AquaSignalAI/ML-enabled Acoustic Intelligence for Maritime Domain Awareness

AquaSignal™ is an advanced AI/ML solution that classifies undersea naturogenic (e.g. whales) and anthropogenic (e.g. submarines) targets based on relatively few prior examples using low compute resources. AquaSignal can be deployed centrally for intelligence triage, or to the edge (e.g. UxV) for real-time inference.

Maturity

Technical maturity (TRL-7) established via validation on both operational and open-source datasets.

Integration & Support

Built on Boethius™ Causal Intelligence Platform with MLDevSecOps framework.

Deployable to either conventional platforms (‘Edge’) such as submarines and surface vessels or uncrewed assets (‘Extreme Edge’) such as USVs, UUVs.

Deployable as low SWaP edge hardware for a range of sensor types including towed array, sonobuoy, seabed deployed, and hull-mounted sonar.

Modular design enables rapid adaptation to new sensor types and classification requirements.

Price Approach

Zero-cost demonstration in a relevant environment.

Per-sensor or per-user basis system acquisition fee, plus ongoing training, support, and upgrades package.

Alternatively, Software-as-a-Service monthly fee structure on a per-analysed-gigabyte basis.

Competitive Advantage

Proven performance and sensor integration in a variety of operational defense environments.

Ultra-Fast Inference: <0.01 seconds per second of input, enabling real-time classification using raw hydrophone data.

Few-Shot Learning: Classifies contacts of interest based on relatively few prior examples, crucial for rare or emerging threats.

Low Compute Requirements: Operates efficiently on edge devices with minimal CPU/GPU/SWaP usage.

Superior classification performance when compared against peer solutions.

Product Highlights

Underwater Radiated Noise Spectrograms of a Surface Vessel

Before Denoising

After Denoising

The Priori Difference

Enhanced maritime domain awareness provides operators with real-time classification of contacts, improving situational awareness and decision-making speed.

Reduced analyst workload through automation enables sensor scale by minimizing manual classification effort, allowing analysts to focus on higher-value tasks.

Higher classification accuracy of contacts of interest provides asymmetric advantage in the maritime domain.

Enhanced maritime domain awareness provides operators with real-time classification of contacts, improving situational awareness and decision-making speed.

Reduced analyst workload through automation enables sensor scale by minimizing manual classification effort, allowing analysts to focus on higher-value tasks.

Higher classification accuracy of contacts of interest provides asymmetric advantage in the maritime domain.

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