Supported content ingestion
Bring in text, PDF with readable text, email, Outlook attachments, RTF, EPUB, OpenDocument and Office files.
AI knowledge management
Make organisational knowledge easier to find, reuse and govern
Pūnaha prepares supported documents and email for semantic and hybrid retrieval, then makes that knowledge available to people and versioned AI workflows.
Organisational sources
Searchable knowledge
People + workflows
Knowledge foundation
Prepare useful context for people and AI
Tenant-aware stores
Maintain separate knowledge databases for different tenants and operational settings.
Semantic and hybrid retrieval
Find material through meaning, exact language or a combination suited to the use case.
Workflow reuse
Use approved knowledge as context in different workflows without tying it to a single model.
A practical distinction
Searchable does not automatically mean authoritative
Technology can retrieve content. The organisation still decides which sources should guide a process.
A useful implementation identifies source owners, currency expectations, access boundaries and the workflows allowed to use each collection.
Pūnaha provides the retrieval and workflow building blocks. Governance decisions remain visible responsibilities rather than hidden assumptions.
Ownership
Know who is responsible for the source and its quality.
Currency
Set expectations for when important content should be reviewed.
Permitted use
Decide which people and workflows may use each knowledge collection.
AI knowledge management questions
Is Pūnaha a document management system?
Pūnaha focuses on making supported content searchable and useful to AI workflows. It is not presented as a replacement for every source system or records management responsibility.
What content types are supported?
Supported extraction includes text, PDFs with readable text, email, Outlook attachments, RTF, EPUB, OpenDocument and Office files. OCR for image-only PDFs is not currently claimed.
Can the same knowledge work with different models?
Yes. Knowledge retrieval and model deployments are separate workflow concerns, allowing a workflow to use the model selected for that task.
Explore a knowledge problem from your organisation
Bring the source types, search questions and workflow outcome you want to evaluate.