
BioSort iFarm
BioSort iFarm is a system in development that will monitor the health, lice and growth for each fish in a pen. Individual fish can be removed, for example infection carriers or lice collectors. Only fish with needs will be treated, enabling a shift from group-based operations to Individualized care.
Biometrics
Fish ID – identification of each individual fish
Health Record
Tracks health development for each fish
Lice
Sea lice detection on the entire fish
Biomass
Tracks growth development or weigh loss
Extraction
Removes individual fish, e.g. infection carriers
Data Analysis
Population analysis and feed optimization
About Us
Our mission is to create sensor-based solutions for optimization of fish resources. We want to replace manual inspection and sampling by automated processes and monitoring derived from modern production processes. Our solutions will manage fish on an individual level, creating value and increased sustainability through increased fish welfare and higher production yields.
Experience
The founders of BioSort have a collective experience of over 40 years of product development and technology management from Tomra Systems ASA. The team being build will consist of highly skilled software, computer vison, optics, robotics and mechanical design specialists.
Technology
Machine vision and mechatronics design integrated in challenging environments, is the core competence of BioSort.
History
BioSort was founded in 2010 based on the idea of using machine vision and sorting to separate escaped farmed salmon and wild salmon.

Founded BioSort in 2010 after many years as product developer, project manager and business developer in Tomra. He also co-founded Integra International AS, which delivers assistive technology solutions. Holds a M.Sc. in Mechanical Engineering from NTNU.

Worked within product development, sales, service and management in Tomra, e.g. towards the seafood and meat industry. He has also headed global service for Tomra Sorting Solutions. Holds an M.Sc. Mechanical Engineering and Mechatronics from University of Washington.

Founded BioSort in 2010 after twenty years of experience in product development and technology management in Tomra, e.g. CTO of Tomra North America when Tomra established activities in the USA. Holds a M.Sc. in Electrical Engineering from University of Wyoming.

Holds an M.Sc. in Computer Science from the Karlsruhe Institute of Technology (KIT), with specialization within Computer Vision. He has also worked with human pose estimation and video analysis for contact-less patient monitoring at Philips Medical Systems.
Careers
Join us in developing the solutions of the future
Are you a technical problem solver, open-minded and passionate about product development? Do you want to work with cutting-edge technology in machine vision, AI, optics and mechatronics?
We are a development team dedicated to solve some of the most important challenges in aquaculture, something which is very technologically challenging and incredibly exciting. BioSort's success depends entirely on the knowledge and capabilities of our employees. We are always on the lookout for the smartest heads. We have an open company culture, which is characterized by initiative and involvement, giving you great creative freedom. We have fun at work and are concerned that each one is happy in the BioSort family.
If you have questions about job opportunities in BioSort, please contact us at careers@biosort.no.
Open positions
At the moment we don't have any open positions. However, you can write us an open application.
Open positions
Full-Stack Developer
Full-Stack with focus on cloud solutions.
Embedded ++
Mechanical Engineer












News
Utviklingskonsesjoner til iFarm bekreftet
Fiskeridirektoratet har gitt tilsagn på utviklingstilatelser til iFarm og vi ser frem til å akselerere arbeidet som skal resultere i flere runder med storskala testing av systemet.
iFarm featured by Bloomberg
iFarm fiskevelferd
Fiskevelferd kontrolleres ved småskala testing av iFarm
Olai Einen, direktør for forskning og utvikling i Cermaq, forklarer i denne artikkelen hvordan iFarm vil være det store gjennombruddet for fiskevelferd og hvordan FishWell vil bli brukt i denne sammenheng. Kjernen ligger i å etablere en helsejournal for hver fisk hvor iFarm følger velferdsindikatorer pÃ¥ hvert individ i merden. I tillegg kan man skille ut fisk som er syk eller som lider. Man unngÃ¥r ogsÃ¥ Ã¥ behandle frisk fisk, i motsetning til dagens gruppebaserte behandlinger for hele merden.Â
Contact
Contact us if you have questions. We will get back to you as soon as possible.