BiOceanOr AquaFORECAST Water Quality Prediction

BiOceanOr (Biology For Ocean) is a French company founded in 2018 in Nice and based at Sophia Antipolis, with a network in Toulon, Bergen and Puerto Montt. Founded by experts in marine biology, data science and fish health, it helps aquaculture producers anticipate low oxygen, temperature anomalies and harmful algal blooms before they cause stress or mortality.

AquaFORECAST combines in-situ sensor data, oceanographic and weather forecasts, farm history and operational data such as biomass, feeding and aerator use. Machine learning models trained on more than 200 million data points are paired with biogeochemical simulations to produce rolling 48-hour forecasts of dissolved oxygen, temperature and algal bloom risk, with alerts and dashboards. It works with any sensor hardware, runs on the AquaREAL platform or via API, and sits alongside AquaCHECK and AquaLYTICS. Users include salmon, Mediterranean fish and seaweed farms.

• Oxygen forecasting: rolling 48-hour forecasts of dissolved oxygen with risk levels.
• Temperature and algal bloom risk: predicts temperature changes and harmful algal bloom risk.
• Hybrid modelling: machine learning trained on over 200 million data points plus biogeochemical simulation.
• Hardware-agnostic inputs: in-situ sensors, weather and ocean forecasts, farm history and operations data.
• Alerts and dashboards: graphs and warnings for site managers and technical teams.
• Chloro Index and API: satellite chlorophyll-a tracking and API connection to farm data systems.

• Marine cage farms in Khanh Hoa or Quang Ninh receiving early warnings of algal blooms and low oxygen.
• Large shrimp farms planning aeration and feeding around predicted night-time oxygen drops.
• Provincial fisheries agencies monitoring coastal water quality risk for farming areas.

• Gives up to 48 hours of warning on low oxygen so teams can adjust feeding and start aeration before hypoxia.
• Reduces stress, mortality and emergency costs linked to oxygen drops and algal blooms.
• Delivers dissolved oxygen forecasts with an average real-world error of 0.5 mg/L.
• Uses existing sensors from any vendor, avoiding new hardware lock-in.

Climate change is making oxygen crashes, heatwaves and algal blooms more frequent, so farms are moving from real-time monitoring to prediction. In Vietnam, marine cage farms and coastal shrimp ponds regularly suffer losses from sudden water quality changes, creating demand for forecasting that works with existing sensors.

BiOceanOr was founded in 2018 in Nice by Samuel Dupont (CEO) and Charlotte Dupont (CTO) and is based in Biot, France. It closed a seed round in 2020 and a Series A in 2023; shareholders include The Yield Lab, Impact Ocean Capital, Inventures Fund, Region Sud Invest and Ifremer. Innovasea and ScaleAQ distribute its services, which run in more than 10 countries.