One permissions-aware search across company knowledge.

Company knowledge is fragmented across document libraries, collaboration tools, shared drives, databases, email, and legacy indexes. A useful enterprise search layer must reconcile different content structures, update schedules, identities, and permission models without erasing the boundaries that protect the source systems.

We build continuously synchronized indexes where data can move and federated discovery where it cannot. Users get one query surface while each result retains its source, access rules, and route back to the authoritative record.

• Connectors for SharePoint, Google Drive, OneDrive, Slack, email, S3, databases, websites, and existing indexes
• Hybrid retrieval for natural-language concepts, exact terms, numbers, names, and identifiers
• Permissions checked at query time and synchronized when source access changes
• Cited answers that open the relevant passage instead of returning an unexplained summary
• Federated discovery across divisions, partners, or enclaves without unnecessary data movement
• Usage, quality, and failed-query analysis to improve coverage after launch

Some questions need a ranked list of documents; others need a direct synthesis across several sources. We support both on the same retrieval foundation. The answer cites its passages, and users can fall back to the underlying results whenever the source context matters more than a summary.

This knowledge layer can also ground AI agents and applications, reducing duplicated ingestion and inconsistent permission behavior across separate projects.

A pilot should include representative repositories, real access groups, and a question set drawn from actual work. We measure whether the correct source was available, found, permissioned, and cited. That makes coverage gaps visible before the system expands to additional business units or corpora.