HyperArc is an AI-native business intelligence (BI) platform designed to deliver instant, reliable insights through natural language queries. Created by veterans of Tableau and Einstein Analytics, it eliminates the need for SQL skills, offering fast, secure, and auditable data analysis. The platform is built entirely with AI in mind, leveraging advanced features to enhance data interaction and exploration.
HyperArc automatically enriches tables with detailed metadata, annotating columns and generating editable descriptions to improve AI-driven interactions. Its statistical sampling capabilities further refine column context, enabling more accurate insights. The platform also incorporates AI-enhanced note-taking, learning from every query to refine its memory layer. It suggests queries based on past interactions and employs automated statistical kernels to facilitate math-ready large language model (LLM) prompts.
HyperArc introduces an "Agentic Exploration" feature, where its AI-driven Thinking Agent analyzes data using chain-of-thought reasoning. Users can audit and edit the agent's analysis plans, with insights reinforced by the platform's memory layer. The integrated Q&A functionality allows users to ask natural language questions, receiving answers rooted in truth and supported by citations. HyperArc can fetch data from external sources like Slack, Notion, and web searches, transforming answers into starting points for deeper exploration.
The platform is MCP-ready, enabling seamless integration with other AI workflows through its MCP server. It enhances analytics for all agents, automates ETL processes based on user queries, and integrates effortlessly with tools like Slack, Notion, and Jira. HyperArc is designed to empower teams with dynamic, AI-augmented data analysis capabilities.
