SilentGrid

TRL 4: HARDWARE-IN-THE-LOOP LAB VALIDATION

Advanced Edge-AI Acoustic Intelligence for Subsea Infrastructure Protection.

Mission

SilentGrid provides persistent, real-time autonomous monitoring of critical maritime assets. Our proprietary Edge-AI engine detects and classifies subsurface threats—from mechanical sabotage and unauthorized tools to covert UUV activity—establishing a resilient "early warning" layer for Maritime Domain Awareness.

Infrastructure Independence

Unlike traditional cable-dependent sensors (DAS), our nodes utilize an independent communication layer. Monitoring persists even if the primary asset is compromised.

On-Node Edge AI

Data is processed on the sensor. Only encrypted metadata alerts are transmitted, ensuring ultra-low latency (< 50ms) and a minimal bandwidth footprint.

Covert & Passive

Our purely passive acoustic surveillance creates a zero-emission footprint, making the detection grid itself virtually undetectable by hostile actors.

Automated Fingerprinting

Trained to ignore ambient clutter. Custom neural filters isolate mechanical transients, dramatically lowering analyst fatigue and false-positive rates.

Laboratory Validation

Our autonomous acoustic classification algorithms have undergone rigorous hardware-in-the-loop (HITL) physical testing. The telemetry graph below demonstrates real-time processing of raw transducer input, achieving localized threat isolation with sub-50ms latency.

SilentGrid TRL 4 validation telemetry graph

SilentGrid HitL validation run. System demonstrating real-time detection of mechanical transients and acoustic anomalies plotted against ambient baseline.

Technical Architecture (Unclassified)

SilentGrid is built on a modular Edge-AI architecture. It bridges the gap between raw acoustic physics and high-level threat intelligence without compromising operational security.

  • Sensing Topology: Passive Acoustic Monitoring (PAM), Broadband Piezoelectric
  • Inference Engine: On-device Convolutional Neural Network (CNN)
  • Response Latency: < 50 ms (Acoustic event to Alert metadata)
  • Transmission Payload: Encrypted Event Metadata only (No raw audio streaming)
  • Connectivity: Independent Subsea Hardwired Link (Power & Telemetry)
  • Threat Taxonomy: UUVs, SCUBA/Divers, Mechanical Transients, Active Sonar Pings

Development Roadmap

We are executing a rapid iteration pipeline to bring SilentGrid from academic algorithms to fully autonomous subsea hardware.

Phase I

TRL 3: Synthetic Validation

Algorithm architecture verified offline using curated underwater datasets.

Phase II

TRL 4: Hardware-in-the-Loop

ONNX migration complete. End-to-end signal processing and physical transducer tests achieved <50ms response times.

Phase III (Current)

TRL 5: Open-Water Calibration

Acquiring authentic Baltic Sea ambient noise signatures to eliminate environmental false-positives (Building the Data Moat).

Phase IV

TRL 6: Autonomous Edge Node

Migrating logic from localized processing to standalone ARM-based NPU hardware for low-power remote deployment.

Strategic Inquiries

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