Hex

Ask data questions and retrieve insights using everyday natural language.

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

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

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

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

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

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

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

Create and manage standardized semantic definitions directly from existing analyses.

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

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

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

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

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

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

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