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Lending & BNPL

Credit risk and fraud prevention for lending and buy now, pay later.

Lenders, buy now, pay later and device financing: decide in real time, in the app, at checkout or at the counter, on applicants legacy credit scores miss.

98%of applicants with no legacy credit score got a risk scoreA digital bank

Lending fraud statistics: the cost of borrowers who don’t exist.

Synthetic identities borrow, build a history, then disappear.

  1. Synthetic identities

    $3.3 billion+

    of US lender exposure to synthetic identities, year ending 2024

    With a record number of new accounts opened by people who don’t exist.

    Source: TransUnion, September 2025

  2. Generative AI

    $40 billion

    in US fraud losses that generative AI could enable by 2027

    Up from $12.3 billion in 2023: 32% more every year.

    Source: Deloitte Center for Financial Services, May 2024

Credit risk and fraud in lending and buy now, pay later, and how Monnai helps you say yes.

  1. Most applicants have no file.

    Monnai

    One score from 0 to 999, with its reasons.

    Credit risk
  2. Fraud that shows up as a missed first payment.

    Monnai

    Spot synthetic and stolen identities at application.

    New account fraud
  3. A decision in seconds, or no sale.

    Monnai

    Decide from a phone and an email. No documents.

    Onboarding & KYC

Get answers about lending

How do buy now, pay later providers assess credit risk at checkout?

Most applicants have no legacy credit score, and a checkout has no room for documents. Decide at checkout or at the counter from a phone number and an email: Risk Score gives a credit score and a fraud score in one call, from 0 to 999, higher meaning riskier, with their reasons.

How can lenders spot synthetic identities before a missed first payment?

Synthetic and borrowed identities apply like good customers, then never pay, and the loss lands as credit loss. At application, Monnai checks whether the phone, email and name belong to one person, how many names share the number, and whether the phone or email first appeared days ago.

Which signals help score applicants with no credit history?

Signals from the life they already lead online. A phone number or an email held for years by one person points to a real, reachable customer, and a broad, long-used digital footprint with shopping and subscription apps suggests someone used to paying monthly.

Do we have to change our scorecard to use Monnai?

No. Monnai adds to the scorecard and the legacy credit score you already use. Its Risk Score and 500+ fields feed your own decision engine, so you keep your models and policies and see the applicants your current data misses.

Can we test Monnai on our past loan applications?

Yes. Send past applications, and share repayment outcomes if you want the uplift measured on your own models, or keep them and grade our scores yourself. We score every applicant offline, with no integration on your side, and your full report comes back within 5 business days.

Let us prove it. Test us on your data.

Send past applications or transactions. We score them and send back a full report: every score with its reasons, and the uplift for your portfolio.

5 business days to your full report. We commit to it.