Project Evergreen

Custom AI development company Riyadh Saudi Arabia enterprise solutions

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

PHYSICS INSPIRED NEURAL NETWORK3D MODELLINGDATA PREPROCESSING

AI-powered groundwater forecasting system to protect tropical peatlands and prevent forest fires in Indonesia.

We developed a custom AI model to forecast groundwater levels in tropical peatlands and simulate dam placement, helping prevent forest fires. The solution now supports the sustainable management of 1,200 km² of forest, reduces manual workload, and contributes to climate change mitigation.

AI for oil gas renewable energy sector Saudi Arabia Saudi Green Initiative

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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

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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