Corporate Action Data Extraction

Unlock the power of Generative AI and Natural Language Processing (NLP) to automatically extract and understand key information from unstructured sources. Our solution minimizes manual effort and accelerates corporate action processing, enhancing accuracy and efficiency.  

The Challenges of Manual Data Extraction

The conventional process of manually extracting corporate action data is not only time-consuming but also can cause potential errors due to human intervention. Analysts often face the tedious task of navigating different document formats to identify and input relevant data, leading to inefficiencies and delays in processing critical financial information. This manual effort can significantly impact downstream processes and decision-making, resulting in data quality issues and operational bottlenecks.

To address these challenges, we are excited to introduce an automated data extraction solution that retrieves key data elements from a variety of sources and formats. By using LLM, our new system efficiently extracts the most relevant information, ensuring accuracy and enhancing data quality throughout the corporate actions process.