ThaliosTHALIOS

Frontier Artificial Intelligence.

for maritime situational awareness.

Fig. 01 — Thalios Edge interface
Thalios dashboard showing acoustic detection and tracking
[ 00 ] Overview

Acoustic detection
at the edge.

We deliver an adaptable and power efficient acoustic-based vessel detection, classification, localization and, tracking solution for remote maritime settings.

[ 01 ] Flagship technology

Our flagship
technology.

Introducing Thalios Edge, an end-to-end solution for scalable, low-power, AI based vessel detection, classification, localization, and tracking.

  1. 01

    Passive acoustic monitoring

    Compatible with pre-existing hydrophone deployments, our technology is compatible with IQOE standard hydrophones, and are designed to be deployed on similar resource-constrained environments.

  2. 02

    Frontier artificial intelligence models

    State-of-the-art acoustic-based detection, classification, localization, and tracking of vessels, robust to highly variable maritime environments, and designed to be deployed in low-power and bandwidth constrained environments.

  3. 03

    Cost-effective compute

    Thalios Edge is designed to run on inexpensive compute boards, leading to cost-effective scalability to multiple deployments.

  4. 04

    Multi-node scaling

    Our technology has multi-node mesh network capabilities, leading to higher granularity of vessel monitoring that scales effectively.

[ 02 ] Crew

Our team.

A multidisciplinary team combining expertise in acoustic signal processing, deep learning, and marine systems. We deliver production-ready AI solutions for defense and environmental maritime applications.

  • Dr. Bruno Padovese
    Principal Investigator

    Dr. Bruno Padovese

    PhD in Computer Science. 9+ years in machine learning, signal processing, and bioacoustics for marine environments.

    [email protected]
  • Jessica Doman
    Project Manager

    Jessica Doman

    M.Sc. Resource & Environmental Management. 5+ years in environmental management and stakeholder engagement.

    [email protected]
  • Sam Silver
    Business Development Lead

    Sam Silver

    B.Sc. Computer Science, Diploma in Engineering. 5+ years in software development and technical sales.

    [email protected]
  • Noah Barrett
    Machine Learning Operations Lead

    Noah Barrett

    M.Sc. Computer Science. 6+ years ML/AI experience. Model training, optimization, and marine acoustic AI systems.

    [email protected]
[ 03 ] Contact

Schedule
a meeting.

Interested in learning more? Schedule a meeting with our team to discuss how Thalios AI can help your organization.