GLOBALIS S.A.

Globalis S.A. was contracted by DAPI, an AgriTech startup, to enhance their Artificial Intelligence algorithm and develop a user-friendly interface. The project involved the integration and development of software for the automation of a machine learning process. The software was designed to identify and measure fruits from aerial images captured by drones. The Globalis team, which included two developers and a project manager, developed a real-time object recognition system and an image processing software using technologies such as Python, AI Algorithms, Machine Learning, and Deep Learning. The project was successful and met the expectations of DAPI.

Globalis S.A. was hired by Yalla Collect, a web platform based in the GCC, for the development of a Minimum Viable Product (MVP). The project aimed to create a digital solution to help regional companies collect cash faster and protect against late payments. The scope of work included project planning, integration with accounting systems, and the development of an interactive web portal. Globalis worked efficiently, providing daily updates and delivering the project in four stages, with two sprints each. The final platform offered faster payments, improved customer service, effective decision-making, and cash flow forecast.

The company was engaged by a financial services provider to enhance code for the migration of one of their core platforms. Globalis was selected following an evaluation process involving several vendors. The company distinguished itself by delivering quality work within the set deadlines and budget constraints. The scope of work involved developing core functionality for partially assembled development units. The code delivered by Globalis consistently met the client's expectations. The team from Globalis included two developers, the head of development, and the CEO. The project was completed successfully, meeting all the client's requirements.