Project Streamline

Custom AI development company Riyadh Saudi Arabia enterprise solutions

Sector

Recursive-built AI for government and administration

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

Case Study

GNNML TRAININGGPUDATA ANALYSISDATA PRE-PROCESSINGHYBRID MODELSPHSYCIS MODELLING

Proprietary AI model for detecting potential leaks in metropolitan water pipelines.

This project aims to build a machine learning model capable of identifying potential leaks in city-wide water pipelines. By detecting issues early, the system reduces the manual effort needed for inspections and repairs, enabling faster maintenance, lower costs, and more sustainable water management.

Custom AI for Saudi Arabia government sector SDAIA NDMO compliance Recursive

"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