Data Extraction
Having properly structured data is crucial for true digitization, process automation, and improved data analysis. Our AI-powered data extraction solution uses cutting-edge NLP and computer vision systems to extract and transform unstructured data into structured formats from various sources like PDF, docs, web, news feeds, images, etc., and also from any formats like - tables and graphs.
To raise the bar, our AI solution can identify missing fields, signatures, stamps, comments, etc., apart from data extraction.
Latest Posts
How to Spot Fake Bank Statements
With evolving digital transactions and sophisticated fraud techniques, the need for robust fraud detection mechanisms is equally increasing. One area where this is particularly pertinent is in identifying fake bank statements, a common tool fraudsters use to manipulate financial information.  Imagine a slow and error-prone verification process trying to interpret the increasingly sophisticated tactics […]
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Top Trends in Investment Banking
The investment banking sector is currently grappling with several challenges. These include dealing with capital charges, digital adoption, rigid cost structure, intricate and layered technological stacks, and increased regulatory demands. As a result, various investment banks shifted their emphasis from conventional underwriting services to concentrate more on alternatives such as mergers and acquisitions and fundraising […]
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Leveraging AI for Advanced Lending Fraud Detection
Fraud has plagued the lending industry for many years. Fraudulent behavior in lending can take many forms, including identity theft, loan stacking, and money laundering. To combat these issues, lenders increasingly turn to artificial intelligence (AI) for fraud detection. AI has the potential to transform fraud detection in lending by enabling lenders to analyze vast […]
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