Operational AI infrastructure
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.
Architecture
01
02
03
04
05
Capability set
OpenAI-compatible gateway for existing clients
Policy and model routing across providers and private inference
Project, key, cost, and runtime posture control
Evidence records that connect prompts, policies, models, cost, and outcomes
Continue
Governed AI gateway
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.
Application framework
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.
Trusted inference boundary
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.