OUR TECHNOLOGY

Introducing MOBY : Precision Extraction Through AI-Powered Autonomous Robotics

We have developed a patent-pending nodule recovery system using autonomous AI-driven swarm robotics:

NEMO (AUV Navigator & Mapper)

Scans the ocean landscape, mapping terrain and identifying collection targetsCommunicates paths and hazards to SCOOBEEs in real-time

“The scout of the swarm—eyes in the deep.”

SCOOBEE (Seafloor Collector Bot)

Precise, efficient, non-destructive gatherer of polymetallic nodules. Works solo or in tandem, constantly “foraging” like a honeybee

“Gentle harvesters of the ocean floor.”

Precisely collects nodules with near-zero environmental footprint

Utilizes NVIDIA AI, machine learning and computer vision for real-time ocean floor mapping

Intelligent Extraction Through Autonomous Fleet Coordination

Collects multiple metals simultaneously (Ni, Cu, Co, Mn) creating diversified revenue streams

Our robotics provide sustainable, scalable extraction with

  • No deforestation
  • No toxic tailings
  • No community displacement
  • Minimal sediment disturbance
  • Minimal noise and light pollution

MOBY's Integrated AI-Powered Collection System

Our proprietary technology stack combines cutting-edge robotics, computer vision, and AI to achieve unprecedented efficiency and environmental protection.

SmartNet Technology

  • Proprietary mesh collection system optimized for minimal seafloor disturbance

  • Dyneema mesh net allows water and fine sediment to pass through while capturing only nodules, eliminating tailings and polluted water columns

Advanced AI & Computer Vision

  • NVIDIA GPU-powered neural networks for real-time seafloor mapping and object recognition

  • Multi-spectral imaging identifies nodules with 98.7% accuracy even in low visibility conditions

  • Autonomous decision-making optimizes collection paths based on nodule concentration

  • Swarm coordination algorithms enable multiple units to work together efficiently

Integrated Collection System

  • Autonomous underwater vehicles (AUVs) provide mobility and scanning

  • SmartNet collection system gathers nodules with minimal environmental impact

  • Central processing unit coordinates the fleet operations and data analysis

  • Data from each deployment informs future updates to the machine learning models, improving long-term performance.