Hex
hex.tech
Collaborative analytics and data science platform
Description
The AI Analytics Platform where trust meets insight · 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. · NexaCorp revenue trends by product line · Trusted by leading data companies · Trusted AI workflowsfor every data question
Hex is a cloud-based workspace for data analytics and science that enables users to connect to data sources, write SQL and Python code in a collaborative notebook interface, and build interactive data apps to share insights. It combines the power of code-based analysis with no-code app building and easy sharing capabilities.
Features
Natural Language Query
AI-Powered Analysis Agents
Trusted Context Curation
AI Workspace Rules
Advanced Analytics Notebooks
Collaborative Analytics
Governed Self-Serve Analytics
Data Visualization
Semantic Model Authoring
External Semantic Layer Sync
Use cases
DATA ANALYSIS AND EXPLORATION
DASHBOARD CREATION
PREDICTIVE MODELING
AUTOMATED REPORTING
COLLABORATIVE DATA PROJECTS
FAQ
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.
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.
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.
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.
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.
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.
No, Hex does not and will never sell customer data. The platform has industry-leading commitments to security and privacy.
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.
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.
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.
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.
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.
Specs
| Type | Agent |
| Section | Data & analytics |
| Pricing | has a free tier (от $0/mo) |
| Platform | Web only |
| Systems | web |
| Who for | Startup |
| Site language | en |
| Rating | 4.91 (11 reviews) |
| Views | 717 324 |
| Launched | 2024-09-12 |
