Acoustic Intelligence: Governed Vessel Classification

Acoustic intelligence is operational — watch Domino's MLOps platform power a closed-loop undersea classification system that identifies vessel types from acoustic signatures, surfaces unknown threats across a distributed sensor network, and retrains automatically as new signatures emerge from the field.

See a live 3D operations dashboard of distributed underwater sensors — color-coded green, amber, and red by threat status — with a spectrogram classifier that identifies vessel types from acoustic signatures and explainable AI that highlights the exact image features behind every decision.

Explore the agentic operations assistant: watch it cluster unknown acoustic signatures across the sensor network, propose new vessel classes, and trigger a governed retraining flow — all without the analyst leaving the console.

Watch full agentic traceability in action: every agent decision, tool call, and model version is logged and linked back to its training data and approval record — so when a program manager asks why a new vessel class was added, the answer is one click away.

Timestamps

[00:00] — The Challenge: Acoustic Monitoring Across Distributed Underwater Sensor Networks

[00:38] — Inside the Live Operations Dashboard: Color-Coded Sensors and Real-Time Detection

[01:05] — How Spectrogram Classification and Explainable AI Identify Vessel Types

[01:30] — How the Operations Assistant Clusters Unknown Signatures and Triggers Retraining

[01:59] — How Domino's Governed Infrastructure Powers the Closed-Loop System

[02:45] — How Model Governance and ATO Documentation Are Built In

[03:19] — How Every Agent Decision Is Traced, Logged, and Linked to Its Training Data