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Collate AI

Collate AI brings generative AI to metadata management, making it effortless to document data assets, generate and optimize SQL, and explore data using simple language. It boosts productivity by automating routine workflows and empowering all users from analysts to engineers to get more value from their data.

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Key Features

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AskCollate

An AI agent that provides conversational analytics and data management capabilities built upon Collate’s Knowledge Graph.
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AI Studio

Create and manage AI agents and personas to automate metadata discovery, governance reviews, and data quality workflows.
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Collate AI Documentation Agent

Automate description generation based on the context of your data.
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Collate AI Tier Agent

Classify business-critical data assets by usage & impact.
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Collate AI Quality Agent

Automatically create Data Quality tests to ensure health and stability.
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Collate AI SQL Agent

Understand and optimize the queries running in your sources.
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Autopilot

Streamline metadata ingestion capabilities for every service in your Data Platform.
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MCP Server

An embedded, secure and enterprise-ready MCP server to bring metadata context to your AI agents.
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Slack Integration

Interact with Collate AI directly from Slack — search assets, receive notifications, and collaborate with your team.
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Microsoft Teams Integration

Bring Collate AI into Microsoft Teams — get data insights, notifications, and asset sharing without leaving your workspace.
Examples:
  • Tables owned by marketing – Shows all assets owned by the marketing team.
  • Tables with Tier 1 classification – Lists all Tier 1 classified assets.
Click the icon again to switch back to standard search.

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Why Collate AI

Data only gains value when it is contextualized within your organization and your business. This requires understanding not only the data, but how the data is being used by different user personas, who owns it, and what is the business impact of each specific asset.Collate manages a Unified Knowledge Graph encompassing both your data and your organization’s semantics, which is the foundation to let your teams scale with your data by bringing automations and bridging the gap between people and data.