BlurredBox AGD is the governance layer for mission-critical machine learning. It predicts failures before they happen and prevents them from happening in milliseconds.
Not observability. Real-time intervention — engineered for systems where failure is not an option.
Deep-learning models forecast drift and systemic failure before they breach policy — shifting governance from reactive monitoring to pre-emptive control.
A decoupled decision-and-enforcement design over a low-latency message bus delivers ~5ms intervention and load-balancer rerouting.
Signed identity resolution and immutable, hash-chained audit logging. Every governance decision is verifiable and tamper-evident.
While conventional tooling watches logs, BlurredBox AGD intercepts the execution path itself — a high-priority native enforcement layer that recovers from failure without the overhead of higher-level runtimes.
Low-latency messaging for non-blocking, high-frequency enforcement.
Deploy on-premise or in isolated clouds. Model weights never leave your perimeter.
Every decision cryptographically signed and hash-chained in an unalterable log.
Sovereign by design. Telemetry stays inside your perimeter; only anonymized, metadata-level anomalies required for governance are transmitted — over encrypted channels, fully audited. Enforcement is deterministic and reversible, with a complete chain of custody for every action.
We're accepting early institutional partners into a private pilot. Engagements are handled personally — no sales funnel, a direct technical conversation.
Commercial partnerships, governance strategy, and pilot onboarding. Start here for commercial and partnership conversations.
Builds the governance kernel and enforcement engine. Your point of contact for technical integration, architecture, and deployment.