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OctaPulse
Y Combinator LogoWinter 2026
Active
Robotics
Computer Vision
Food Tech
Maritime

Robotics and computer vision to automate fish farming from hatchery…

OctaPulse uses AI vision to automate hatchery QA for fish farms, starting with broodstock phenotyping and juvenile deformity inspection. We cut inspection time from about 5 minutes to under 30 seconds per fish, with more than 90 percent accuracy, so farms advance only high quality fish and waste less feed and labor. Our goal is to bring automation across the entire fish production lifecycle for the $300B aquaculture industry. Aquaculture is the fastest growing food sector, and has already surpassed commercial fishing for production of seafood. Yet two of the most critical QA and QC steps in fish production are still done by hand: phenotyping and deformity inspection. These processes are slow, error prone, and despised by technicians but vital for the success of the farm, so much so that farms spend >$200K a year on trained technicians and geneticists to operate. We’ve built an AI vision platform for vertically integrated finfish farms that drops into existing workflows starting in the hatchery, uses off the shelf cameras, standardizes these QA steps, and creates a proprietary multi species dataset that becomes the brain for future autonomous aquafarms. Phenotyping is the start, but the platform is designed to be a drop in solution that can easily expand into feeding, health monitoring, and processing so we can solve production problems across the lifecycle. We signed a 6-figure paid pilot with the largest trout producer in the United States, are deploying into 2 more farms early 2026, and trained models above 90 percent accuracy while cutting inspection time from 5 minutes to under 30 seconds. Each deployment adds labeled images to our dataset and improves cross species generalization.
Active Founders
Paul Grech
Paul Grech
 
Founder
Building the future of autonomous aquaculture, passionate about all things ocean.
Rohan Singh
Rohan Singh
 
Founder
Building the future of autonomous fish farms to help feed the world.
Latest News
Company Launches
OctaPulse - Building the Autonomous Aquaculture Farms of the Future
See original launch post

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TL;DR: We're building robotics and computer vision for fish farming. Automated grading, phenotyping, and breeding optimization. 6-figure annual contract with North America's largest trout producer. Looking for intros to delta robot manufacturers and aquaculture connections.

We're building AI-powered computer vision and robotics for aquaculture. Automated fish grading, phenotyping for breeding programs, and health monitoring.

Why it matters: Aquaculture is a $350 billion industry, the fastest-growing protein sector on Earth, and it needs to grow 30%+ by 2030 to meet global seafood demand. But most farms still grade and sort fish by hand. It's slow, stressful for the animals, and limited to tiny sample sizes. You can't optimize breeding, feeding, or harvest timing without accurate data, and right now, most farms don't have it.

Where we are: We're deployed with Riverence, North America's largest trout producer, on a 6-figure annual contract. Model accuracy is at 95%+, and we've cut inspection time from 5 minutes to under 30 seconds per fish. We're now integrating delta robotics for automated sorting.

Team: Paul leads commercial and partnerships as a Future Leader in the National Fisheries Institute and Coalition for Sustainable Aquaculture. Rohan leads engineering, with robotics and AI experience from CMU, ASML, Toyota, Tesla, and NVIDIA.

Asks:

  • Intros to delta robot manufacturers (ABB, Fanuc, Omron, Igus, or emerging players)
  • Connections to salmon, trout, or finfish farms in Chile, Norway, Scotland, or the Mediterranean

Happy to connect with anyone in computer vision, AgTech, robotics, or climate tech. The farms that adopt automation first will define this industry for the next 50 years.

Let's chat. 🐟

https://youtu.be/yuIUlyIgi4E

OctaPulse
OctaPulse
Founded:2025
Batch:Winter 2026
Team Size:2
Status:
Active
Primary Partner:Jon Xu
 
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