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Hex

Hex AI Agent
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Overview

A collaborative data workspace integrating SQL, Python, and no-code tools to streamline data analysis and visualization.

Hex is a modern platform that unifies data workflows by combining the functionalities of traditional data science notebooks with collaborative features. It supports multiple programming languages, including SQL and Python, and offers no-code options, enabling users to perform data exploration, analysis, and visualization within a single environment. Hex's AI-powered assistance aids in generating queries, writing code, and creating visualizations, enhancing productivity and facilitating seamless collaboration among data teams.

Product overview

Capabilities, pricing and fit

Hex is best understood as a document and data analysis product. Finally — anyone can get data insights grounded in the facts of their business. Hex has a flexible approach to context that earns trust without slowing you down.

Information as of July 30, 2026

What it can do

  • Document and data analysis

    Finally — anyone can get data insights grounded in the facts of their business. Hex has a flexible approach to context that earns trust without slowing you down.[1]

Where it fits best

  • Conducting data analysis and visualization using SQL, Python, or no-code tools.[1]
Sources (1)
  1. The AI Analytics Platform where trust meets insightOfficial site · checked 2026-07-30

Autonomy level

61/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Preserve the existing editorial 61 for configured connected-data workflows in Hex: agents and SQL/Python notebooks assist multi-step query, analysis, visualization and app creation. People provide goals, authorize data, inspect code/results and approve consequential distribution or operational use. The score describes bounded workflow independence ...

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Some of the use cases of Hex:

  • Conducting data analysis and visualization using SQL, Python, or no-code tools.
  • Collaborating in real-time with team members on data projects.
  • Creating and sharing interactive data applications and reports.
  • Leveraging AI assistance to generate code and visualizations efficiently.

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Popularity level: 83%

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For business intelligence consultancies

Carry the analytical notebook through to client handover.

Coordinate sources, report requirements, stakeholder comments and delivery follow-ups around the analysis your consultancy produces.

  • ✓ Source and measure reconciliation
  • ✓ Report build and refresh coordination
  • ✓ Stakeholder delivery and exception closure
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Tailored starting setup. Chat on our site. See the workflow and monthly plan.

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