Category: Engineering

Our consumers used to face a few common pain points while searching for food with the Grab app. Sometimes, the results would include merchants that were not yet operational or locations that were out of the delivery radius. Other times, no alternatives were provided. The search system would also have difficulties handling typos, keywords in […]

In earlier articles of this series, we’ve covered the importance of graph networks, graph concepts and how graph visualisation makes fraud investigations easier and more effective. In this article, we will explore how we use graph-based models to tackle fraud detection as fraud patterns increase and diversify. Grab has grown rapidly in the past few […]

Introduction The foundation for making any map is in imagery, but due to the complexity and dynamism of the real world, it is difficult for companies to collect high-quality, fresh images in an efficient yet low-cost manner. This is the case for Grab’s Geo team as well. Traditional map-making methods rely on professional-grade cameras that […]

Introduction Grab’s real-time data platform team, also known as Coban, has been operating large-scale Kafka clusters for all Grab verticals, with a strong focus on ensuring a best-in-class-performance and 99.99% availability. Security has always been one of Grab’s top priorities and as fraudsters continue to evolve, there is an increased need to continue strengthening the security […]