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
Write, fix, and explain formulas from plain language
Clean and standardize messy data
Split, merge, and reorganize columns and rows
Remove duplicates and validate values
Apply formatting and conditional formatting
Build pivot tables and charts
Bulk content generation and rewriting
Bulk translation and localization
Bulk categorization, tagging, classification
Bulk extraction from unstructured text
Bulk data enrichment and web research
Bulk fuzzy matching and deduplication
Bring your own AI API key (BYOK)
Zero Data Retention (ZDR)
