Implementation of VDU to improve internal processes in a leading company in the financial sector

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setor financeiro


The main objective is to enhance efficiency and enrich the customer experience during the registration process in a prominent company in the financial sector. This involves the accurate extraction of key information (such as entities and relationships) from contracts, a complex and critical task.


The task involves reading contracts in PDF format and extracting relevant information from all parties involved. This includes summarizing the contract and understanding in detail the described power of attorney, as well as its limitations and applications. The focus is on making legal text accessible and manageable.


The solution is the creation of an automatic document processing pipeline, which combines advanced technologies such as optical character recognition (OCR) with supervised extraction of entities from natural language texts. This integrated approach allows for accurate and quick analysis of documents, translating into a smoother and more efficient user experience. This implementation represents a significant leap forward in the way the company handles its registration processes, placing it at the forefront of technological innovation in the financial sector.


93% assertiveness in entity extraction

95% assertiveness in detecting relationships between entities

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