# Not Missing a Single Detail: Hebbia's Financial AI Gets a 20% Accuracy Boost With Claude Fable 5

Hi everyone, it's Shiichan! Today's story is about how far AI can be trusted in finance, a field where missing even one detail just isn't an option.

## What was announced?

Another "Working at the frontier" post on the Claude Blog covers Hebbia, which builds an AI platform for financial due diligence, and how they're putting Claude Fable 5 to work.

According to Divya Mehta, Hebbia's founding product manager, Fable 5's biggest strength is "the ability to find the right information from a dense data set, and then synthesize it correctly." Researcher Joe Renner says it's the best performance he's measured across any new model.

## The story so far

With earlier models, complex multi-part requests would sometimes end up with a few questions quietly dropped along the way. In finance, where decisions ride on getting every detail right, that kind of gap can be a serious problem.

## What changes

Claude Fable 5 can hold onto complex, multi-part requests at once without dropping any of them. Rather than inferring an answer, it grounds each claim in the actual source documentation.

On question-answering and citation tasks over financial documents, that translated into roughly a 20% relative accuracy improvement, the largest accuracy gain Hebbia has recorded in finance-specific testing.

Hebbia's platform is used by more than a third of the top 50 asset managers, plus tier-1 investment banks and law firms. Their benchmarks compare against whatever model they're about to replace, and the bar is set intentionally high since customers rely on it for deal-level decisions.

## Dive Deep

Tasks like building an investment deck, which used to take 2-3 days, can now be compressed down to minutes. That frees up bankers to focus on strategic positioning instead of compiling data.

## Wrap-up

- Hebbia, a financial due diligence AI company, recorded its largest-ever accuracy improvement with Claude Fable 5
- About a 20% relative accuracy gain on question-answering and citation tasks over financial documents
- Complex multi-part requests no longer get dropped, and claims are grounded in source documents
- Tasks like investment deck creation went from 2-3 days down to minutes in some cases

Worth watching if you're curious how far AI can go in fields like finance and law, where there's zero room for missed details.