Kareem Eissa's Contact Details

Kareem Eissa's Company Details

Visual and AI Solutions (VAIS)

Giza, Giza Governorate, Egypt • 6 Employees
Information Technology & Services

Visual and AI Solutions (VAIS) develops novel artificial intelligence and visual computing technologies that can be deployed on mobile/handheld devices and on the cloud. VAIS technologies enable smart applications in domains such as agricultural technology (AgriTech) and Earth Observation (EO) data analytics. Our AgriTech deep learning algorithms and modules enable advanced precision agriculture and delivers dependable field analytics to farmers, traders, and insurers. VAIS EO analytics facilitate management and processing of EO data obtained from multiple satellites through specialized scalable cloud-based architecture and intelligent data assimilation algorithms. A division of VAIS, called VAIS FinTech, develops financial technologies for instant alternative credit scoring and computation of credit worthiness of unbanked/underbanked customers as well as digital customer onboarding solutions. VAIS technologies are seamlessly integrated with existing enterprise systems to provide our customers with differentiating features and competitive solutions. VAIS is a Nile University spinoff and incubated company that is founded by established academics and is the culmination of many years of research and development experience. VAIS technical team is among the best in the region with impressive track record both academically and in industry. The team has delivered successful projects and grants working with national and international partners including Microsoft Research, the United Nations, and the Academy of Scientific Research and Technology, and the Information Technology Industry Development Agency. The team frequently achieves top rankings in international artificial intelligence/deep learning competitions such as CGIAR Wheat Disease Diagnosis, Radiant Earth Crop Identification in Satellite Imagery, DeepGlobe Land Cover Classification and UAVision Embedded Real-time Inference Challenge.