GLOBALIS S.A.

Globalis S.A. was hired by DAPI, an AgriTech startup, to improve their AI algorithm and develop a user-friendly interface for their precision farming products. The project involved the integration and development of software for the automation of a machine learning process. This software allowed for the identification, quantification, and measurement of fruits through aerial images taken by drones. Globalis successfully developed a real-time object recognition system and an image processing software using Python, AI Algorithms, Machine Learning, and Deep Learning. The team, which consisted of two developers and a project manager, was lauded for their expertise and efficiency.

Yalla Collect, a web platform based in the GCC, hired Globalis S.A. for the development of their Minimum Viable Product (MVP). The project was designed to protect companies from late payments by integrating accounting systems with an interactive web portal. The result was a platform that facilitated faster payments, improved customer service, effective decision making, and cash flow forecasting. Globalis was praised for their efficient project management, which included daily meetings, end-of-sprint demos, and constant communication. The team consisted of a front-end developer, a back-end developer, and a DevOps.

Globalis S.A. was contracted by a leading provider of supplemental executive benefit solutions to enhance the code for one of their core platforms. The project involved the development of core functionality for partially assembled development units. Despite the complex nature of the task and the strict compliance requirements, Globalis was the only company able to meet the demanding criteria. The code delivered by Globalis consistently met expectations, and the team, which included two developers, the head of development, and the CEO, was commended for their awareness of the project scope and their ability to deliver quality work on time and within budget.