PRIVATE INTELLIGENCE SYSTEMS

Keep control of your AI system

The final product does not have to be a permanent call to an external API. AMF can produce a private realization composed of multiple substrates and deployed inside the agreed operational envelope.

01 / SYSTEM

A private AI system combines models, data and tools.

Across missions, the organization can accumulate versioned intelligence assets: experts, data, knowledge, verifiers, policies, failure maps, QIRs and scientific lineages.

Models & experts

Specialized learned components, large or small, retained only when the mission justifies them.

Data & knowledge

Sources, corpora, memory, graphs, documents and information assets with explicit provenance and status.

Rules & verifiers

Deterministic constraints, schema validation, exact computation, policies and independent controls.

Tools & execution

APIs, business systems and authorized actions inside explicit operational boundaries.

Routing & policy

Allocation of responsibilities, fallback, refusal, escalation and authorization according to context.

IQ Fabric runtime

Execution of frozen QIRs with receipts and without silent mutation of the qualified identity.

02 / SOVEREIGNTY

Reduce dependency without making unrealistic promises.

Useful sovereignty is measured component by component: where data resides, who controls the runtime, which providers are replaceable, which authorities are granted, and what behavior remains when an external dependency is unavailable.

01Own the release identity

02Choose the deployment boundary

03Replace substrates when justified

04Preserve provenance & evidence

05Control tools and authority

06Requalify when identity changes

MISSION / START

What kind of AI system do you need?

Understand a mission