Mohtawa Plus
Central management and preservation of archives and documents — made available and circulated in compliance with National Center for Documents and Archives regulations and international archiving standards, and turned into a knowledge platform by AI that builds a central RAG language model across the organization’s content.
A content platform that has been in continuous development since 2002.
Mohtawa Plus manages and preserves the archive centrally, then makes it retrievable. The AI layer builds a central RAG language model over all of the entity’s content and data, providing a Co-Pilot-like search service across the whole estate.
Built to the national archival framework, not adapted to it.
The platform follows the procedures, policies and guides of the National Center for Documents and Archives, alongside international standards for records management and open archival description.
What the platform does.
Several interlinked archival subsystems, driven by AI, running on the national collaborative cloud or entirely on-premise.
Six subsystems under one platform.
Each subsystem handles a distinct class of institutional material, and all of them share the same description, governance and retrieval layer.
Standards the platform is built to.
Technical environment.
Deployed where your governance requires.
The platform runs on the national collaborative cloud or entirely within your own environment.
See it against your own content.
Bring a real document set and a real governance constraint. We will show you what the platform reads from it, and where that processing runs.