Atlan

The Context Layer for AI

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Description

Atlan delivers a unified context layer for enterprise AI, bridging the gap between business systems and AI agents. By connecting lineage, business definitions, data quality, and institutional knowledge from across an organization, Atlan creates a dynamic context store that every AI tool and analyst can access in real time.

The platform automates documentation, ontology management, and semantic mapping across the data estate, ensuring AI agents operate with trusted, certified information. Atlan's open, portable architecture integrates with over 80 enterprise systems, driving better decision-making, compliance, and operational efficiency across industries.

Key Features

Enterprise Data Graph: Integrates business systems and data into a unified, living graph.
80+ Connectors & Apps: Pulls metadata, lineage, and semantic data from warehouses, BI tools, and applications.
Data Lineage: Tracks and visualizes the flow and transformation of data assets across the enterprise.
Context Agents: AI-powered agents that document, link terms, and generate descriptions to make data AI-ready.
Context Engineering Studio: Provides tooling to bootstrap, test, and deploy business understanding across AI tools.
Context Lakehouse: An Iceberg-native, open-format context store designed for scalable, AI-driven operations.
Ontology and Semantics Management: Maps business entities, metrics, and relationships for organizational clarity.
Data Marketplace: Facilitates easy, governed data access across teams and tools.
Open APIs & MCP Server: Enables integration with various AI agents and downstream applications.
Governance and Certification: Human-in-the-loop workflow certifies trusted, production-ready context.

Use Cases

Enable AI agents to access unified enterprise business context.
Automate data lineage and metadata documentation.
Accelerate AI project deployment with pre-built context layers.
Enhance data governance and regulatory compliance.
Centralize business knowledge for analytics and reporting.
Facilitate onboarding of new AI agents with institutional knowledge.
Integrate and propagate business definitions across AI stacks.

Frequently Asked Questions

What is Atlan?

Atlan is the context layer for enterprise AI, connecting data lineage, business definitions, process knowledge, quality scores, and access policies across business systems into a unified context store for both agents and analysts.

What does Atlan do for enterprise AI?

Atlan provides every AI agent with the business context it needs, including definitions, lineage, and access policies, enabling traceable, compliant, and accurate AI outputs.

Which enterprise systems does Atlan connect to?

Atlan natively connects to over 80 enterprise systems such as Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI, and Postgres, as well as catalogs like Microsoft Purview and Snowflake Horizon.

How does Atlan work with AI agents?

AI agents access enterprise context through Atlan’s MCP server, SQL interface, and open APIs, which provide the data graph, business definitions, lineage, and access policies needed for specific tasks.

How does the context pipeline work?

The Atlan context pipeline consists of four stages: unify metadata from connectors, enrich with context agents, certify with human experts, and activate context to every agent and tool through open interfaces.