HyperArc is a Business Intelligence (BI) platform designed to function as an AI-powered extension of your analytics team. It focuses on enhancing data exploration and insight generation through AI-driven features.
Key features include:
- AI Augmented Context: Automatically annotates columns and creates editable descriptions, using statistical sampling to enhance column metadata.
- AI Enhanced Note Taking: Tracks and learns from user queries, suggesting queries based on memory and providing automated statistical kernels for math-ready LLMs.
- Agentic Exploration: Employs a HyperArc Thinking Agent to analyze data, rooted in memory, allowing users to audit and edit the agent's plan.
- HyperArc Q&A: Enables natural language questions to be answered with citations, fetching data from external sources like Slack, Notion, and WebSearch.
- MCP Ready: Integrates with other AI workflows using the MCP server, empowering agents with analytics and improving ETL processes based on queries.
Use cases:
- Automated data annotation and description.
- AI-driven query suggestions and statistical analysis.
- Agent-based data exploration and insight generation.
- Natural language question answering with data citations.
- Integration with existing AI workflows and tools.
