Document Processing is a critical capability for the world´s best performing companies. Every business today must deal with massive volumes of data, most of which is unstructured and locked in documents.
Solutions so far, like manual data entry and latest RPA (Robotic Process Automation) systems are totally insufficient when trying to scale to millions of documents and process natural language style written documents, respectively.
In this challenging context, the Spanish company has developed a syntactic-semantic engine based on a hybrid approach that combines statistical with symbolic processing.
The solution provides digitalization for any data process that is carried out by manual data entry. It classifies and extracts any data from any document according to the taxonomy needed for each project.
Main solution features are the following:
-Deployment modalities: On premise or on cloud
-Integrability: It can be integrated with various repositories, document management systems, BPM (Business Project Management) solutions, RPAs (Robotic Process Automation), etc.
-It can work with any OCR (Optical Character Recognition) system.
-It supports natively all main European Languages: English, Spanish, German, French, Italian, Portuguese, among others.
-It is based on NLP (Natural Language Processing) technology and AI (Artificial Intelligence) and supervised learning is applied in order to achieve high success rates from the beginning.
-The data extraction success ratio exceeds 95%. and the document classification exceeds 98%.
The solution is specially useful for those sectors that manage huge amounts of manual data classification and extraction such as banking, insurance, real estate, etc.
The company has already successfully deployed its solution in many of the main Spanish business players, mainly in the sectors mentioned above, and now is ready to start its international development through ICT integrators under license agreements.