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AI analyzes weather data across 750,000 locations in 150 countries to discover climate twins beyond geographic distance — supporting food security and agricultural innovation.
Contributing to food security in the age of climate change. TWINZ is an agricultural innovation service that analyzes weather big data across 750,000 locations in 150 countries with AI to uncover new land potential.

A location in Nagano may have a climate twin in South Africa. A place in Kochi may resemble regions in Iran. And parts of Tokyo can mirror weather patterns found across the United States.
This is not coincidence. By analyzing nearly 100 years of weather data from past to future, we found hidden twins with remarkably similar climate patterns far from home.
Extreme weather and geopolitical tension are exposing vulnerabilities in global food supply chains. Diversifying production and strengthening regional resilience are urgent priorities.
Traditional agriculture relied on local experience and latitude rules. TWINZ judges cultivation potential from climate-pattern similarity, regardless of distance or latitude.
Compelling cases are emerging across Japan:
(In-house pilot) In Suginami, Tokyo, we successfully harvested kohlrabi — a crop grown in West Virginia, USA, 10,000 km away.

(My Farm) At Minori School in Tamba, Hyogo, students used TWINZ and said they wanted to try growing rare crops from overseas climate twins.

(annfarm orchard) In Kagawa, we recommended varieties that may become viable as the climate shifts, and the orchard is considering them for future production.
We are connected to the world through invisible threads of climate. TWINZ is a tool to discover possibilities we never imagined. Let's build interesting businesses together with your imagination.
Combining your data with our weather data enables applications across industries:
We first grew American kohlrabi in our Suginami field with great success — one of several adoption cases with individual farmers and enterprises.
We have received many inquiries and have multiple adoption cases. See our article on the Oga Peninsula, Akita case for a report-style reference.
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Share your ideas for climate-data use in agriculture, food, finance, and more.