Unify your enterprise content into a single, governed foundation that AI can actually reason over.

How an Agentic Knowledge Layer removes the infrastructure, governance and data fragmentation barriers that hold enterprise AI back.
Why Enterprise AI Initiatives Stall
What Changes with the Right Foundation
Unstructured content is scattered across SharePoint, Google Drive, PDFs and systems of record, making accurate AI answers impossible
A single, continuously synced knowledge foundation ingests across 60+ formats, along with every source AI needs to reason over
Each new AI initiative forces a bespoke build, resetting the data foundation and slowing the roadmap
One knowledge layer supports every AI use case (search, assistants, automation and more) with no redundant pipelines or rebuilds needed
Hallucinations, missing citations and unverifiable answers prevent adoption in regulated or mission-critical workflows
Every response is sourced, cited and audit-logged, giving IT the accountability needed to deploy AI with confidence
Gives employees instant answers from across SharePoint, Google Drive and internal systems without opening a new ticket.
Powers customized AI assistants for HR, legal and finance teams from one governed knowledge layer, no redundant builds required.
Resolves common requests automatically by surfacing the right answer from SOPs and support docs before a ticket is created.
The features behind a scalable enterprise AI strategy.
Unified, governed retrieval foundation that powers every AI use case from a single, continuously updated knowledge base
Ingests from SharePoint, Google Drive, business apps, PDFs and video so AI always works from your most current content
Continuously assesses answer accuracy, groundedness and relevance before AI outputs reach your users
Works with the infrastructure your IT team already manages.
Launch grounded, agent‑driven AI experiences faster—without managing retrieval infrastructure.