01
Refactored, not wrapped
Legacy mission systems rebuilt as cloud-native services rather than fronted by an API that inherits every original assumption.
Cortex / Layer 04
Legacy systems, refactored to be inspectable.
The foundation the other three layers stand on: segmented, logged and inspectable by default, built to carry model workloads rather than adapted to tolerate them.
- Default
- Segmented · Logged
- Compute
- GPU-ready
- Edge
- Disconnected tolerant
What it delivers
Zero-trust refactoring
In-enclave inference
GPU-ready infrastructure
Edge & disconnected operation
How it works
Zero-Trust Substrate, in four parts.
02
Inspectable by default
Segmentation and logging are the default state, not an exception granted per system after someone asks for it.
03
Built for GPU workloads
Designed to carry model workloads from the start instead of being adapted to tolerate them later.
04
One boundary, not two
Inference runs in the enclave, so the security boundary and the compute boundary are the same boundary.
What it produces
Evidence, as a by-product of running.
Segmentation map
Access log
Service inventory
Control evidence
Bring us the workflow that has not survived review.
We will walk through how it would run, what evidence it would produce, and what it would take to field it.
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Corteq is the AI-native platform company for missions that cannot fail. We design, deploy, and secure governed systems that move national security, healthcare, and critical infrastructure from pilot to production.
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