Automated Information Extraction


Year2017 – Ongoing

RoleAdvanced Analytics

TechnologyMicrosoft Azure

Reduce turnaround and increase efficiency.
By leveraging advancements in AI and ML.

Our UK-based Insurance client’s requirement was to improve the performance of home-grown traditional data warehouse/ BI platform and use NLP to extract claims information.


Exciting new automation possibilities.
Significantly brings down operational cost.


We started off by automating the QA test suite using open source stacks—nBI, nUnit, and GenBI. We also built a Machine Learning-based Natural Language Processing (NLP) model using Apache Spark to extract claims information from scanned PDF documents. Test automation resulted in better operational efficiency. We are currently working towards achieving 100% data accuracy by training the Machine Learning-based model.


AI powered digital bots.
Improves process and business efficiency.

Our NLP-based data extraction solution provided to be a game-changer significantly bringing down the operational cost.

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