Defense
Grounded answers, inside a network nothing leaves
A defense electronics program runs Cogeto fully offline: local models on program hardware, no outbound connectivity, no telemetry. If the documents hold it, it answers from them, with citations.
The situation
Material that cannot leave the building
Hosted assistants are not an option
The material is not allowed outside the boundary, and a hosted assistant either cannot be used at all or refuses questions about your own systems.
Knowledge rotates out with staff
Postings change, contractors roll off, and the person who knew why the harness was rewired leaves. What was never written down is gone; what was written down is scattered.
Interface documents that quietly disagree
Two controlled documents, two owners, no cross reference. The disagreement surfaces during integration, at the most expensive possible moment.
The run
The run
Installed from the offline image bundle. Program documentation imported inside the enclave: specifications, interface control documents, drawings notes, test records, minutes.
- 1730 documents imported inside the closed network
- 2Local models and page recognition on program hardware
- 3Anchoring to system, subsystem, and revision
- 4Verification against source sentences before storage
- 5Overnight reconciliation, all inside the boundary
The findings
The findings
Three of the forty one, as the product reports them.
The integration trap: two interface documents assign the same pin differently, neither referencing the other.
A unit conflict caught by arithmetic: meters against feet, compared before any model was consulted.
What the system refused to store: extractions that failed verification, logged instead of believed.
Then you ask.
What is the antenna length for ARK-23 revision C? 1.2 meters. Stands on: ICD ARK-23 rC, Outline drawing r2.
What is the export classification for the ARK-23? Your documents do not cover this. General knowledge follows, marked as not from your sources.
What it means for you
What it means for you
Grounded in your own corpus
If your documents hold it, it answers from them, with citations. If they do not, it says so instead of guessing.
Nothing leaves, verifiably
One model egress seam, enforced in continuous integration, pointed at local models. The code is open, so your security team can confirm it.
Knowledge survives rotation
What was written down stays queryable with citations after the author has rolled off the program.
Evidence for the review
The signed findings report over a defined document scope, produced inside the enclave.
Run it where your material lives
- Hosted in the EU: your single tenant instance, operated for you.
- Your cloud: deployed inside your own infrastructure.
- Fully offline: local models, no outbound connectivity, no telemetry.
First questions
Does anything leave the network?
No. Language models, embeddings, page recognition, and search all run inside the instance. There is no telemetry, and the single model egress seam is enforced in continuous integration.
How good are local models compared to hosted ones?
Measured, not asserted: every model configuration carries its own published trust scores, and untested combinations are flagged as not evaluated.
Who operates it?
Your people, inside your walls. The installation path is documented, the operator script is public, and we train your operators as part of the engagement.
More case studies
Start a pilot on your documents.
Send a document set, or bring us inside your walls; we deliver the signed findings report.