Biosort Secured Over NOK 100 Million for Its Salmon Technology
Edited by Grace Mahas — February 24, 2026 — World
This article was written with the assistance of AI.
References: hatch.blue & hatch.blue
Norwegian aquaculture tech company Biosort secured more than NOK 100 million from a group of investors — including Grieg Kapital, Hatch Blue, IVC, Farvatn, and Futurum Ventures — to bring its individual-based lice control system to commercial market. Founded in 2010, Biosort built its reputation on advanced machine vision, AI, and FishID technology capable of identifying and tracking individual salmon. The new funding supports the final development and market rollout of a system designed to detect and remove lice at the earliest possible stage.
Rather than waiting for infestations to require full-pen interventions, Biosort's approach focuses on continuous, targeted lice removal at the individual fish level — combining early-stage extraction with real-time data tracking. The goal is to suppress lice populations before they spiral, reducing reliance on well-boat treatments and improving overall fish welfare. The system reflects a broader industry shift toward precision health management in salmon farming.
Image Credit: Hatch Blue
Rather than waiting for infestations to require full-pen interventions, Biosort's approach focuses on continuous, targeted lice removal at the individual fish level — combining early-stage extraction with real-time data tracking. The goal is to suppress lice populations before they spiral, reducing reliance on well-boat treatments and improving overall fish welfare. The system reflects a broader industry shift toward precision health management in salmon farming.
Image Credit: Hatch Blue
Trend Themes
1. Precision Aquaculture Monitoring - Represents a shift to continuous, per-fish surveillance that could supplant broad-spectrum treatments by enabling earlier, more selective responses and lowering chemical usage.
2. Individual-based Disease Control - Signals the emergence of treatment models centered on single-animal diagnosis and intervention, which may reduce population-level outbreaks and improve welfare metrics.
3. AI-driven Animal Identification - Creates opportunities for scaling automated identity and behavior recognition systems that can link individual health records to real-time management decisions and predictive maintenance of stocks.
Industry Implications
1. Salmon Farming - Faces potential disruption from technologies that minimize mass delousing events and change cost structures through reduced mortality, labor, and vessel-based treatments.
2. Aquaculture Technology Providers - Stands to be transformed by demand for integrated AI, machine-vision, and robotics packages that enable turnkey, pen-level precision management and new service revenue models.
3. Fish Health Diagnostics - Is positioned for change as sensor-driven, individualized diagnostics could replace periodic sampling regimes with continuous health baselines and earlier detection of pathogens.
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