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FP AQUA

This company provides underwater monitoring systems that use AI-powered sensors to identify and analyze microscopic organisms in aquatic environments. Their technology detects and monitors zooplankton, including harmful species, enabling businesses to implement preventative solutions for improved ocean health.

Founded 20243100+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

The salmon aquaculture industry faces significant challenges due to parasites like sea lice and micro jellyfish, leading to increased mortality rates, reduced fish welfare, and substantial financial losses. Current treatment methods can be costly and may lead to parasite resistance, threatening both farmed and wild fish populations.

Solution

FP Aqua provides real-time underwater monitoring solutions that leverage AI-powered sensors and advanced data analytics to detect and analyze microscopic organisms in aquatic environments. Their technology identifies salmon lice larvae and other harmful zooplankton at early stages, enabling timely preventative actions and minimizing environmental impact. The system integrates with interactive dashboards and web portals, providing users with continuous monitoring data and enabling energy-efficient measures. By providing early warnings, FP Aqua helps aquaculture businesses reduce reliance on treatments, improve fish health, and protect marine ecosystems.

Target Audience

FP Aqua's primary customers are salmon aquaculture farms seeking to mitigate the impact of parasites, improve fish health, and reduce treatment costs, as well as organizations focused on marine ecosystem monitoring and biodiversity.

Features

  • AI-powered sensor technology for early detection of salmon lice larvae and other harmful zooplankton
  • High-resolution underwater microscope with a 64MP camera in a waterproof housing
  • Real-time monitoring with data accessible through web portals and interactive dashboards
  • Advanced data analytics using AI and machine learning to distinguish different zooplankton species
  • Ability to measure at various depths
  • Expandable species detection to monitor other harmful zooplankton like micro jellyfish
  • API integration for seamless data delivery to partner dashboards
This profile is AI-generated and may contain inaccuracies.