By industry
Built for environments with no way out.
Classification, need-to-know and networks that do not reach the internet — the conditions most AI tooling quietly assumes away.
What goes wrong today
The problem in defence, national security & intelligence
- Tools that require a hosted model are unusable the moment the network has no route out.
- Need-to-know is a hard boundary, not a permissions preference, and most knowledge tools treat it as the latter.
- Analytical judgements have to be traceable to their basis long after the analyst has moved on.
What you would do with it
The same platform, pointed at your problem
Runs with no network path out
Distillation runs locally on your own hardware, which is what makes an air-gappable deployment possible at all.
Compartments by construction
Hierarchical tenancy and a classification lattice, with encryption and classification always on rather than configurable.
Provenance on every claim
Each fact carries its source, its author, its date and its scope — so a judgement can be audited against what was known when.
What changes
In terms your finance director recognises
Capability inside your boundary
Access that reflects need-to-know by design
Assessments that remain auditable years later
The lead angle here is sovereign, air-gappable, classification — but the platform underneath is the same one on every page of this site. See how it works.
Other industries
Start with one team.
Small teams use Cornerstone free. No card, no sales call, nobody to approve it.