Aquabyte provides an AI‑powered computer‑vision platform that uses self‑cleaning underwater cameras to capture and analyze millions of images daily from fish pens. The system delivers real‑time metrics on fish welfare, lice load, behavior and growth through a web portal and API, enabling aquaculture operators to adjust feeding and health interventions for higher efficiency.
Funding
$25M raised to dateRaised 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.
Founders
Product
Problem
Aquaculture operations often rely on manual sampling and periodic inspections to assess fish health, lice load, behavior, and growth, resulting in delayed or incomplete information that hampers timely decision‑making and can increase mortality or reduce feed efficiency.
Solution
Aquabyte delivers an AI‑driven computer‑vision platform that continuously captures high‑resolution images from submerged Hammerhead cameras deployed in fish pens. The system processes over one million images per day using deep‑learning models to quantify welfare indicators, lice counts, behavioral patterns, and growth metrics. Processed data are presented in a web‑based portal where farm managers can view real‑time dashboards, trend analyses, and actionable recommendations. By turning raw imagery into precise, farm‑level insights, the platform enables operators to optimize feeding regimes, health interventions, and overall production efficiency throughout the entire farming cycle.
Target Audience
The primary customers are commercial aquaculture producers—particularly salmon and other finfish farms—who require continuous, data‑driven monitoring of fish health and growth to improve operational efficiency and sustainability.
Features
- Hammerhead underwater camera with self‑cleaning lenses, multiple sensors, compact form factor, and low weight for easy deployment and minimal maintenance.
- AI models for automated fish welfare assessment, lice detection, behavior classification, and growth estimation from daily image streams.
- Cloud‑scale image processing pipeline handling >1 million images per camera per day, ensuring near‑real‑time analytics.
- Interactive user portal offering customizable dashboards, trend visualizations, and prescriptive alerts for rapid decision support.
- Integration-ready APIs for exporting insights to existing farm management systems and feeding controllers.
- Dedicated customer‑success team providing on‑site support, training, and continuous performance monitoring.
- Proven deployment at over 700 pen systems with eight years of accumulated data to refine model accuracy.