Claro assists your Al training by replenishing and gathering data sets, testing and evaluating Al models, helping in the learning process, and assessing the model readiness for deployment.
Claro supports your Al performance by obtaining and maintaining sufficient and high-quality data for it, rigorous cleaning and preprocessing, constant monitoring and adjustment of learning techniques.
Claro validates Al data and models using appropriate evaluation metrics and cross-validation techniques, providing comprehensive feedback and continuously improving model efficiency.
Claro ensures thorough meaningful annotation and labeling for all data types and sizes: text, images, video, geospatial, etc.
Claro works with several organisations developing specially designed Al-related solutions to serve
