Atlan

Governance framework for managing AI systems and ensuring responsible AI deployment across the enterprise.

Framework for building custom applications within Atlan to extend platform capabilities and create tailored business solutions.

AI copilot for data teams that provides natural language lineage summaries, auto-generates SQL, and auto-documents business assets across data catalogs and tools.

AI feature that creates descriptions and READMEs for business terms and BI dashboards automatically in seconds, reducing manual documentation burden.

AI capability that automatically generates SQL queries based on natural language questions, allowing users to focus on asking the right questions.

Browser extension that embeds Atlan AI into tools teams use daily, enabling inline documentation and data discovery capabilities.

Integration layer that connects Atlan to various business systems and data sources to enable unified data context across the enterprise.

AI teammates that document tacit knowledge and make data AI-ready through ontology, descriptions, metrics, quality, glossary, and README capabilities.

Allows users to bootstrap, test, and ship business understanding needed for AI, supporting deployment to Cortex, Genie, Claude, and Codex.

The world's first context store engineered natively for AI, featuring Iceberg-native open formats, graph+file architecture, and vector-native AI search.

Active data governance platform that enables organizations to manage, document, and ensure quality of data assets across the enterprise.

Tracks and visualizes data lineage across systems to show how data flows and transforms through the organization.

Provides humans with context needed to understand the business across Slack, Teams, Claude, and ChatGPT, enabling discovery and understanding of data assets where teams work.

Connects all business systems and pulls context across the data estate into one living graph, providing a unified view of data relationships and dependencies.

AI feature that simplifies complex SQL transformations into natural language, saving time for data analysts by automatically summarizing data lineage.

Embeds Atlan AI into tools users love, allowing them to request descriptions and create aliases for dashboards within dbt and BI tools.

AI copilot for data teams that provides natural language lineage summaries, auto-generates SQL, and auto-documents data assets and business definitions.

Model Context Protocol server that makes certified enterprise context available to AI agents and tools via standardized interface, enabling agents to access unified business definitions, lineage, and access policies.

AI-powered capability that reads the Enterprise Data Graph to automatically generate asset descriptions at scale across data warehouses, BI tools, and pipelines.

Model Context Protocol server that enables AI agents and tools to access production-ready context through a standardized protocol, with support for evals, traces, and feedback loops.

AI-powered tool that automatically surfaces and generates business metrics from the Enterprise Data Graph, making metrics discoverable and connected to underlying data.

AI capability that automatically generates business ontology by analyzing the Enterprise Data Graph, creating semantic maps of entities, metrics, and relationships.

AI capability that automatically links business terms to data assets by analyzing SQL history and BI semantics across the enterprise data graph.