
OctaPulse YC 지원서
OctaPulse은(는) Winter 2026 배치에서 Industrials 회사로 Y Combinator를 거쳤습니다. 아래에는 회사의 사업 내용, 창립자, 그리고 실제 YC 양식에 맞춰 재구성한 YC 지원서가 있습니다.
- YC 배치
- Winter 2026
- 산업
- IndustrialsClimate
- 팀 규모
- 2
- 상태
- Active
- 출시됨
- 2025
창업자
Paul GrechFounder
Rohan SinghFounder
OctaPulse의 사업 내용
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.
OctaPulse의 YC 지원서, 재구성됨
Y Combinator 지원
OctaPulse, Winter 2026 기수. 공개 데이터를 기반으로 작성된 실제 지원 질문.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
OctaPulse
CV and robotics to automate quality inspection in fish farms
We built an AI vision platform that automates quality inspection in fish farms, starting with broodstock phenotyping and deformity checks for juveniles. Our system uses off-the-shelf cameras to cut inspection times from minutes to under 30 seconds per fish, while maintaining over 90% accuracy. It drops into existing hatchery workflows and creates a growing dataset to improve across species, with plans to expand into feeding and health monitoring across the aquaculture lifecycle.
N/A
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전체 지원서에서 21개의 추가 답변
Founders, Progress, Idea, Equity, Curious, Batch Preference는 전체 버전에 있습니다. 무료 계정을 만들어 YC Insights에서 모든 YC 배치 옆에 열어보세요.
자주 묻는 질문
OctaPulse의 실제 YC 지원서인가요?
아닙니다. Y Combinator는 제출된 지원서를 비공개로 유지합니다. 이것은 재구성된 것입니다. 실제 YC 양식 질문에 OctaPulse의 공개 데이터(출시 노트, 창업자 배경, 제품 설명)를 기반으로 답변했습니다. OctaPulse과 같은 회사가 YC에 어떻게 자신을 소개하는지 보여주며, 그들이 제출한 텍스트는 아닙니다.
OctaPulse은(는) 어떤 YC 배치에 있었나요?
OctaPulse은(는) Y Combinator Winter 2026 배치에 참여했습니다.
OctaPulse은(는) 누가 설립했나요?
OctaPulse은(는) Paul Grech, Rohan Singh(이)가 설립했습니다.
OctaPulse은(는) 무엇을 하나요?
CV and robotics to automate quality inspection in fish farms
전체 재구성된 지원서를 어떻게 읽나요?
무료 Round Funded 계정을 만드세요. OctaPulse의 전체 26개 질문 버전 지원서와 모든 YC 배치 지원서는 YC Insights에서 확인할 수 있습니다.