OctaPulse YC Application

Winter 2026Active

OctaPulse went through Y Combinator in the Winter 2026 batch as a Industrials company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.

YC batch: Winter 2026
Industry: IndustrialsClimate
Team size: 2
Status: Active
Launched: 2025

Founders

Paul GrechFounder
Rohan SinghFounder

What OctaPulse does

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.

OctaPulse's YC application, reconstructed

Y Combinator application

OctaPulse, Winter 2026 batch. The real form questions, answered from public data.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

OctaPulse

Describe what your company does in 50 characters or less.

CV and robotics to automate quality inspection in fish farms

What is your company going to make? Please describe your product and what it does or will do.

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.

Where do you live now, and where would the company be based after YC?

N/A

Explain your decision regarding location.

N/A

21 more answers in the full application

Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.

See full application

Frequently Asked Questions

Is this the real OctaPulse YC application?

No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from OctaPulse's public data (launch notes, founder backgrounds, product description). It shows how a company like OctaPulse would present itself to YC, not the text they submitted.