Credit decisions aren't made in isolation. They're made in context — against peers, relative performance, and shifting fundamentals across a sector. Comparing across multiple factors is time-consuming, especially when dealing with information from many sources, on a recurring basis.
Research Grid changes that.
Designed to be an analysis engine that allows users to quickly identify trends and spot outliers across a range of dimensions — issuers, earnings calls, and across instruments — surfacing the insights that drive decisions instantly.
In its first iteration, and live today on 9fin, Research Grid lets you compare up to eight companies side-by-side using AI-driven synthesis built on 9fin's proprietary data and credit expertise — turning what used to take hours into minutes.
It reviews earnings transcripts, filings, offering memorandums and 9fin's proprietary analysis, surfacing differences in operating performance, leverage, liquidity and management commentary in one clean, side-by-side view.
The frameworks are yours to shape. Start from 9fin’s default question library — defined by our own credit and legal analysts — or write your own questions tailored to how you think. Save all your selections and re-run so you never start from a blank page again.
"Scaling to 5-10 peers makes it a real time-saver." — analyst, global investment bank
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Whether you're running relative value analysis, building comp sets for origination, or initiating coverage on a new sector, Research Grid provides a repeatable, configurable way to scan, compare and spot outliers.
Research Grid builds on a framework 9fin has developed with credit professionals since 2016 — from early vertical comps in our bond and loan databases to AI-powered earnings call transcript analysis.
The structure was designed by practitioners; AI now executes it at scale with every insight cited, and traceable to source.
Schedule a personalised walkthrough with one of our specialists.
