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How Moody's uses Domino Data Lab

nine months to four

“The end-to-end process from model development to deployment into production has been reduced by more than half, from nine months to four.”

As published on domino.ai. Captured by usedby on Oct 7, 2026.

What happened

Moody's uses Domino as a centralized platform to build, deploy, monitor and update its financial risk models, including a financial statement quality checker and a suite of default-probability models. Teams working in different tools such as R, SAS and Python collaborate on it and track model lineage.

Summary written by usedby from the source page, in English. The figures are those of Domino Data Lab and Moody's, not ours.

  • 6X“That’s a 6X performance acceleration.”
  • four times“The firm has also increased its model monitoring capability by four times using Domino.”

The end-to-end process from model development to deployment into production has been reduced by more than half, from nine months to four. They’ve improved ROI by streamlining model development and deployment.

From the page. domino.ai, captured Oct 7, 2026

Working with Domino gives us the ability to fully leverage our core strengths of working with financial data, building analytics, and applying those to our customers’ businesses.

Jacob Grotta, General Manager of Banking Operating Unit, Moody's. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: nine months to fourCheckedPrinted word for word on the page, near the name of Moody's.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Moody's.
  • Moody's uses Domino Data LabCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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