Multimodal customer outcomes

Customer outcomes

Hours to minutes.

Libra Internet Bank reduced analytical workbook preparation from hours to minutes and achieved 93.6% cell-level extraction accuracy on native-digital documents, with analysts still in the review process.

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99% accuracy.

FORUM Credit Union reached 99% accuracy in both document classification and data extraction across auto-loan packages, while generating explainable decisions with full audit trails and live Temenos integration.

Read FORUM's story (opens in a new tab)

Career

Experience

Before Multimodal, I co-founded Glean AI and led data science at 7Park Data, which was acquired by Vista Equity Partners. My career spans AI, banking, and investing, starting as a fixed-income trader at Bridgewater.

Building AI companies

Co-Founder and Head of ML

Leading applied AI

VP, Data Science

Lead Data Scientist

Financial services foundation

Fixed Income Trader

Corporate Strategy Analyst

Founder and Chief Investment Officer

Education & Honors

Princeton University

Woodrow Wilson School

Lieutenant John A. Lark Memorial Prize

Build with Multimodal

What's slowing your team down?

Tell me which workflow takes too much time, where it gets stuck, and what you'd like to improve. Let's see whether Multimodal can help.

Email Ankur

ankur@ankurapatel.io