Project Stratus

Sector

Recursive-built AI for energy and environmental application

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

2025

Case Study

recursiveai.co.jp

CNNGPUML TRAININGDATA ANALYSISIMPLICIT MODELDIFFUSION MODELDATA PRE-PROCESSING

AI-powered system that forecasts localized rainfall with high spatial and temporal resolution.

We developed an AI-powered system that predicts localized rainfall at 1 km resolution and hourly intervals—28 times more detailed than traditional datasets. For a leading Japanese beverage company, it generated 20 years of precipitation data for mountainous regions in Japan and Spain, supporting their water cycle research.

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"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

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"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

View More Projects

"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry