Features
Autonomous data warehouse documentation and cataloging
Anomaly detection and data quality issue identification
Natural language query interface for business users
AI agents for SQL optimization and dbt transformations
Multi-dimensional metric validation and reconciliation
Automated lineage mapping and relationship discovery
Read-only warehouse connection with no schema modification
Collaborative governance with role-based access
Traceable AI actions with exploration logs and SQL review
Self-hosted/private cloud option for Enterprise
AI credits system for hosted AI mode
MCP (Model Context Protocol) API support
30-day pilot with workshops included
Advanced use cases: logistics, retail, finance, ESG, and more
Natural language AI writes Python, SQL, formulas, charts
Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
MCP support for AI agents (Claude, Cursor, ChatGPT)
API for reading/writing cells and triggering AI runs
Import CSV, Excel, PDF, Google Sheets
Scheduled tasks for automated data refresh
Conditional formatting and merged cells
STOCKHISTORY function for financial data
Images and embeds in spreadsheets
AI-generated code with explanations that are editable
Collaborative sharing with repeatable insights
Folders for organizing files
Python, SQL, JavaScript, and formula cells
Agent Sync to link apps and APIs into spreadsheets
SOC 2 and HIPAA certified
