National Security

Product systems

Mission software with infrastructure-grade control.

10x National Security is expanding from fielded applications into governed AI, private inference, commercial data exchange, and secure collaboration platforms built for high-consequence environments.

control fabric online
gateway armed
policy recorded
private route ready
evidence sealed

VortexAQ family

Governed AI infrastructure, split into deployable primitives.

VortexAQ anchors the new platform effort. Nexus governs model traffic, Nexus SDK turns the platform into product-grade developer surfaces, Aegis protects private inference, Compute places workloads, and Storage preserves retrieval assets, traces, and operational memory.

Platform forming

Operational AI infrastructure

VortexAQ

VortexAQ gives regulated teams a practical path from model calls to production AI infrastructure: policy, routing, placement, private inference, cost intelligence, and durable records handled below the application layer.

Nexus Aegis Compute Storage
Core product

Governed AI gateway

Nexus

Nexus centralizes AI traffic so teams can route requests, enforce policy, manage provider keys, track cost, and preserve evidence without rewriting every application around a new AI provider.

Gateway Policy engine Provider registry Evidence stream
Developer surface

Application framework

Nexus SDK

Nexus SDK packages the platform into clean developer primitives: typed clients, workflow adapters, enterprise defaults, and integration paths that keep AI applications maintainable as policy and infrastructure change.

Typed clients Workflow adapters Runtime variants Reference apps
Inference boundary

Trusted inference boundary

Aegis

Aegis is the trust boundary for deployments that cannot delegate inference to an opaque external service. It is designed for protected networks, private estates, and environments where evidence and placement matter.

Inference server Secure enclave Local records Policy hooks
Execution layer

Execution fabric

Compute

Compute is the execution layer for model serving, agent workloads, retrieval jobs, evaluation runs, and policy-sensitive automation that must move across environments without losing operational control.

Workers GPU nodes Job runners Deployment manifests
Record substrate

Evidence and retrieval substrate

Storage

Storage gives governed AI systems a durable record layer for retrieval assets, provenance metadata, evaluation traces, operational memory, and the evidence needed to debug, audit, and improve production behavior.

Retrieval assets Evidence records Trace store Memory layer

Operating model

Build small, prove control, scale the platform.

01

Start with a constrained mission workflow.

02

Attach policy, identity, evidence, and cost tracking at the platform edge.

03

Move workloads across provider, private, and mission environments as requirements harden.