Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve. 300+ enterprises — including JPMorgan Chase, Mastercard, General Motors, Zoom, and more — run on Atlan’s context layer for AI and analytics. Gartner named Atlan a Leader in both Data & Analytics Governance and Metadata Management in 2025–2026, and recently featured Atlan in its inaugural Hype Cycle for Agentic AI in the Context Graphs category.