70

Out of 100

N/A

Post-money

$600M

All rounds

70/100

2016

500-1000 employees

March 2026

Pagaya operates an AI financial underwriting network that processes consumer loan applications on behalf of lenders, using machine learning models that evaluate creditworthiness across a broader set of data signals than traditional credit bureau scores, enabling lenders to approve more applicants while maintaining or improving default rates. The Tel Aviv and New York company monetises by taking a

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G

Gal Krubiner

Founder & CEO

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StagePublic
Employees500-1000
Country🇮🇱 Israel

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Public · No public funding round data available yet.

Frequently Asked Questions

What is Pagaya's valuation?
Pagaya's valuation is not publicly disclosed.
Who invested in Pagaya?
Investor information for Pagaya is not publicly available at this time.
When did Pagaya last raise funding?
No public funding round data is currently available for Pagaya.
How many employees does Pagaya have?
Pagaya has approximately 500-1000 employees.
What does Pagaya do?
Pagaya operates an AI financial underwriting network that processes consumer loan applications on behalf of lenders, using machine learning models that evaluate creditworthiness across a broader set of data signals than traditional credit bureau scores, enabling lenders to approve more applicants while maintaining or improving default rates. The Tel Aviv and New York company monetises by taking a network fee on loan volume processed through its AI underwriting system, funded by institutional investors who purchase the approved loan pools.\n\nThe company went public on NASDAQ via SPAC merger, having raised over $600 million in combined public and private funding from investors including Oak HC/FT and Viola Growth. Pagaya reports processing hundreds of billions of dollars in loan applications annually across personal loans, auto loans, and mortgage products, with network partners including SoFi, Ally Financial, and US Bank embedded in its origination technology. The business model operates as an AI network sitting between lenders who originate applications and institutional investors who fund approved loans.\n\nPageya competes in the AI credit underwriting market against ZestFinance, Upstart, and traditional credit bureau scoring models from Fair Isaac. Its network model, where multiple lenders access the same AI infrastructure and their collective data improves model performance over time, creates compounding advantages compared to single-lender AI implementations. The company has navigated regulatory scrutiny around AI lending decisions and disparate impact as financial regulators increase oversight of alternative data use in credit decisions.