Project Flow

Sector

Recursive-built AI for large scale logistics

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

Case Study

GNNGPUML TRAININGDATA ANALYSISHYBRID MODELSDATA PRE-PROCESSING

Custom AI model for understanding public transit commuter behaviour.

For governments, understanding the movement of the population in urban centers is key to city planning and efficient resource utilization. Project Flow takes a stream of GPS data per user as they utilize public transit and uses an in-house develped AI and statistical model to understand travel patterns and user behaviour.

"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