Idéevin is a Semantic Intelligence Platform that uses NLP and ML to extract insights from structured and unstructured data. Its technical architecture consists of data collection and integration, data cleansing and enrichment, NLP engine, ML engine, analytics and visualization, and data storage layers
Semantic Model is responsible for creating a semantic representation of the data by defining relationships and concepts in the data. Here, data is represented as a graph of concepts and relationships.
NATURAL LANGUAGE PROCESSING
Idéevin uses NLP to understand the meaning behind words and phrases in a human-like way. This allows it to interpret and analyze data with a higher level of accuracy and relevance than traditional analytics tools.
Idéevin uses ML algorithms to identify patterns and relationships in data. These algorithms are trained on large amounts of data, enabling them to continually improve their analysis capabilities over time.
Idéevin is responsible for storing the knowledge and insights generated by the analytics engine. This includes storing the semantic model, machine learning models, and the results of the analysis.
Advanced Differential Privacy Techniques to enable secure sharing of sensitive data while maintaining individual privacy.
Enabling users to incorporate the platform's capabilities into their existing workflows and processes.