Self-hosted document workspace
Knowledge & Document Software · Document Intelligence / RAG Workspace
Putting document extraction, cited RAG and AI writing inside a self-hosted workspace
The product is a self-hosted document and knowledge platform where users can process documents, extract structured information, retrieve knowledge through citation-backed RAG and use AI-assisted writing tools inside a deployment environment they control.
Document Intelligence / RAG Workspace
Knowledge Workspace
Where knowledge is organized and retrieved.
- Document processing and extraction
- Citation-backed RAG
- AI writing and grammar
- Self-hosted controlled deployment
Role-controlled access inside a self-hosted boundary.
The starting point
Organizations need AI over their private documents without handing them to a generic external assistant.
What had to change
Processing, retrieval and writing had to work together inside a controlled workspace.
What couldn't break
Authentication and document access boundaries had to carry through into retrieval.
Why this was hard
RAG quality depends on access control, citations, storage and deployment all lining up.
What Datics changed
Datics built a self-hosted workspace covering processing, extraction, cited retrieval and writing.
Document processing and extraction
Documents ingested and structured.
Citation-backed RAG
Retrieval that shows where an answer came from.
AI writing and grammar
Writing assistance inside the workspace.
Self-hosted controlled deployment
Runs inside the customer's own boundary.
How it works
Connects to: The workspace's own document and knowledge stores.
- 1
Document Processing
Where documents are ingested and extracted.
- 2
Knowledge Workspace
Where knowledge is organized and retrieved.
- 3
AI Writing
Where users draft with AI assistance.
Runs within: Role-controlled access inside a self-hosted boundary.
What changed
Extraction, retrieval and writing run over the organization's own documents inside a workspace it controls.
- Deployment
- Self-hosted workspace
- Retrieval
- Retrieval with citations
- Scope
- Extraction, retrieval and writing in one product
Under the hood
- Datics role
- AI and full-stack product engineering.
- Integrations
- The workspace's own document and knowledge stores.
- Deployment
- Self-hosted, containerized deployment.
- Production boundary
- Role-controlled access inside a self-hosted boundary.
Technology
What this unlocked
The same permission-aware retrieval foundation can support deeper organizational knowledge workflows while keeping deployment under customer control.
Related work
Governed AI verification platform
Knowledge & Document Software · Governed AI / Verification Platform
Building verifiable AI with provenance, truth tiers and mandatory audit gates
AI content made traceable, classified, verified and audit-gated before publication.
Claim verification product
Knowledge & Document Software · Claim Verification / NLP Platform
Turning free-form claims into structured semantic units for verification
Claims decomposed through a 114-token ontology combining rules, embeddings, retrieval and LLM reasoning.
White-label dealership sales AI
Automotive & Dealerships · AI Sales & Conversational Commerce
Turning dealership conversations into qualified leads and appointments
Inventory-grounded AI conversations that connect directly to dealership lead, CRM and appointment workflows.
Have a product with the same kind of constraints?
Tell us what already exists and what you want it to do. We will tell you what it takes.