OctaPulse

OctaPulse leverages AI vision to automate quality assurance in fish farms, focusing initially on broodstock phenotyping and juvenile deformity inspection. This technology reduces inspection time from approximately 5 minutes to under 30 seconds per fish, achieving over 90 percent accuracy. This efficiency allows farms to advance only high-quality fish, reducing feed and labor waste. OctaPulse aims to automate the entire fish production lifecycle within the $300 billion aquaculture industry. As aquaculture becomes the fastest-growing food sector, surpassing commercial fishing in seafood production, critical quality assurance and control steps like phenotyping and deformity inspection remain manual. These processes are slow, error-prone, and unpopular among technicians, yet essential for farm success, leading to annual expenditures exceeding $200,000 on skilled technicians and geneticists. OctaPulse offers an AI vision platform for vertically integrated finfish farms, integrating seamlessly into existing workflows starting at the hatchery. Utilizing off-the-shelf cameras, it standardizes QA processes and builds a proprietary multi-species dataset, forming the foundation for future autonomous aquafarms. While phenotyping is the initial focus, the platform is designed for easy expansion into feeding, health monitoring, and processing, addressing production challenges throughout the lifecycle. OctaPulse has secured a six-figure paid pilot with the largest trout producer in the United States and plans to deploy in two additional farms by early 2026. The trained models maintain over 90 percent accuracy while reducing inspection time significantly. Each deployment contributes labeled images to the dataset, enhancing cross-species generalization.