L2M – PoseidonPulse

The proposed project focuses on developing a business and go-to-market strategy for PoseidonPulse, an advanced AI-powered water quality monitoring system designed to improve sustainability and operational efficiency in Canada’s aquaculture industry. By continuously tracking essential water parameters, this system enables aquaculture farms to proactively manage water quality, supporting healthier fish populations and optimized farm performance. Additionally, this project aims to adapt PoseidonPulse for Indigenous communities, where it could provide real-time monitoring solutions to address ongoing water supply challenges.
The L2M Validate program complements the proposed BSI project by offering crucial entrepreneurial skills development for researchers, enabling us to assess the market potential of research-driven products. Resources from L2M, including industry expert sessions and financial strategy training, will equip me with the skills needed to implement a successful business strategy throughout the BSI internship.

Faculty Supervisor:

Navneet Kaur Popli

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Aquaculture and Fishing; Artificial Intelligence; Indigenous Innovation

University:

University of Victoria

Program: