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KOA Biotech

We provide a digital, autonomous and onsite testing technology for fish farms that reduces fish mortality and can reduce costs up to 50% in fish farms. Our technology will revolutionize fish health and fish farm economics, and reduce their environmental impact worldwide. Over 50% of the fish we consume today comes from farms. Today’s testing technology consists of water samples shipped to labs that take 5 to 10 days to deliver results. Our onsite testing kits continually monitor potentially harmful bacteria in water and create early warning alerts to prevent infections. We are a spinoff from the University of Pompeu Fabra started by a group of PhDs in Biology. We have 2 live tests running with customers willing to pay and 8 more LOIs in line to go live in the next three months. By creating more sustainable food production we are taking care of humanity and the planet. Join us!

Growth Trajectory

With two live tests already running with paying customers and eight more letters of intent to go live soon, the company is poised for significant growth. They are focused on developing a rapid pathogen detection solution and expanding their IoT device with living technology and AI algorithms for pathogen detection and tracking in water, indicating strong innovation and market expansion plans.

Technical Challenges

Developing a reliable and scalable hybrid technology combining living organisms and micro-electronics.
Creating AI algorithms for accurate and rapid pathogen detection.
Ensuring the on-site testing kits are robust and easy to use for fish farmers.
Integrating the online platform with existing farm management systems.
Maintaining data security and privacy for sensitive farm information.

Tech Stack

Team Size

Key Risks

Technology adoption challenges among fish farmers accustomed to traditional testing methods.
Potential difficulties in scaling the production and deployment of on-site testing kits.
Competition from established aquaculture diagnostic companies.
Regulatory hurdles associated with using living organisms in testing technology.
Dependence on NEOTEC funding for IoT device development.

Opportunities

Expand product line to detect a broader range of fish pathogens.
Forge partnerships with aquaculture facilities and research institutions.
Leverage AI algorithms to improve the accuracy and efficiency of pathogen detection.
Expand into the global aquaculture diagnostics market to address protein source demands.
Develop new biological devices with computational capacity using SynBio.
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