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Pagaya Investments uses artificial intelligence to manage institutional money through asset management products, especially asset-backed securities (ABS). It analyzes large datasets with machine learning to uncover opportunities in complex credit markets and to understand consumer behavior, then issues and actively manages AI-driven ABS for institutional investors. The product works by collecting data, training models to forecast cash flows and credit risk, structuring ABS, and continuously supervising them with AI, often in collaboration with tech-enabled partners. The company differentiates itself through large-scale, AI-powered active management of ABS, data-driven consumer insights, and an ecosystem of partnerships, enabling rapid development of end-to-end financial solutions. Its goal is to grow asset management by delivering AI-enabled financial products that deepen understanding of consumer behavior and improve returns for institutional clients.
Industries
Data & Analytics
Fintech
AI & Machine Learning
Financial Services
Company Size
201-500
Company Stage
IPO
Headquarters
New York City, New York
Founded
2016
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Total Funding
$15.4B
Above
Industry Average
Funded Over
33 Rounds
Health Insurance
Paid Vacation
Flexible Work Hours
Pagaya Technologies raised its full-year 2026 guidance for network volume, revenue, and GAAP net income following strong second-quarter results. The company reported revenue of $387.04 million and net income of $45.27 million for Q2 2026, with diluted earnings per share of $0.49. Management now expects full-year 2026 GAAP net income between $155 million and $180 million, up from previous forecasts. The upgraded guidance reflects stronger operating performance from Pagaya's AI-driven underwriting engine and asset-backed securities funding model. The improved outlook supports the company's strategy of scaling network volume and fee income. However, investors face risks including potential regulatory oversight of AI credit models and credit cycle fluctuations that could impact partner growth and transaction volumes.
Pagaya Technologies reported record Q2 2026 results with network volume reaching $3.5 billion, up 33% year-over-year. Total revenue hit a record $387 million, increasing 19% year-over-year. The company achieved GAAP earnings per share of $0.49 and net income of $45 million, up from $16 million in the prior year. Adjusted EBITDA rose 43% to $124 million with a 32% margin. Core operating expenses decreased 6% year-over-year despite significant volume growth, demonstrating strong operating leverage. The company raised $3.7 billion in funding during the quarter and expanded its investor network to 174 participants. However, fee revenue less production costs as a percentage of network volume contracted 60 basis points sequentially to 4.2% due to product mix and elevated benchmark rates. Pagaya expects point-of-sale volume to decrease in late Q3 and Q4 following a partner roll-off.
Pagaya Technologies Ltd. (NASDAQ: PGY) (“Pagaya”), a global technology company delivering AI-driven product solutions for the financial ecosystem, today anno...
Pagaya Technologies has closed an upsized $900 million AAA-rated asset-backed securities transaction backed by personal loans. The PAID 2026-5 deal attracted 37 investors, including four new to Pagaya's ABS platform and five new to its PAID shelf. The transaction brings Pagaya's year-to-date personal loan ABS issuance to $4.7 billion and total 2026 issuance to $7.5 billion, both company records. Twenty-four new investors have joined Pagaya's ABS platform this year. Sahil Chandiramani, head of capital markets at Pagaya, said the upsizing reflects acceleration of the company's personal loan platform and strong repeat demand from institutional investors. Pagaya uses AI and machine learning to provide consumer credit products through its partner network.
Pagaya Technologies LTD. (NASDAQ: PGY) ("Pagaya" or the “Company”), a global technology company delivering AI-driven product solutions for the financial ecos...
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Industries
Data & Analytics
Fintech
AI & Machine Learning
Financial Services
Company Size
201-500
Company Stage
IPO
Headquarters
New York City, New York
Founded
2016
Find jobs on Simplify and start your career today