Eigen X + Atlan

The context AI needs, across all platforms

Most enterprises are discovering that their AI models are smart, but they don't know anything about the business they're working in. Metadata, lineage, and institutional knowledge sit scattered across catalogs, wikis, and the heads of a few tenured employees, so an AI agent can generate an answer, but not one it can be trusted to act on. Eigen X implements Atlan to act as a living context layer for your data. Atlan connects the systems, definitions, and relationships that make up your business to create into an updated graph that both people and AI agents can draw on. Instead of AI operating on raw data alone, it operates with the same organizational understanding your best analysts carry, understanding what a metric means, where it comes from, and how it's meant to be used.

How Atlan Connects Across Platforms

A Valued Partnership

As a partner of Atlan, we have implemented the context tool within several projects across industries. By leveraging the power of our relationship with Atlan, our developers can guide you through best practices and can address and expedite issues with access to Atlan resources and solutions engineers.

Our Key Atlan Expertise

  • Atlan automatically pulls metadata from your warehouses, BI tools, transformation jobs, and observability systems into a single Enterprise Data Graph, rather than leaving each system to keep its own disconnected record. That graph stays current on its own, so your organization always has an accurate picture of what data exists, where it lives, and how it connects, without a team manually maintaining a catalog by hand.

  • Search across every connected source from one place, filtered by ownership, certification, or lineage, with an AI-powered assistant and visual query builder to help teams find the right dataset without needing to know exactly where to look. Sensitive data classification, granular access controls, and enforceable data contracts keep that same visibility from coming at the expense of security or compliance.

  • End-to-end lineage tracing shows exactly how a piece of data moved and transformed on its way to a report or model, so teams can trace a number back to its source instead of taking it on faith. Atlan's data products framework then packages related assets into governed, reusable units, making it easier to manage and share data as an organized product.

  • Atlan exposes governed metadata to AI tools through Model Context Protocol support, so agents work from the same verified definitions and lineage your analysts rely on rather than guessing at meaning. Context Agents Studio and Context Engineering Studio let your team scale that enrichment and define the business logic AI agents should follow, turning institutional knowledge into context your AI can act on safely.