Atlas

Systems that store, index and retrieve information for AI applications. This includes vector databases, multimodel databases and retrieval engines built around semantic or hybrid search.

Infrastructure that helps AI agents retain, update and reuse information across interactions. These systems manage persistent memory and assemble relevant context when an agent needs it.

Infrastructure that converts proprietary documents and live enterprise data into AI-ready context. It handles parsing, extraction, transformation and continuous synchronization before the data…

Infrastructure that encodes business definitions, metrics, relationships, permissions and institutional knowledge into governed context that AI agents can retrieve and use to query enterprise data…

Infrastructure that continuously maintains derived data and operational state as underlying data changes. These systems use incremental computation or streaming updates so AI applications and…