Industry: Finance
Automated information extraction

Client:

Fintech company

Situation:

  • overload in manual processing of a large number of long (up to 500 pages) documents
  • tedious, repetitive and error-prone process
  • a bottle-neck that resulted in delays and unsatisfactory quality

Solution:

Deep Learning and NLP for named entity recognition

Business Value:

  • improved speed of documents processing
  • eliminated bottle-neck and delays; improved quality of extracted information
  • reduced cost of manual labor
Automated Information Extraction