CHANGELOG

Data Catalog

Added Data Catalog sync.

Value: Centralizes models, metrics, dashboards, and metadata from all your data stack so agents use the same governed definitions your team relies on.

Looker Integration

Added Looker integration.

Value: Reuses any Looker and LookML definitions for reducing duplication and letting agents answer questions using trusted BI logic.

AI Assistant

Improved the Studio AI Assistant.

Value: Easier than ever to bootstrap your agents, using AI, instead of writing manual YAMLs and definitions.

SSO Support

Added SSO with SAML/SCIM.

Value: One place to manage users and enforce access policies, reducing manual admin and mistakes.

Bring Your Own Cloud

Added full BYOC deployment.

Value: Keep all data and workloads inside your own environment, meeting strict security and compliance requirements.

Verification Layer

Added a governed verification layer.

Value: Agents only answer when context is valid, improving trust and preventing silent hallucinations.

Multiple Agents

Added support for multiple domain-specific agents in one workspace.

Value: Teams can scale agents across domains while reusing context and maintaining consistent governance.

Observability

Added monitoring for unanswered questions, context gaps, accuracy, and runtime performance.

Value: Clear visibility into what works, what fails, and what to improve, making agents easier to maintain and expand.

4 New Integrations

Added native connectors for Redshift, PostgreSQL, ClickHouse, and MySQL.

Value: Easier ingestion from the major warehouses and operational databases you already rely on.

Git Based Studio

Added the Agent studio, a code-first YAML workspace for defining models, glossaries, BI references, and agents.

Value: Centralizes all analytical context in one place, version-controlled and structured, so teams can build and maintain agents with clarity and control.

SOC2 Compliance

Achieved SOC2 Type II compliance.

Value: Meets enterprise security requirements and shortens procurement cycles for regulated teams.

Unstructured Data Analysis

Added support for analyzing unstructured data at scale.

Value: Lets agents provide insights by analyzing text-based sources (tickets, notes, logs, feedback).

Chat Functionalities

Added new chat capabilities.

Value: Makes it easier to collaborate on analysis and operationalize recurring insights.

• Share chats with the team
• Schedule chats to run daily/weekly/monthly and send results to Slack

Slack Integration

Added Slack integration.

Value: Receive agent insights directly where teams work, reducing friction and increasing adoption.