RAIOS

RAIOS unlocks actionable insights from unstructured data using automated data labeling and ontology discovery. Over 70% of AI applications require labeled data for training models. Currently, data labeling is done manually via crowdsourcing annotation services and Subject Matter Experts (SMEs). The existing process is costly, time-consuming, lacks data privacy, and generates labeled data that is prone to human error and bias. We introduce the first automated data labeling and ontology discovery software that is dramatically faster, more accurate, unbiased, compliant with data privacy requirements, and capable of automatic data cleaning. Our labeled data fuels AI. The key use cases of our technology include semantic search, sentiment analysis, automated feature engineering, decision support for sales & marketing, knowledge graphs, text analytics and data visualization, and natural language understanding. Our technology relies on unsupervised machine learning, deep learning, and natural language processing (NLP).