Project Trace

Sector

Recursive-built AI for energy and environmental application

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

2025

3D MODELLINGDATA ANALYSISHYBRID MODELSDATA PREPROCESSINGPHYSICS INSPIRED NEURAL NETWORK

AI-powered groundwater pollution model that identifies contamination sources and predicts long-term spread.

We developed an AI model that pinpoints pollution sources using minimal measurement data, simulates how contaminants spread, and forecasts future risk. The solution helps governments and industries reduce environmental impact, cut remediation costs, and ensure regulatory compliance in groundwater management.

"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

"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

"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