Visual and AI Solutions (VAIS) is a deep-tech company that was founded in 2020 as the culmination of many years of advanced R&D and practical project experience in the areas of visual computing, machine learning, remote sensing and big data engineering. VAIS is currently one of the leaders in precision agriculture and geospatial intelligence in Africa and the MENA region.
Our key differentiating values are innovation, technical excellence, loyalty and team spirit. We take pride in our competency to create game-changing technologies and capacity to deliver them. We have a great confidence in our team and pursue a unique management style with emphasis on our nearly flat organizational structure that encourages collaboration and self-development while being committed to the company's goals and objectives.
To push the limits of artificial intelligence technologies in order to enable innovative solutions and unlock new opportunities in the precision agriculture and geospatial intelligence markets.
AI-based technologies will have significant impact on our modern society and VAIS aspires to positively contribute to this ongoing transformation for a brighter and more inclusive future.
VAIS develops novel artificial intelligence and visual computing technologies that can be deployed on mobile/handheld devices and on the cloud. We specialize in deep self-supervised learning models that learn from massive non-labeled remote sensing datasets and exploit the abundance of Earth Observation (EO) data to create meaningful insights and facilitate informed decision-making.
Our pioneering technologies include Virtual Field Probing (VFP) technology and Global Soil Moisture Engine . Both deliver robust predictions and differentiating features that empower companies working in several industries and applications including agriculture, environment & sustainability, socioeconomic mapping, oil & gas, and security & surveillance.
VAIS technical AI team is among the best in the region with impressive track record both in industry and in academia. The company is supported by a strong advisory board from top-ranked universities including Imperial College London and Harvard University.
Our team regularly participates and achieves top rankings in international computer vision and 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.
We do business in different capacities with many prominent national and international entities including: