Do you have a discount for students and educators?

Yes! Students and educators at universities and bootcamps can access the Professional Plan for free by contacting support.

How do credits work for AI features?

AI features consume credits based on task effort. All paid plans include a monthly per-seat credit grant. Enterprise credit grants are custom.

How does Hex handle data security?

Hex is audited annually for SOC 2 Type II and HIPAA compliance. Enterprise offers features like BYOK, OIDC SSO, and single-tenant deployment.

What compute options are available?

Free plans include Small/Medium compute. Paid plans can add large CPU instances (up to 16 vCPU) and GPU instances (A10G, L4) on a pay-as-you-go basis.

Directory/Analytics/AI Assistants/Hex

Hex

Hex is a collaborative, AI-native analytics platform designed for data teams. It combines agentic notebooks, conversational analytics (Threads), and a visual app builder into a single workspace. Users can connect to their data sources, use an AI agent to write SQL/Python, create charts, and build interactive data apps with natural language. The platform emphasizes governance and trust through features like Context Studio, agent observability, and semantic models, enabling self-serve analytics for both technical and non-technical users across an organization. It targets data scientists, analytics engineers, and product teams needing to move from ad-hoc analysis to published, governed data products.

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Added on

Sep 19, 2026

AI AgentSemantic ModelsSQL/Python/RData AppsConversational BIPay-as-you-go ComputeSOC2/HIPAA

Product information

Everything worth knowing about Hex

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Agentic Data Notebooks

An AI agent that writes SQL, Python, and R code, builds charts, and chains complex analytical flows in a single workspace.

Conversational Analytics (Threads)

Ask natural language questions and get trusted answers, visualizations, and insights grounded in your organization's semantic models and context.

Interactive Data Apps & Dashboards

Build and publish beautiful, interactive data applications with filters, controls, and real-time collaboration. Users can start new analytical threads directly from the apps.

Context Studio & Agent Observability

Curate and manage the context (semantic models, guides, rules) the AI agent uses to ensure answers are trusted and accurate. Monitor agent conversations for quality.

Technical capabilities

Semantic Model Workbench

Define measures, dimensions, and logic in a governed, version-controlled format (YAML) that powers consistent analytics across notebooks and threads.

Pay-as-you-go Compute Profiles

Choose from a range of compute profiles, from free (Small/Medium) to paid large instances and specialized GPUs (A10G, L4), billed per minute of usage.

Extensive Data Connectivity

Connect to any data source with project-level and workspace-level connections, SSH tunneling, and OAuth database connections (Enterprise).

Must watch videos

Hex Engineering Podcast: Learning to Learn featuring Charlene

18:10

Tutorial18:10

Hex Engineering Podcast: Learning to Learn featuring Charlene

Listen to Charlene talk about how Hex's platform facilitates agents getting smarter, faster, and cheaper over time.

Hex Engineering Podcast: Giving the Hex Agent Superpowers

17:37

Tutorial17:37

Hex Engineering Podcast: Giving the Hex Agent Superpowers

Listen to Zach talk about how we build and guardrail the AI agents that power Hex.

Hex Engineering Podcast: Hex Agent in Slack

16:36

Tutorial16:36

Hex Engineering Podcast: Hex Agent in Slack

Listen to Megha talk about building the Hex Agent in Slack and meeting people wherever they're asking data questions.

Who uses it

Real use cases, no hype

Self-Serve Analytics

Empower non-technical users to ask data questions and get trusted answers via AI threads.

Data App Development

Build and publish interactive dashboards and reports directly from analysis notebooks.

Collaborative Analysis

Enable data teams to co-develop, review, and version complex analytical workflows.

Operational Reporting

Schedule and automate data app runs for regular business monitoring.

Data Science Prototyping

Rapidly prototype models and analyses with integrated Python, SQL, and AI assistance.

Governed Data Sharing

Embed trusted dashboards into team workflows like Slack or custom apps.

What's great

Unified workspace for SQL, Python, and data apps
Powerful AI agent for code generation and analysis
Beautiful, interactive dashboards from a single prompt
Strong collaboration and sharing features

Technical strengths

Semantic models for consistent business logic
Extensible with custom Docker images and compute profiles

Where it falls short

Can be expensive for teams at scale
Learning curve for advanced features like Context Studio
Free plan is very limited

Technical limitations

Advanced compute (GPU/Large) is pay-as-you-go extra cost
Enterprise features like SSO and audit logs require top-tier plan

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Anyone can try the Team plan free for 14 days, no payment card required. After the trial, you can choose a paid plan or be downgraded to the free Community plan.