About the client
A leader in the data provider sector. With a portfolio of more than 3,000 clients, the company is renowned for its customized approach to building regulatory compliance, portfolio management and exceptional customer service.
The challenge
- Financial editors must sort and summarize a constant stream of market-related content.
- Vast amounts of data in financial reports demand precise, automated identification of instrument details.
- Manual summarization and extraction is too slow for real-time decision-making.
What we did
- We finetuned a GPT-based model for summarization and integrated into Infront’s editing tool, allowing editors to highlight text and instantly see a concise summary, which they can refine interactively.
- We trained a custom model to parse report tables, map each entry to the correct financial taxonomy, and output structured data for immediate analysis.
Benefits for the client
- Editors can produce digestible, high-value financial updates more quickly, staying ahead in a real-time trading environment.
- Huge time savings in data handling, fewer errors, and near-instant availability of structured financial information for analytics or publication.
