AI Lending Network | Pagaya
Pagaya Technologies Ltd. · Other
Pagaya is an AI lending network that connects to a lender's origination system via APIs and reviews loan applications in real time, helping partners approve more borrowers without balance sheet risk.

About AI Lending Network | Pagaya
What Is Pagaya
Pagaya is a lending technology company, not a consumer lender. Banks, credit unions, fintechs, and auto dealers connect their loan origination software to the Pagaya network through an API. Pagaya's models read each application as it arrives, return a decision or a stronger offer, and its institutional investors fund the loans a partner would otherwise turn down.
The problem it targets is narrow underwriting. Most lenders still score applicants on a small set of bureau signals, which pushes out people who would have paid on time. Pagaya says its network has evaluated $4T in applications and generated more than $45B in new credit across 35+ lending partners. Treat those numbers as company-reported, not audited results.
The limits matter as much as the pitch. Pagaya works business to business, so there's no app for borrowers and no signup page for a small lender. Pricing is quoted per partner, the compliance work is built around US lending rules, and funding volume depends on how much capital its investor network wants to deploy in a given quarter.
Getting Started
- Contact Pagaya's partnerships team and agree on which products to run: personal loans, auto loans, point-of-sale, or decline monetization.
- Connect your loan origination system to the network through Pagaya's loan origination API.
- Set the credit parameters and pricing rules your institution will accept. Pagaya decisioning stays inside them.
- Go live, then track approval rates, conversion, and funded volume in your own systems.
Product Information
A quick look at AI Lending Network | Pagaya's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Banks and credit unions
- Fintech lenders
- Auto lenders, captives, and dealers
- Merchants and marketplace operators
Tasks
- Approving applicants who miss your cutoff
- Raising conversion on applications you already paid for
- Cutting document verification time
- Presenting a better offer to strong applicants
Scenarios
- You want origination growth without balance sheet growth
- You are adding a new loan category
- You already buy traffic and lose too many applicants at the decision step
Key features
Real-Time Decisioning Through One API
Pagaya processes applications inside the lender's existing flow rather than sending customers to a separate site. The company advertises 0% added latency for network processing, meaning the applicant waits no longer than your own system takes. That single integration point is what makes the rest of the product line usable.
PGY First Look
First Look is the core approval expansion tool. When your rules decline an applicant, Pagaya's AI credit decisioning scores the same application against a wider set of signals and can return an approval under your brand. The loan is funded through Pagaya's network, so it does not sit on your books.
PGY Dual Look
Dual Look handles the opposite case: applicants you would already approve. It produces multiple offer structures and shows the version most likely to convert, while staying within the rate and term limits you set. For lenders with competitive markets, this is less about volume and more about winning the borrowers you already reached.
Fast Pass
Fast Pass attacks the back half of the funnel. Instead of requesting every possible document, it works out which stipulations an applicant actually needs and skips the rest. Fewer uploads means shorter approval to funding time, less operations work, and fewer applicants who give up halfway through.
Decline Monetization
Decline monetization packages First Look for lenders who treat every rejected application as sunk marketing cost. The declined applicant gets an offer from the Pagaya network instead of a dead end, the lender keeps the customer relationship, and the revenue is incremental because the loan never touches its balance sheet.
Institutional Funding Network
None of the approval expansion works without capital. Pagaya routes funded loans to 170+ institutional investors and has completed 100 asset-backed securitizations, including a $650M auto ABS deal in October 2026 and a $600M AAA-rated personal loan transaction. For partners, the practical read is funding depth, even if that depth still moves with market conditions.
Pros and cons
Pros
- Off-balance-sheet funding removes the capital constraint that normally limits how many extra applicants a lender can approve.
- One API connection covers personal loans, auto loans, and point-of-sale, which keeps engineering work contained.
- Approval expansion and decline monetization attack the same funnel from two sides: more yes decisions and more revenue from the no decisions.
- Funding depth is real, with 170+ institutional investors and a long run of securitizations behind the network.
Cons
- Individual borrowers can't use Pagaya directly. There's no app, no account, and no published rate to compare.
- Pricing is negotiated per partner, so small lenders can't estimate cost from the website before a sales call.
- The setup assumes US lending compliance and a modern origination system, which leaves older or non-US lenders out.
- Results depend on capital markets appetite. When investor demand for consumer credit tightens, funding capacity can tighten with it.
Frequently asked questions
No. Pagaya is an AI lending network that sits between lenders and institutional investors. Your institution makes the approval decision and keeps the customer relationship, while loans funded through the network are held off your balance sheet.
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