vault ai

It creates an air-gapped or self-hosted knowledge base from uploaded documents (PDFs, Word files, spreadsheets, and text) and allows users to ask natural language questions that are answered with citations pointing to specific source passages, maintaining full traceability for every AI-generated response.

The platform supports both local LLM deployments (via Ollama or similar runtimes) and private cloud API configurations, giving organizations control over where their data is processed.

Document access is managed through role-based permissions, ensuring that queries are scoped to the document sets a given user is authorized to accessa critical requirement for organizations managing legally sensitive, proprietary, or personally identifiable information across departments with different clearance levels.

Legal teams, compliance departments, investment research groups, and enterprise knowledge management teams use Vault AI to make institutional document knowledge queryable without the security risks of uploading contracts, research reports, or internal policies to third-party AI services.

The citation-backed response format is particularly important in professional contexts where answers must be verifiable against source material rather than generated from model weights alone.

Its private deployment model positions it as an alternative to enterprise offerings from Microsoft (Copilot) or Google (NotebookLM) for organizations with strict data residency requirements.