What we do
Take a moment to read about the work we do. Learn about collaboration possibilities and business opportunities for futures projects.
Computer Vision
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Recent scientific progress in deep learning has been achieved in a number of powerful AI machine learning algorithms for computer vision that creates possibilities for new applications. Some examples include classifying images, analyzing medical data, detecting, localazing, tracking or counting various objects in images and even generating new images. All these have applications in fields such as agriculture, medical, finance, security, planning and manufacturing.
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Object detection has a broad range of applications such as object counting, anomaly detection, and object tracking etc.
Anomaly detection
Anomaly detection aims at discovering patterns in data that do not conform to a notion of normal. This can be used in manufacturing defect detection, medical diagnosis, fraud detection, and so on.
Time-series analysis
AI deep-learning solutions can also understand and see patterns in great amounts of internal and external sequential time-series data. This can improve the prognostication and optimization of the production planning as well as increase internal productivity. Such solutions can be used in many industry segments, finance, marketing, sales prediction, retail, energy sector, manufacturing and process industries.