aspects of fisheries Electronic Monitoring (EM). By leveraging machine learning to detect, track, and classify catch events from video and sensor data collected at sea, Ai.Fish significantly reduces human review time and operational costs, while increasing accuracy in species identification and bycatch monitoring. The team’s technology has demonstrated human-level accuracy and is built to handle the complex, real-world challenges of chaotic fishing environments and diverse species. With a background spanning leading-edge engineering, successful software entrepreneurship, and deep expertise in both AI research and fisheries management, Ai.Fish’s multinational team delivers both off-the-shelf and custom solutions shaped by end-user needs and continuous stakeholder engagement. Ongoing R&D at Ai.Fish addresses challenging fisheries video problems, such as object occlusion and integrating multi-source sensor data. We have secured significant grant funding to date, but as demand for scalable, AI-powered monitoring accelerates, Ai.Fish is actively seeking investors and strategic partners to support our next phase of growth. Funding will be used to bring our AI-driven solutions to markets where they are needed most and our product suite.

If you are an investor interested in innovative AI applications, ocean sustainability, or environmental technology, contact us for our pitch deck. We look forward to hearing from you.