Application YC di OctaPulse
OctaPulse ha partecipato a Y Combinator nel batch Winter 2026 come azienda Industrials. Sotto: cosa fa l'azienda, chi l'ha fondata e la sua application a YC, ricostruita domanda per domanda nel form reale di YC.
- Batch YC
- Winter 2026
- Settore
- IndustrialsClimate
- Dimensione team
- 2
- Stato
- Active
- Lanciata
- 2025
Founder
Paul GrechFounder
Rohan SinghFounder
Cosa fa OctaPulse
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.
Application YC di OctaPulse, ricostruita
Domanda per Y Combinator
OctaPulse, batch Winter 2026. Le vere domande del form, risposte da dati pubblici.
- 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.
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21 risposte in più nell'application completa
Founders, Progress, Idea, Equity, Curious, Batch Preference sono nella versione completa. Crea un account gratuito per aprirla in YC Insights, accanto a ogni altro batch YC.
Domande Frequenti
Questa è l'application YC reale di OctaPulse?
No. Y Combinator mantiene private le application inviate. Questa è una ricostruzione: le domande del form YC reale, a cui si è risposto usando i dati pubblici di OctaPulse (note di lancio, background dei founder, descrizione del prodotto). Mostra come un'azienda come OctaPulse si presenterebbe a YC, non il testo che hanno inviato.
A quale batch YC apparteneva OctaPulse?
OctaPulse apparteneva al batch Winter 2026 di Y Combinator.
Chi ha fondato OctaPulse?
OctaPulse è stato fondato da Paul Grech, Rohan Singh.
Cosa fa OctaPulse?
CV and robotics to automate quality inspection in fish farms
Come leggo la ricostruzione completa della application?
Crea un account Round Funded gratuito. La versione completa di 26 risposte della application di OctaPulse, e di ogni altro batch YC, è in YC Insights.
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