Canary Builds

Canary Builds designs the operational layer behind high-trust AI systems: durable memory, explicit authority, and runtime oversight that can be audited under pressure.

We focus on critical software paths where ambiguity is expensive. Systems are built to stay observable, policy-bounded, and recoverable over long timelines rather than short demo loops.

Most modern software stacks were not designed for autonomous reasoning, persistent memory, or continuous machine-assisted decisioning. As agent capability grows, operational risk shifts from model quality alone to control surfaces around execution.

Canary Builds addresses this by separating memory, execution, and oversight into enforceable layers, while preserving a coherent operator experience across all three.

Catherine OS

Operating layer for governed assistants and persistent system memory. Catherine OS anchors authority, retrieval, and runtime behavior in one inspectable control plane.

Memlink

Multi-tenant cognitive memory system with auditable state and scoped retrieval. Data remains external to model weights, editable, revocable, and policy-governed.

PronterLabs

Oversight layer for runtime review, escalation, and provenance. Raven closes the operational loop by making live behavior legible to teams responsible for reliability.

When intelligence becomes cheap, authority is not.

The constrained resource is governed control: who can act, what can be remembered, and which decisions can be traced. We build toward that constraint directly.