HyperArc is the first BI platform designed to serve as a member of your BI team, built from the ground up with AI in mind. It automatically adds rich context to your tables, enhances note-taking by learning from every query, and offers agentic exploration rooted in memory. HyperArc transforms your work with analytics excellence.
Free
How to use HyperArc?
HyperArc can be used to automatically annotate columns, create enhanced column metadata, and improve AI interactions with rich context. It tracks and learns from every query, suggesting queries based on memory and offering prompt-based analysis. The platform allows for agentic exploration and integrates with external sources for comprehensive analytics.
HyperArc 's Core Features
Automatically annotates columns and creates editable descriptions
Statistical sampling to create enhanced column metadata
Tracks and learns from every query for improved AI interactions
Offers agentic exploration rooted in memory
Integrates with external sources like Slack, Notion, and WebSearch
Empowers all of your agents with analytics
HyperArc 's Use Cases
Data analysts can leverage HyperArc for automated column annotations and enhanced metadata, saving time and improving accuracy.
BI teams can use HyperArc's AI-enhanced note-taking to track and learn from queries, optimizing their analytics processes.
Businesses can integrate HyperArc with existing tools like Slack and Notion for seamless analytics workflows.
AI developers can utilize HyperArc's MCP server to integrate analytics into other AI workflows, enhancing functionality.
Marketing teams can benefit from HyperArc's prompt-based analysis for quick insights and data-driven decisions.