ReelData offers an AI‑driven platform for land‑based aquaculture farms that automates feed management and provides continuous, non‑intrusive biomass monitoring through computer‑vision cameras. Its suite—including AI Smart Feeding, AI Biomass Monitoring (ReelWeight), and AI Cameras (ReelVision)—delivers real‑time appetite detection, weight distribution estimates, and health surveillance, all visualized in a cloud dashboard. By turning scarce data into actionable insights, farms can reduce feed waste, improve growth rates, and lower operational costs while supporting sustainable production.
Funding
$250K 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.
ACFounders
Product
Problem
Land‑based aquaculture operations often rely on manual feeding schedules and periodic, invasive biomass measurements, leading to feed waste, suboptimal growth rates, and limited visibility into stock health. The lack of real‑time, accurate data hampers profitability and increases environmental impact.
Solution
ReelData delivers an AI‑driven platform tailored for land‑based fish farms that automates feed management and provides continuous, non‑intrusive biomass monitoring. The AI Smart Feeding module uses computer‑vision to assess real‑time appetite and adjusts feed delivery to match demand, reducing waste while maximizing growth. AI Biomass Monitoring (ReelWeight) employs specialized cameras and machine‑learning models to estimate fish weight distribution within hours, delivering actionable insights for feed planning and market forecasting. Integrated AI Cameras (ReelVision) enable ongoing health surveillance and precise fish counting. All data are consolidated in a cloud‑based dashboard, allowing operators to make data‑driven decisions that improve efficiency, lower costs, and support sustainable production.
Target Audience
ReelData’s primary customers are commercial land‑based aquaculture farms and RAS operators seeking to improve feed efficiency, biomass accuracy, and overall operational sustainability.
Features
- AI Smart Feeding (ReelAppetite) that detects population appetite via vision analytics and automatically modulates feed rates
- AI Biomass Monitoring (ReelWeight) providing rapid, non‑intrusive weight and distribution estimates using calibrated camera systems
- AI Cameras (ReelVision) for continuous health monitoring, fish counting, and anomaly detection
- Cloud‑hosted analytics platform with real‑time dashboards and alerts for feed conversion, growth trends, and risk indicators
- Seamless integration with existing RAS (Recirculating Aquaculture System) infrastructure and feed delivery hardware
- Scalable deployment across multiple species and farm sizes, supported by on‑site installation and remote support