

A technically accurate response isn’t always useful, and a useful answer isn’t always technically complete. What does this mean for AI in structured finance?

The Structured Finance Hackathon 2025 showcased innovative prototypes addressing climate risk and financing issues in structured finance. Here are some of the standout tools.

Imagine sifting through a 300-page deal where every page hides important clues, from cash flow waterfalls to subtle risk triggers, that could make or break a deal. It’s a high-stakes industry, and every decision made based on incomplete or inaccurate information has consequences. But there’s something that makes navigating this chaos easier. Prospekto by EagleEyeAI

It’s 1994: analysts are skeptical—Lotus 1-2-3 feels safe, but Excel is quietly transforming how analysts get work done. Fast-forward to today, and the structured finance industry is facing a similar shift with the recent advancements in AI.

Data analysis in structured finance just got smarter. Say goodbye to tedious workflows with Deeploans, the open-source ETL framework that improves data quality and accelerates insights.