Enables governed, agent-agnostic data exploration by allowing users to ask natural language questions through MCP-compatible agents, executing safe, permission-scoped queries against data sources and returning interactive charts.
Enables engineers and plant managers to interact with manufacturing systems using natural language, providing machine health analysis, KPI dashboards, predictive maintenance, and automated workflow execution via MCP.
Turns warehouse/lakehouse tables into a governed entity-relationship knowledge graph exposed through MCP, enabling AI agents to answer multi-table business questions without hard-coded SQL or large schema prompts.
Enables natural language interaction with enterprise tools including file, database, GitHub, Slack, browser, calendar, email, vector search, and Python calculation through OpenAI and MCP Client.