A fully air-gapped, self-hosted assistant that answers questions over your private files. It runs entirely on local hardware, with no internet connection, no API calls, and no data ever leaving the building.
A one-minute introduction to private, air-gapped AI, and why your most sensitive documents never have to leave the building.
Runs entirely on your own hardware, with nothing leaving the building
Access control is enforced at the tool layer, not in a prompt. Every result is filtered by role and ownership before it ever reaches a language model, so the model physically cannot leak what it isn't allowed to see.
An agent reads the question and decides which search tool to use: semantic vector search, exact match, or a structured field lookup.
Retrieved results pass through RBAC and ownership checks at the data layer. Anything the user isn't cleared for is dropped here, never seen by the model.
A separate agent generates the response, and only ever sees the documents the user is actually allowed to read. Isolation by construction.
Runs with no network connection, ever. There is no cloud endpoint to breach because there is no cloud, and no outbound traffic to monitor.
RBAC and ownership checks live at the data layer, not the prompt. Permissions are applied before retrieval returns.
Retriever and answerer are separated so context is filtered before generation. The model that writes answers never holds the keys to the index.
Drop-in schemas for medical, banking, and more define roles, ownership, and ID rules. Adapt the system to a new vertical without touching the core.
VLM-assisted OCR indexes PDFs, images, DOCX, XLSX, CSV and Markdown into a local FAISS index, scanned and photographed documents included.
Credentials and data sit behind a locked or unlocked encrypted store. At rest, everything stays sealed until an authorized operator opens it.
Air-gapping closes the network. Hardening closes the model. SancturaAI ships with an adversarial test suite that actively attempts prompt injection and data exfiltration, and is evaluated across multiple models to prove routing and access enforcement hold.
Passes prompt-injection and exfiltration attack suites; the model is hardened against being coaxed into revealing data it shouldn't.
Tool routing and access enforcement are verified across multiple local models; behavior is a property of the system, not one lucky model.
No GPU required. It runs CPU-only on a standard machine with as little as 8GB of RAM, and a single workstation GPU just makes it faster. No datacenter, no fleet, no external dependency.
CISOs, compliance officers, and IT leads who want LLM productivity without cloud risk, in environments where a leak isn't an incident, it's a violation.
Query patient records, clinical notes and imaging reports without a single byte of PHI crossing the network boundary.
Search contracts, filings and customer files behind ownership filters, so answers stay scoped to exactly who is permitted to ask.
Operate inside classified enclaves where connectivity is forbidden. Pluggable domains map to clearance levels and need-to-know.
Let faculty and students query research data, student records and grants without exposing them to the cloud or third-party models.
Tell us about your environment and what you need to keep private. We'll get back to you about a deployment on your own hardware.
The form has been successfully submitted.