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TWINZ

AI analyzes weather data across 750,000 locations in 150 countries to discover climate twins beyond geographic distance — supporting food security and agricultural innovation.

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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.

Another place, connected by invisible threads

World map color-coded by similar climate zones
A world map showing areas with similar weather conditions in the same color (global coverage excluding Antarctica).

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.

A new idea for food security in a changing climate

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.

Agriculture of the future, starting here

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.

Harvested kohlrabi with tomatoes and eggplants in Suginami
Kohlrabi has a white, turnip-like interior with a cabbage-like flavor — an unusual and delightful vegetable.

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

Characteristics and cultivation conditions of kiwifruit and yangmei from Huangshan, Anhui
Rare fruits from Anhui Province, China, selected by students

(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.

Shimpei Akatsuka, Co-Founder & CEO, Penguin Labs

Cross-industry applications through data fusion

Combining your data with our weather data enables applications across industries:

  1. Food manufacturers: sourcing diversification, product development from similar-climate food cultures, proactive climate-impact planning.
  2. Financial institutions: quantitative climate risk for agri-finance, resilience scoring, insurance product design.
  3. Others: retail procurement, logistics routes, and experiential agritourism built on climate similarity.

In-house validation (details)

We first grew American kohlrabi in our Suginami field with great success — one of several adoption cases with individual farmers and enterprises.

Service overview

We have received many inquiries and have multiple adoption cases. See our article on the Oga Peninsula, Akita case for a report-style reference.

Contact

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Share your ideas for climate-data use in agriculture, food, finance, and more.

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