AI document analysis for data processing

85-90%
enhanced data extraction accuracy
AI document analysis for data processing
We worked with our client to optimize their AI-driven document analytics platform, improving data extraction accuracy.
Industry:

Computer Software

Location:

USA 

Team Size:

1 Data Engineer, 3 Full-stack Developers, 1 PM, 1 QA, 1 DevOps

Duration:

6+ months

Technologies
Python
Java
String Boot
Keycloack
PostgreSQL
ElasticSearch
Snowflake
Angular, TS
Sigma Dashboard
Google Looker
Google Cloud Build + Kubernetes Engine
01

About the Client

The client provides AI-powered solutions to automate document review, turning unstructured data into structured formats. It enhances accuracy, reduces costs, and is tailored for industries like finance and real estate.

AI document analysis for data processing
02

Project Overview  

Our client received a powerful solution and a skilled team to estimate and implement the their requirements. 

Document Parcing

A central access point to store contracts and documents: Load Documents from PC, Dropbox or Google Cloud, Documents Preview, Parcing Quality check, summary on numbers of predictions, spreadsheets and labels, possibility to edit parced documents.

AI Driven Predictions

Functionality to highlight important/selected areas of the document based on user settings, Changes Audit, possibility to improve predictions, hide and add new.

Data Extract

Automated data extraction simplified with artificial intelligence.

Intelligent File Analytics

Intelligent analytics to categorize documents and retrieve data.

Interactive Dashboards

Management of Dashboards and Charts, powered with a filters set.

Data storing and monetization

Customer-centric data clouds which can be monetized and stored for future use and review.

03

Results  

Crunch made significant improvements in the correct work of the AI search, fixed bugs, and redesigned the platform, which is more user-friendly for end-users. 

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