Features
Natural language querying of databases
Context management suite (encode definitions, metrics, policies)
SQL pattern matching and validation
Semantic model alignment (metrics, dimensions, definitions)
Multi-source context ingestion (Notion, Slack, email, etc.)
Golden source verification (KPI-verified, SQL-matched, definition-applied)
Full data lineage tracking (source to model to metric to answer)
Usage signals (query frequency, dashboard integration)
Role-based access control (RBAC) and row-level security
Embeddable agent frontend
AI dashboards and email scheduling
Observability and evaluation suite
Model Context Protocol (MCP) integration
Credit-based consumption pricing
AI analyst answers natural-language questions
Managed Snowflake warehouse auto-syncs data
Pre-built ARR, pipeline, retention dashboards
Scheduled Slack push of key metrics
Writeback to CRM (Salesforce, HubSpot)
Infinity: no row limits on large datasets
Embed live charts in Notion or Coda
Forward Deployed Analyst for initial setup
Data refresh every 6 hours (Essential)
Unlimited viewers and editors on all plans
BI Spreadsheet with direct data connection
Dashboards backed by spreadsheet logic
Sales commission calculator
Customer cohort and retention analysis
Role-based access with SSO (Enterprise)
