Staple
Allen Antony is a Senior Machine Learning Engineer at Staple. Prior to this role, Allen worked as a NLP Engineer at AutomationEdge. Allen also has experience as a Research Assistant at the International Institute of Information Technology, where Allen developed tools for various IR tasks for Novartis Clinical Data. Allen has also held positions such as an Undergraduate Teaching Assistant and has completed various internships related to machine learning and NLP at companies such as Google Summer of Code and SentiSum. Allen holds a B.Tech + MS by Research degree in Computer Science from the International Institute of Information Technology Hyderabad.
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Staple
Relying on humans to extract, enter and manage data is a valuable waste of resources. These activities can be slow, error-prone and expensive, and worse still, no employee enjoys this sort of mundane, repetitive work. Staple has developed an ML tool that reads, interprets and extracts structured data from documents faster, more accurately and more affordably than any human can, at scale. Our data extraction capabilities operate successfully regardless of layout or language. Although business documents like invoices and receipts are common use cases for AP automation, we can an also capture data from semi-structured and unstructured documents including medical claims, bills of lading, trade settlement documentation and many more.