DataValley · raw details

Optimizing Oxygen Levels for Inland Aquaculture · Beit She'an · Founded 2019

active Pre-Funding ← back to profile

Highlights

Climate techProfile claimed by owner

About

Optimizing Oxygen Levels for Inland Aquaculture

DataValley specializes in addressing the critical challenge of hypoxia in the inland aquaculture industry. As a significant source of protein for 3.1 billion people, fish production is of paramount importance. However, the growing risk of hypoxia, exacerbated by climate change's impact on marine food production, threatens this vital industry.

To combat this issue, DataValley offers a comprehensive solution centered around Dissolved Oxygen management. The company innovative approach leverages state-of-the-art technology, including fully autonomous PLACEAND FORGET® data collection units. These units seamlessly gather essential data from fishponds. The collected data is then processed through advanced analytics and AI-based predictive tools, enabling precise oxygen management.

By focusing on oxygen levels within inland fishponds, DataValley ensures that aquaculture operations remain sustainable and productive. This comprehensive solution not only safeguards the industry but also provides peace of mind to those dependent on fish as a crucial protein source.

Identity

NameDataValley
Slugdatavalley
Type / kindstartup
Source _idyJWYNPpxTQrhjiFa931cHu8nNV0PA0L928MPedov4pTCR9ZVEVOxY6

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ cityBeit She'an
HQ addressBeit She'an, Israel

Web & social

LinkedInhttps://www.linkedin.com/company/92849030

Classifications

Primary sector Agriculture & Food Technologies
Sub-sectors
Climate TechFood & Land UseSustainable FarmingAgriculture & Food TechnologiesAg TechPrecision Ag
Technologies
Artificial Intelligence
Target customers
Agriculture & FoodMarine LifeFish
Business models
B2CB2B
Tags
sustainable-farmingaquaculturefood-securityartificial-intelligenceclimate-techfish-farms

Funding

Total raised
Current stagePre-Funding

Raw source document

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