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OctaPulse

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OctaPulse

Robotics and computer vision to automate fish farming from hatchery…

tryoctapulse.com
HQ: Remote
1-10
Industrials

Company research

Public company, workplace, funding, and market signals

Updated Jul 29, 2026

Overview

OctaPulse is a YC W26 aquaculture-tech startup building AI computer vision and robotics for fish hatcheries, automating juvenile-fish grading, phenotyping, deformity inspection, and selective breeding workflows. Public sources conflict on some profile details, but the company and LinkedIn materials point to a New York HQ, a very small team, and $625k raised.

Primary product

AI-powered computer vision and robotics platform for aquaculture hatchery QA

Founded

2025

Headquarters

New York, United States

Team size

1-10

Industry

Robotics Engineering

Sub-industry

Aquaculture technology

Offices

New York, United States (HQ)
Pittsburgh, Pennsylvania, United States

Business model

B2B enterprise software and robotics
paid pilots
annual contracts

Funding

Stage

Seed / pre-seed

Total raised

$625K

Latest round

Pre-Seed Round · Mar 2026

Latest amount

$500K

Pre-Seed Round

Mar 2026 · Y Combinator

$500K

Seed Round

Jan 2026

$125K

Non-Equity Assistance

May 2025

People & investors

Leadership

Paul L. Grech

CEO & Co-Founder

Rohan Singh

CTO & Co-Founder

Investors

AlphaLab
Innovation Works
Pioneer Fund
The Robotics Factory
Y Combinator

Work & culture

Mission-driven around sustainable aquaculture and ocean health, with a multidisciplinary AI/robotics/seafood domain focus. No public benefits page was found.

Product & market

Pricing

Enterprise, contract-based pricing; public materials mention paid pilots and annual contracts.

Differentiators

  • —Automates hatchery QA with no-handling computer vision
  • —Claims 95%+ to 98%+ accuracy on inspection tasks
  • —Cuts inspection time from about 5 minutes to under 30 seconds per fish
  • —Uses off-the-shelf cameras and a growing multi-species dataset
  • —Integrates robotics with existing farm workflows
  • —Targets broodstock phenotyping, deformity inspection, and selective breeding
  • —Has a public paid deployment with Riverence, North America's largest trout producer

Technology

computer vision
robotics
data science
edge computing
off-the-shelf cameras
delta robots
Luxonis OAK cameras
NVIDIA Jetson
YOLO
OpenVINO
TensorRT
ONNX Runtime

Customers

Riverence

Competitors

Zunibal
DapDrift
Fishing Points

Scale & contact

info@tryoctapulse.com

Latest news

OctaPulse makes two Silicon Valley Post "Top Startups in YC W26" lists

OctaPulse · Mar 2026

Official company update noting recognition on two Silicon Valley Post YC W26 startup lists.

The Top Bio and Health Startups in YC W26

The Silicon Valley Post · Mar 2026

Profiled OctaPulse as a notable YC W26 startup applying robotics and computer vision to aquaculture.

Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farming

Hacker News · Mar 2026

Launch thread summarizing OctaPulse's robotics and computer vision system for fish farming, including technical discussion and product context.

Acme Smoked Fish Foundation Announces 2025 Seafood Industry Climate Award Recipients

Perishable News / Specialty Food · Jan 2026

Third-party coverage of OctaPulse receiving a $70,000 Seafood Industry Climate Award grant for automated phenotyping and deformity inspection.

OctaPulse joins Y Combinator W26 to revolutionize aquaculture with advanced robotics

OctaPulse · Jan 2025

Official company announcement that OctaPulse joined Y Combinator W26 and is building robotics and computer vision for aquaculture.

AboutGitHubLinkedIn companyPaul L. Grech LinkedInRohan Singh LinkedInUpdatesWebsiteXY Combinator company profileY Combinator launch
SourcesOctaPulse homeOctaPulse aboutOctaPulse updatesOctaPulse privacy policyOctaPulse LinkedIn companyY Combinator company profileY Combinator launch pageOctaPulse GitHub orgPaul L. Grech LinkedInRohan Singh LinkedInTracxn profilePitchBook profileSilicon Valley Post coveragePerishable News SICA coverageHacker News launch thread

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