ParsifAI Text Neural Engine

Business Use case

Eliminate time-consuming and manual extraction of information out of domainheavy
binder documents to extract key information like premium, limit, retention,exposure, and
more. Key customers of the client include major reinsurancecompanies in Europe and the
US.

Client

InsurTech company on Wall Street.

Deployed and running in production with 20+ customers in the US and EU

Use cases solves

1. Document Classification: Whether the document is a valid reinsurance typedocument.
2. Keyword Extraction: Extract key entities from the document.
3. Table Extraction: Detect and extract data in tabular format.

Technologies Used

Python, C/C++, Django, OpenCV, Scikit-learn.