natural language, leveraging AI agents to generate queries, code, and visualizations from trusted, governed data, enabling rapid self-serve analysis and quicker decision-making.

General EnterpriseFor: Business Analysts, Marketing Managers, Sales Operations, Product Managers

Boosting Productivity for Data Scientists and Analysts

Data professionals typically spend significant time on boilerplate coding, debugging, and initial data exploration, hindering deep analytical work. Hex's AI agents, including the Notebook Agent and Magic AI, automate code generation, debugging, statistical summaries, and exploratory analysis across SQL, Python, and R, allowing data scientists to focus on advanced modeling and problem-solving.

TechnologyFor: Data Scientists, Data Analysts, Machine Learning Engineers, Data Engineers

Governing Data & Business Logic for Accurate AI Insights

Inconsistent data definitions and lack of centralized business context can lead to unreliable data insights and inaccurate AI responses. Hex addresses this by enabling the creation and governance of semantic models directly within the platform, syncing with external semantic layers, and allowing endorsement of trusted data, ensuring AI agents and users operate on consistent, business-verified information.

Financial ServicesFor: Data Governance Teams, Analytics Leaders, Data Platform Managers, Business Intelligence Architects

Operationalizing Data Science Projects & Cross-Functional Insights

Often, valuable data science projects struggle to be fully operationalized or shared effectively across business units. Hex provides a collaborative environment where data teams and business stakeholders can work together, transforming data science initiatives into actionable programs and delivering centralized, interactive insights (like KPI dashboards) to drive decisions across departments from sales to customer experience.

B2B SaaSFor: Go-to-Market Leaders, Product Managers, Sales & CX Leaders, Data Science Teams

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