NowApr 2026

Generally available - production-grade.

  • AI Data Analyst Agent: plain-language → governed SQL with full reasoning chain
  • 16+ data sources: Snowflake, Databricks, BigQuery, Redshift, Postgres, MySQL, more
  • Compile-time governance: RBAC + ABAC + row/column-level predicates
  • Semantic Studio: visual editor for the versioned semantic graph
  • Autonomous maintenance: drift detection, conflict resolution, schema-change handling
  • Point-in-time reproducible audit log for every query
Next6 months

Federated governance & hybrid deployments.

  • Federated semantic governance across multiple business units & subsidiaries
  • Hybrid cloud support: shared, dedicated, or fully private deployments on AWS, Azure, GCP
  • SCIM provisioning & advanced SSO (Okta, Azure AD, Google Workspace)
  • Compliance packs: SOC 2 Type II, HIPAA-aligned deployments, regional data residency
  • Public benchmarks for compile-time policy evaluation at 100K+ entity scale
Later12 months

AI Data Engineer Agent & marketplace.

  • AI Data Engineer Agent: automated data ingestion, ETL, and orchestration
  • Expanded marketplace integrations: dbt, Atlan, Confluence, Notion, Slack apps
  • Custom dialect adapter SDK for in-house engines
  • Real-time semantic streaming for event-driven AI agents
  • Native MCP server for AI agents and copilots
Beyond24 months

The default semantic layer for GenAI.

  • Colrows as the default semantic execution runtime across enterprise AI deployments
  • Open semantic interchange - portable graph format across vendors
  • Cross-enterprise federated reasoning under data clean-room policy
  • Industry-specific reference graphs (BFSI, healthcare, retail, manufacturing)

Tell us what you need.

If something on your wishlist isn't on the roadmap, send us a note. The most-requested items get prioritised.