# Atlan — The Context Layer for AI > Atlan is the Context Layer for AI: the governed infrastructure between your data stack and your AI systems. Enterprise AI doesn't fail because of the model — it fails because of missing context. Atlan builds the Enterprise Data Graph, a living metadata foundation that unifies 80+ sources with column-level lineage, and serves that context to every AI agent, workflow, and human that needs it. Trusted by Nasdaq, Autodesk, GitLab, and 500+ enterprise data teams globally. For the complete index of every page, see https://atlan.com/sitemap.xml. ## What is the Context Layer - [Context Layer for AI](https://atlan.com/context-layer/): Atlan's definitive explanation of the Context Layer — the governed tier between your data and your AI that makes enterprise models trustworthy, grounded, and auditable. - [Enterprise Context Layer](https://atlan.com/know/enterprise-context-layer/): Atlan's knowledge hub on the enterprise context layer — how it works, why it matters, and how modern data teams build one. - [Enterprise Data Graph](https://atlan.com/know/enterprise-data-graph/): How Atlan's Enterprise Data Graph works — unifying metadata from 80+ sources with column-level lineage into a governed, queryable context store AI agents can use at runtime. - [Atlan homepage](https://atlan.com/): Atlan's product overview — the Context Layer for AI, the problem of missing enterprise context, and the Enterprise Data Graph that solves it. ## Product Atlan's Context Layer is built on the Enterprise Data Graph — a living foundation unifying metadata from 80+ sources with column-level lineage across the data estate. The products below turn that graph into context every AI agent, application, and human can use. - [Context Agents](https://atlan.com/context-agents/): Atlan's AI teammates that write, maintain, and evolve tacit knowledge — ontology, descriptions, data quality metrics, glossary, and READMEs — making enterprise data AI-ready in 30 days. - [Context Engineering Studio](https://atlan.com/context-engineering-studio/): Atlan's studio where humans and AI build the shared world model enterprise AI requires — bootstrap, test, and ship context to Cortex, Genie, Claude, or Codex from one interface. - [Context Lakehouse](https://atlan.com/context-lakehouse/): Atlan's context store engineered natively for AI — Iceberg-native, open formats, graph-plus-file architecture, vector-native AI search. - [MCP Server](https://atlan.com/mcp-server/): Atlan's Model Context Protocol server — connects AI agents directly to the Enterprise Data Graph so LLMs can query lineage, glossary, and data quality at runtime. - [Data Marketplace](https://atlan.com/data-marketplace/): Atlan's self-serve discovery layer — business users find, understand, and request certified data assets with full context, inside Slack, Teams, or any AI assistant. - [Data Lineage](https://atlan.com/data-lineage/): Atlan's column-level, end-to-end lineage — the lineage backbone of the Enterprise Data Graph. - [Connectors & Apps](https://atlan.com/connectors/): Atlan's 80+ connectors that pull metadata from every business system into the Enterprise Data Graph. ## Customer Stories - [CME Group](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/): How CME Group built context at speed across its data estate using Atlan's Context Layer. - [DigiKey](https://atlan.com/regovern-watch-center/digikey-context-readiness/): How DigiKey achieved AI-readiness by building context with Atlan before deploying production AI systems. - [Virgin Media O2](https://atlan.com/regovern-watch-center/virgin-media-o2-context-for-all/): How Virgin Media O2 made governed context available to every team using Atlan's metadata infrastructure. - [Workday](https://atlan.com/regovern-watch-center/workday-context-as-culture/): How Workday embedded context into its data culture with Atlan's Context Layer platform. - [Mastercard](https://atlan.com/regovern-watch-center/mastercard-context-by-design/): How Mastercard built context by design as a foundation for enterprise AI, powered by Atlan. - [General Motors](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/): How General Motors connected contracts, data governance, and operational context using Atlan. ## Analyst Recognition - [Gartner Magic Quadrant 2026](https://atlan.com/gartner-magic-quadrant-data-governance-2026/): Atlan named a Leader in the 2026 Gartner® Magic Quadrant™ for Data & Analytics Governance Platforms. - [Forrester Wave Q3 2025](https://atlan.com/forrester-wave/): Atlan named a Leader and Customer Favorite in The Forrester Wave™ Data Governance Solutions, earning the highest score in 15 criteria. ## Learn - [Product documentation](https://docs.atlan.com/): Official Atlan docs — connector setup, governance APIs, Context Agent configuration, and how-to guides for administrators and data engineers. - [Resources hub](https://atlan.com/resources/): Atlan's library of guides, ebooks, and frameworks on context engineering, AI governance, and data readiness. - [Context & Chaos](https://atlan.com/context-and-chaos/): Atlan's practitioner series — deep-dives on context layers, ontologies, and building AI-native data infrastructure in the enterprise. - [CIO's Guide to Context Graphs](https://atlan.com/resources/cio-guide-to-context-graphs/): Atlan's executive guide on why context graphs are becoming core AI infrastructure — for data leadership and CTOs. - [Context Layer Readiness Assessment](https://atlan.com/context-layer-readiness-assessment/): Atlan's self-assessment for measuring an organization's context-layer readiness before AI deployment. ## Brand Guidelines The living reference for Atlan's visual identity. Every guidelines page has a Markdown twin — fetch the .md URLs below for clean, agent-readable content without site chrome. The complete set in one file: https://atlan.com/llms-full.txt - [Brand overview](https://atlan.com/brand.md): Index of Atlan's brand guidelines — logo, color, typography, iconography, and motion. - [Logo](https://atlan.com/brand/logo.md): Primary logotype, favicon, clearspace, QR codes, incorrect usage, and partnership lockups. - [Color](https://atlan.com/brand/color.md): Primary, secondary, tertiary, and neutral palettes, print values, pairings, and application examples. - [Typography](https://atlan.com/brand/typography.md): Funnel Display for headlines, Inter for everything else — the 2026 type scale. - [Iconography](https://atlan.com/brand/iconography.md): Rounded-stroke icon style, core color combinations, and specs. - [Motion](https://atlan.com/brand/motion.md): The choreography system — principles, easing curves, typographic animation, dynamic backgrounds, and logo animation. ## Company - [About Atlan](https://atlan.com/about/): Atlan's company mission, origin story, and team — building governed AI infrastructure for modern data teams. - [Newsroom](https://atlan.com/newsroom/): Atlan's press releases, funding announcements, and product launch news. - [Partners](https://atlan.com/partners/): Atlan's technology and solution partner ecosystem. - [Careers](https://atlan.com/careers/): Open roles at Atlan. ## Optional - [Talk to sales](https://atlan.com/forms/talk-to-sales-contact/): Contact Atlan's team to discuss enterprise deployment. - [Demo hub](https://atlan.com/demos/): Atlan's interactive and on-demand demos — context agent workflows, lineage exploration, and AI-ready data. - [Context Layer demo](https://atlan.com/context-layer-demo/): Focused demo of Atlan's Context Layer for AI. - [Context Agents demo](https://atlan.com/context-agents-demo/): Focused demo of Atlan's Context Agents. - [Context Engineering Studio demo](https://atlan.com/context-engineering-studio-demo/): Focused demo of Atlan's Context Engineering Studio.