Published in the SFA Structured Finance Journal

We're excited to share that our white paper, “The Power of Universal LLM Data Ingestion to Build Generative AI-Powered Metadata,” has been officially published in the Structured Finance Journal.

Co-authored by Bruno Lorenzelli and our CTO, Zivko Krstic, this work explores how Large Language Models are reshaping the structured finance landscape by automating metadata generation. Traditional data workflows in credit and securitization are often manual, fragmented, and error-prone. Our research shows how generative AI can solve this with universal ingestion, scalable insights, and robust compliance — all within one intelligent framework.

Special thanks to Elen Callahan, Managing Director, for this work with us, and to the Structured Finance Association for their continued leadership in innovation and industry collaboration. This is a proud moment for Scalata.ai and Exchange Robotics.