Purpose-built models for finance, compliance, and public services — specialized from a sovereign base so their behavior is grounded in the nation's own rules, not a foreign default. Fit for settlement, supervision, and citizen-facing work.
Domain models inherit the foundation base and are shaped for a defined institutional task.
A model is fine-tuned against the actual artifacts of its domain — statutes, filing formats, transaction schemas — so its competence maps to the work it will do rather than a broad benchmark.
Specialization starts from the sovereign foundation model, so a compliance model already carries general reasoning and national-language coverage before it ever sees domain data.
Each domain model is deployed for a defined function, keeping its behavior legible and auditable rather than diffuse across unrelated tasks.
When a regulation or process changes, the domain model can be re-specialized and re-released as a tracked version while the base stays stable underneath.
In sovereign finance, a model's answers touch ledgers, so its grounding has to be exact.
Finance models are grounded in the structure of the tamper-evident hash-chained ledger and delivery-versus-payment settlement, so they reason about transactions in the terms the system actually enforces.
The model understands the tokenized real-world assets and instruments it is asked about, from issuance terms to settlement conditions, rather than treating them as free text.
The model surfaces analysis and drafts for human decision; it does not hold keys or authorize settlement, which remain gated by the owner's cryptographic controls.
Answers can be tied back to the specific ledger records or documents they draw on, so a finance operator can verify the basis of a recommendation.
A compliance model is only useful if it reasons from the regulations that actually apply.
The model is specialized on the jurisdiction's regulatory text and supervisory guidance, so its reasoning reflects national rules rather than an imported regime's defaults.
Compliance outputs are structured to point back to the specific provision or filing they rest on, giving a supervisor an auditable trail rather than an opinion.
As rules are amended, the model can be re-specialized against the updated corpus, with the change recorded so decisions can be read against the rulebook in force at the time.
The model assists review and drafting; supervisory judgment and enforcement remain with accountable officials, not the model.
Public-service models handle sensitive interactions and must never leave national control.
Public-service models are specialized on official and regional languages and the state's own procedures, so citizen interactions are handled in the terms government actually uses.
Every query and response is processed on in-nation infrastructure, keeping citizen data inside the sovereign perimeter rather than routing it to an external endpoint.
The model is grounded in current public-service processes and forms, reducing the gap between what it tells a citizen and what the administration actually requires.
Service interactions are logged under owner control so the state can review, appeal, and account for how a citizen was handled.