Advanced Edge-AI Acoustic Intelligence for Subsea Infrastructure Integrity. Combining on-node neural inference with orbital space sensors to achieve complete multi-domain awareness.
Critical seabed infrastructure forms the backbone of global security. Current continuous-cable solutions suffer from massive false-positive rates and physical deployment limits. SilentGrid operates entirely on a localized Defense-in-Depth architecture, processing threats at the edge and fusing acoustic data with space assets to unmask direct sabatoge.
Dividing the battlespace to eliminate 80km+ cable vulnerabilities. We deploy hardwired nodes at coastal choke points, and standardized ROV-deployable autonomous nodes utilizing high-density subsea power cells and acoustic modems for critical offshore junctions.
Instead of transmitting high-bandwidth raw audio, processing occurs locally on low-power edge neural accelerators. We transmit only encrypted micro-payload alerts, achieving an inference latency of just 0.16 ms.
[R&D PARTNER] Academic cooperation and algorithmic validation in partnership with the Institute of Computer Science, University of Tartu.
Our autonomous nodes function as intelligent acoustic filters for existing Distributed Acoustic Sensing (DAS) lines. When a DAS system registers a broad anomaly, SilentGrid's Edge-AI instantly verifies the exact acoustic signature, eliminating false-positive command escalations.
Acoustic data alone lacks surface context. Our Central Monitoring architecture is designed to cross-reference subsea alerts with ESA Sentinel-1 (SAR), Sentinel-2 (EO), and Satellite AIS to instantly correlate mechanical signatures with "dark" vessels masking their tracking above pipelines.
[STRATEGIC ALIGNMENT] Operationally aligned with EDF priorities for Critical Seabed Infrastructure Protection and ESA BIC space-tech commercialization mandates.