Technology

Aquaculture, the farming of aquatic organisms for profit, is the fastest-growing sector in animal protein production, and the most sought-after solution to meet the increasing global demand for fish, projected at 50 million tons by 2030. With the limited availability of land and water, the only viable solution is intensification – producing more fish per unit of area and water, with highly sustainable and cost-effective technologies. This is the pioneering technology that powers BioFishency.

BioFishency’s disruptive electro-chemical water treatment technologies guarantee a highly-sustainable fish growing method that shifts the water treatment process from bacteria-based filters, to a controlled industrialized system that maximizes RAS ROI by minimizing CAPEX and OPEX. The company’s water treatment systems dramatically reduce water consumption with full parameter monitoring and control, to enhance efficiency and productivity, and deliver a year-round harvest of high-quality, and healthier fish.

BioFishency solutions help lower the carbon footprint in urban areas, yielding significant water and energy savings, and reduced greenhouse gas emissions while maximizing fish production. In turn, BioFishency helps its customers make land-based fish growing profitable, save valuable resources and the space required for efficient indoor fish farming, and eliminate the number one challenge of off flavor.

Patented, BioFishency’s disruptive water treatment technology guarantees a highly-sustainable fish growing method that shifts the water treatment process from bacteria-based filters, to a controlled industrialized system that maximizes RAS ROI by minimizing CAPEX and OPEX. A proprietary cloud-based application driven by smart analytics, BioFishency solutions are skillfully developed to provide end-customers with the specific data and insights required to optimally manage and maintain their water treatment processes.

Backed by decades of Aquaculture industry expertise, and a keen understanding of the actual physical and biological workability of RAS, BioFishency’s Machine Learning (ML) and AI-based solutions closely monitor and assess RAS system data. Easily integrated into existing Command and Control RAS systems using end-customers’ current dashboards, BioFishency analytics output is asset-specific, to quickly identify RAS workflow problems in real-time. Insight-driven analytics are further supported by data generated from BioFishency ML and AI sensors on the RAS floor.