Context Agents
by Atlan · Data and analytics · Singapore, Singapore
AI teammates that document tacit knowledge and make data AI-ready through context.
What Context Agents does
- Document tacit knowledge
- Generate descriptions for data assets
- Link business terms
- Surface business questions
- Generate metrics
- Produce semantic views
- Generate ontologies
What Context Agents is used for
- Automating documentation of data assets
- Scaling context development
- Making data understandable to AI systems
- Creating agent skills and procedural knowledge
Who Context Agents is for
- Finance
- Manufacturing
- Media
- Healthcare
- Retail
About Atlan
Enterprise data graph and context layer for AI agents and analytics.
Atlan in the vendor registry: its products, features and similar vendors.
Also by Atlan
- Enterprise Data Graph: Connects business systems and aggregates context across data estate into one living graph.
- Context Engineering Studio: Platform to bootstrap, test, and ship business understanding and ontologies for AI.
- Context Lakehouse: The first context store engineered natively for AI with Iceberg-native architecture and vector search.
- Data Marketplace: Marketplace for discovering and sharing data with business context.
- Atlan Data Catalog: Unified catalog of data assets, lineage and ownership
- Atlan AI: AI assistant for creating contextual descriptions of data
More in this category: Data and analytics platforms for financial services.
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Built by Vederca from public sources, last updated 2026-10-18.