Features
Autonomous data cataloging (schema reverse-engineering)
Data quality detection and prioritization
Natural language querying for business users
AI agents for SQL optimization
AI agents for dbt transformations
Trust metrics and lineage for query results
Anomaly detection in data and queries
Searchable catalog with business context
Warehouse cost optimization analysis
Zombie/deprecated table identification
Role-based governance with read-only access
Traceable AI actions with exploration logs
Multi-source support (Snowflake, BigQuery, Postgres, etc.)
MCP (Model Context Protocol) integration
30-day pilot program with onboarding workshops
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
