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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
$16.1B
Above
Industry Average
Funded Over
34 Rounds
Health Insurance
Paid Vacation
Flexible Work Hours
Pagaya Technologies has appointed Jason Gardner, founder of Marqeta, to its board of directors following shareholder approval in August. Gardner brings extensive experience in building and scaling payments platforms, adding industry-specific expertise that could influence Pagaya's development of its AI-driven financial technology offerings. The appointment comes as Pagaya was added to the Zacks Rank #1 (Strong Buy) list, following a double-digit increase in earnings estimates. Analysts project $2.0 billion in revenue and $394.6 million in earnings by 2029, with some estimates suggesting a fair value of $28.80, representing a 41% upside to current price. However, investors face risks including regulatory scrutiny of AI underwriting, credit risks, and potential commoditisation of AI underwriting technology. More cautious analysts forecast around $2.1 billion in 2029 revenue and $421.7 million in earnings.
Pagaya Technologies has secured a $700 million forward flow agreement with Neuberger Specialty Finance for auto loans sourced through its lending network. This marks Pagaya's second auto forward flow deal and its first such agreement with Neuberger, despite an existing multi-transaction relationship between the firms. The deal supports what Pagaya describes as record growth in its auto platform whilst reinforcing its strategy of building predictable, long-term funding through diversified capital solutions. Neuberger Specialty Finance, Neuberger's Asset Based Finance arm, manages over $5 billion across more than 50 portfolio companies. Since its 2018 inception, the group has invested over $16 billion through 80 global origination partners.
Pagaya Technologies and Enova International both operate in technology-enabled lending but use different models. Pagaya provides AI-powered credit technology to banks and fintech partners, connecting loans with institutional investors. Enova lends directly to consumers and small businesses. Pagaya has expanded beyond personal loans into auto lending and point-of-sale financing. The company works with over 170 institutional partners and uses forward flow agreements where investors commit to purchasing loans in advance, providing funding stability. Pagaya's asset-light structure limits credit risk, as loans transfer quickly to asset-backed securities vehicles or investors. In the first half of 2026, revenues rose to $705 million from $616.4 million year-over-year, while operating expenses increased modestly to $519.2 million from $512.2 million. Management expects 2026 GAAP net income of $155-180 million and adjusted EBITDA of $460-490 million.
Central banks signalling fewer interest rate hikes could support early-stage AI companies outside big tech. A new screener has identified 29 AI small-cap stocks positioned to benefit from the next wave of machine learning and automation. Butterfly Network, a medical imaging company, combines handheld ultrasound devices with AI-powered Compass software. The firm recently posted record quarterly revenue with strong gross margins. However, it remains unprofitable and trades at a high price-to-sales multiple, whilst experiencing significant insider selling. Pagaya Technologies operates an AI-driven loan decisioning platform serving banks, fintechs, and auto lenders. The platform assesses and prices consumer and small business credit in real time. The screener surfaced 26 additional companies with similar growth potential in AI-powered sectors.
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.
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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