Computer vision
Financial process automation with computer vision
Automating steps in financial processes using computer vision, raising the efficiency of the process end to end.
Read caseCase / NLP
Automated PDF extraction using IDP
An automatic document-processing pipeline combining intelligent document processing with supervised entity extraction from natural-language text.
Challenge
A financial services company needed to make customer onboarding faster while accurately reading the entities and relationships in complex contracts.
Scope
Read PDF contracts, identify the parties and powers granted, and make legal text easier to work with in the registration process.
Approach
An intelligent document-processing pipeline combined document recognition with supervised extraction of entities and relationships from natural-language text.
Outcome
93%
Entity extraction accuracy
95%
Relationship detection accuracy
The published case reports 93% accuracy for entity extraction and 95% for detecting relationships between entities.
More work
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Click-through rate lift for a multinational CPG
Behavioral analysis, segmentation to reach the right audience, and an optimized smart exit-intent design working together to raise engagement.
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