How does

Ten56

Use AI?

Reduces manual workload and speeds up reporting

Project Overview

Automating data extraction from financial PDFs to streamline fund management.

Layman's Explanation

Instead of someone spending hours digging through financial PDFs, Ten56’s AI does it in moments, pulling out the numbers and summaries so people can get straight to the decision-making part.

Details

Ten56, a fintech firm, applies AI to extract and organize data from PDFs related to fund performance, which traditionally required tedious manual work by analysts. By using natural language processing, the system identifies key data points across varied document formats, converting them into structured insights that are usable for client reporting and internal analysis. This not only accelerates the turnaround time for client deliverables but also minimizes human error in critical financial data.

Analogy

It’s like replacing a human highlighter with a smart vacuum that sucks up all the important info and leaves the fluff behind.

Machine Learning Techniques Used

  • Natural Language Processing: Automates data extraction from financial PDFs.
  • Information Extraction: Converts data into structured insights.
  • More Use Cases in

    Finance

    3

    /5

    Novelty Justification

    NLP for financial document extraction is now a standard tool in fund management.

    Project Estimates

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