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.
Read Libra's story (opens in a new tab)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.
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
Published thinking
Books & Publications
My books and guides on applying AI in business.
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.