Count 366 provides an IoT‑enabled aquaculture operating system that continuously monitors key water‑quality parameters in shrimp ponds and automatically adjusts aeration to maintain optimal dissolved oxygen levels. The platform streams real‑time data to a mobile app for remote monitoring, trend analysis, predictive alerts, and BAP compliance reporting, helping growers reduce mortality, improve sustainability, and lower energy costs.
Funding
Funding not disclosed
Founders
Product
Problem
Shrimp farmers often lack real-time visibility into critical water quality parameters, leading to suboptimal aeration, increased disease risk, and higher mortality rates. Traditional monitoring relies on manual sampling and static aeration systems, which are labor‑intensive and inefficient.
Solution
Count 366 offers an IoT‑enabled aquaculture operating system that continuously measures pH, dissolved oxygen, temperature, ammonia, nitrate, conductivity, and ORP in shrimp ponds. The AERO aeration controller automatically adjusts oxygen delivery based on live DO readings, ensuring optimal shrimp health while minimizing energy consumption. Data are streamed to a mobile application where farmers can view real‑time dashboards, compare pond performance over time, and receive predictive analytics that flag emerging risks. The platform also supports record‑keeping for BAP compliance, enabling growers to meet sustainability standards and improve overall survival rates.
Target Audience
Primary customers are commercial shrimp farm operators and aquaculture enterprises seeking data‑driven pond management and sustainable production practices.
Features
- Smart sensor suite delivering continuous, high‑resolution measurements of seven key water‑quality metrics
- AERO dynamic aeration system that modulates oxygen supply in response to real‑time DO levels
- IIoT connectivity with a mobile app for remote monitoring, trend analysis, and predictive alerts
- Built‑in compliance tools that simplify BAP documentation and reporting
- Energy‑optimization algorithms that reduce aeration power usage and operational costs