Hydrotwin provides an AI‑driven IoT platform that captures underwater sound with networked hydrophone sensors and processes the audio on edge devices for near‑zero‑latency detection, classification, and localization of acoustic events. Processed insights are synced to a secure cloud dashboard where users can monitor live soundscapes, receive alerts, and query historical data for marine research, offshore energy, and maritime security applications.
Funding
Funding not disclosed
Founders
Product
Problem
Monitoring underwater acoustic environments traditionally requires bulky hydrophone arrays, high‑latency data pipelines, and manual analysis, which limits timely detection of events such as marine wildlife activity, vessel traffic, or equipment failures. Delays and limited accessibility hinder decision‑making for research, security, and industrial operations that depend on real‑time sound intelligence.
Solution
Hydrotwin delivers an AI‑driven IoT platform that captures underwater sound via networked sensors and processes the data on edge devices to achieve near‑zero latency. The edge computing layer runs high‑performance acoustic detection and classification models, producing actionable insights instantly. Processed results are synchronized to a secure cloud platform, where users can view, query, and export sound event data from any location. The system supports both live streaming and analysis of archived recordings, enabling flexible deployment across marine research, offshore energy, and security applications.
Target Audience
Primary customers include marine research institutions, offshore energy operators, and maritime security agencies that require immediate acoustic situational awareness and automated analysis of underwater sound data.
Features
- Edge‑deployed AI models for real‑time detection, classification, and localization of underwater acoustic events
- High‑performance computing architecture optimized for low‑latency processing of high‑frequency hydrophone data
- Secure cloud dashboard providing continuous access to processed soundscapes, alerts, and historical analytics
- Flexible workflow allowing real‑time monitoring or batch analysis of pre‑recorded audio datasets
- Scalable IoT sensor integration supporting diverse hydrophone configurations and deployment environments
- Data encryption and role‑based access controls to ensure confidentiality and compliance with industry standards