Computer vision to automate fish farming from hatchery to harvest
Company is active
Event Year: 2025
Company is active
Event Year: 2025
OctaPulse leverages AI-powered computer vision to revolutionize quality assurance in fish farming, spanning from hatchery operations to final harvest. Initially focused on broodstock phenotyping and juvenile deformity inspection, OctaPulse significantly reduces inspection time from approximately 5 minutes to under 30 seconds per fish, achieving over 90% accuracy. This efficiency enables farms to cultivate only high-quality fish, minimizing wasted feed and labor costs. The company's overarching objective is to introduce comprehensive automation throughout the entire fish production lifecycle within the $300 billion aquaculture industry.
Aquaculture represents the fastest-growing segment in the food sector, having already surpassed commercial fishing in seafood production volume. However, critical quality assurance and quality control procedures, such as phenotyping and deformity inspection, remain largely manual. These processes are not only time-consuming and prone to errors but also unpopular among technicians, despite their vital importance to farm success. Consequently, farms invest upwards of $200,000 annually in skilled technicians and geneticists. OctaPulse offers an AI vision platform tailored for vertically integrated finfish farms, seamlessly integrating into existing hatchery workflows. Utilizing readily available cameras, the platform standardizes quality assurance steps and establishes a proprietary, multi-species dataset, serving as the foundation for future autonomous aquafarming operations. While phenotyping serves as the initial application, the platform is designed for easy expansion into feeding, health monitoring, and processing, addressing production challenges across the entire lifecycle.
OctaPulse leverages AI-powered computer vision to revolutionize quality assurance in fish farming, spanning from hatchery operations to final harvest. Initially focused on broodstock phenotyping and juvenile deformity inspection, OctaPulse significantly reduces inspection time from approximately 5 minutes to under 30 seconds per fish, achieving over 90% accuracy. This efficiency enables farms to cultivate only high-quality fish, minimizing wasted feed and labor costs. The company's overarching objective is to introduce comprehensive automation throughout the entire fish production lifecycle within the $300 billion aquaculture industry.
Aquaculture represents the fastest-growing segment in the food sector, having already surpassed commercial fishing in seafood production volume. However, critical quality assurance and quality control procedures, such as phenotyping and deformity inspection, remain largely manual. These processes are not only time-consuming and prone to errors but also unpopular among technicians, despite their vital importance to farm success. Consequently, farms invest upwards of $200,000 annually in skilled technicians and geneticists. OctaPulse offers an AI vision platform tailored for vertically integrated finfish farms, seamlessly integrating into existing hatchery workflows. Utilizing readily available cameras, the platform standardizes quality assurance steps and establishes a proprietary, multi-species dataset, serving as the foundation for future autonomous aquafarming operations. While phenotyping serves as the initial application, the platform is designed for easy expansion into feeding, health monitoring, and processing, addressing production challenges across the entire lifecycle.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
Industrials
Industrials
Industrials -> Climate
Industrials -> Climate
Team size: 2
Hiring: No
Team size: 2
Hiring: No