Public institutions building AI capability under their own jurisdiction. National LLMs, citizen service automation, document processing, institutional knowledge — running inside the country, under the country's compliance framework, operated by the country's principals.
Government AI is not a cost-reduction story. It is a sovereignty story. Every foreign-hosted government AI workload is a workflow whose governance has been exported. The data, the model, the audit record — all subject to a legal regime the institution cannot write, cannot read in its own language, and cannot enforce on its own terms.
This is not a theoretical argument about jurisdiction. It is the practical question of whether public institutions in Latin America can build AI capability without creating permanent dependence on foreign-controlled infrastructure.
Public-sector AI workloads live on a spectrum — from the highly sensitive (security, social program administration) to the more routine (institutional knowledge, citizen communications). Saptiva AI handles the full range under a single platform and a single compliance framework.
Sovereign LLMs trained and hosted inside the country, validated by infrastructure partners, available to public institutions and regulated enterprises through the Saptiva AI platform. KAL is the first. It is the template for the next ones across the region.
First-tier citizen inquiries — program eligibility, procedural status, document requirements — resolved automatically with clear escalation paths to human staff. Public-facing services improve in responsiveness without leaving the country's digital borders.
High-volume government document flows — permits, certifications, applications, archives — processed with the same audit and residency posture as the rest of the platform. No document leaves the jurisdiction. Exception cases route to human reviewers with structured reasoning attached.
Private AI systems trained on the institution's policies, procedures, and historical decisions. Role-based access, in-country hosting, full retrieval audit. The institution's knowledge stays the institution's knowledge.
AI tooling for regulatory and supervisory agencies — the institutions whose job is to oversee the banks, insurers, and markets we serve. The same platform powering compliance inside regulated firms can equip the regulators inspecting them.
Air-gapped or fully isolated deployments for the institutions whose connectivity requirement is itself a risk. Saptiva AI's air-gapped mode is the same platform running under zero external connectivity at runtime.
Any vendor can put the word "sovereign" on a landing page. What matters is what the deployment actually looks like in practice — who hosts the compute, who holds the keys, who writes the policy, who retains the audit. Saptiva AI's sovereign deployments pass these four tests:
. Mexico's first national-scale LLM.
Mexico's first national-scale LLM. Built in collaboration with the Mexican government. Validated by NVIDIA. Operating under Mexican jurisdiction.
KAL is the public evidence that sovereign AI is not a theoretical capability in Latin America — it is a deployed one. A three-party structure between Saptiva AI, the Mexican government, and NVIDIA produced a model and a platform layer that Mexican institutions can use without routing their governance through a foreign jurisdiction.
For peer institutions across the region asking the same question — under whose law does our AI run? — KAL is the working reference.
Read the deployment →Government program, ministry, central bank, or regulatory agency evaluating AI capability. If the question on the table is whether the capability can be built without exporting its governance — that is the conversation we have with a Forward Deployed Engineer.
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