What is Atlan?
Atlan is the context layer for data and AI. It gives data teams and AI agents a single place where metadata, semantics, lineage, and business knowledge come together—so both humans and agents can find, understand, and act on data with confidence.
What Atlan does
Connect your data ecosystem
Atlan crawls metadata from the tools your team already uses—data warehouses, BI platforms, transformation tools, observability systems, and more. Metadata flows into Atlan automatically, so your catalog stays current without manual upkeep.
Key capabilities: lineage, data products
Help your team find and trust data
Search across all connected sources, filter by certification, owner, or lineage, and get the context needed to act on data with confidence.
Key capabilities: discovery and search, Visual Query Builder, Atlan AI
Govern data at scale
Build and enforce governance policies without creating bottlenecks. Tag sensitive data, control access at a granular level, define data contracts, and automate metadata enrichment with playbooks and AI.
Key capabilities: tag sensitive data, access control, data contracts, playbooks
Power AI agents with governed context
Atlan is the layer between your data estate and your AI. Expose governed, business-ready context to any AI tool via MCP, enrich metadata at scale with Context Agents Studio (Private Preview), and use Context Engineering Studio to bootstrap, test, and ship the business understanding every agent needs.
Key capabilities: Conversational AI, Context Agents Studio, Context Engineering Studio, MCP integrations
How teams use Atlan
- FOX: 9x improvement in AI use case accuracy using Context Engineering Studio
- Unilever: analyst teams shipped 100+ additional data projects per quarter