Tor Jakob Ramsøy
Tidal
The startup develops artificial intelligence technology for the aquaculture industry that monitors fish health and optimizes feeding strategies. This approach enables fish farmers to raise healthier fish while minimizing waste and environmental impact, contributing to sustainable food production.
- Agriculture Technology
- Artificial Intelligence
- Hardware
- Internet of Things
- Robotics
Updated 6 months ago
Funding
Raised to date
$21MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Aquaculture faces challenges in optimizing fish feeding, monitoring fish health, and minimizing environmental impact due to limited real-time data and manual processes. Inefficient practices lead to increased costs, reduced yields, and potential harm to fish welfare and the surrounding ecosystem.
Solution
Tidal provides an integrated platform that combines autonomous underwater robotic cameras, precision sensors, and AI-powered analytics to deliver real-time insights into aquaculture operations. The system monitors fish biomass, health, and welfare, detects sea lice, and optimizes feeding strategies. By providing comprehensive data and AI-driven tools, Tidal enables fish farmers to improve production efficiency, reduce costs, enhance sustainability, and make data-driven decisions across their operations.
Target Audience
The primary target audience includes fish farmers, particularly those involved in salmon aquaculture, seeking to improve production efficiency, sustainability, and fish welfare through data-driven insights and automation.
Features
- Autonomous robotic underwater camera system with integrated smart winch for flexible mobility
- Multiple cameras to monitor feeding, fish biomass, health and welfare, and various sections of the pen
- AI-powered autonomous feeding control system to optimize stock health and minimize waste
- Real-time biomass estimation with near 98% accuracy for optimized harvest scheduling
- Automated lice counting and actionable fish welfare insights for early intervention
- Remote management and monitoring capabilities
- Integration with Google Cloud infrastructure
- NS9415 hardware certification