What it looks like in the field.
The same offline pipeline supports a range of analyst workflows. Here are three of the most common — illustrative, composite, and non-operational.
Seized-media exploitation at the edge
A forward team recovers a phone and laptop containing thousands of documents and messages across Arabic, Pashto, and Russian. There is no network, and the data cannot leave the facility.
- 1Bulk-ingest the media locally — no upload, no external indexing
- 2Auto-detect language per document and translate to English
- 3Extract people, organizations, locations, and dates into structured records
- 4Surface the highest-signal documents by semantic relevance
An analyst goes from a raw device to a ranked, English-readable picture in minutes — entirely on-site, with nothing transmitted.
Illustrative scenarios · composite, non-operational examples
No. The entire stack — models, indexes, and storage — runs locally on hardware you control. There are no cloud calls, no telemetry, and no model phone-home. It is designed to operate fully air-gapped.
It runs on commodity hardware, including a modern laptop. Throughput scales with the machine, but the baseline footprint is intentionally small so it can deploy at the edge rather than requiring a data center.
Priority coverage spans Arabic, Persian/Farsi, Russian, Chinese, Urdu, Pashto, Korean, and more, with broad additional coverage across 200+ languages. The supported set is driven by mission need.
Updated models and indexes are delivered as signed packages that can be installed via removable media — no connection required. You control when and what updates.
We continuously evaluate translation quality on standard multilingual test sets and ship the strongest offline performer for each priority language. The goal is cloud-competitive quality with zero connectivity.
Every extracted fact and summary is grounded to its source passage, so an analyst can verify any claim against the original document in one step. The system is built to assist analysts, not replace their judgment.