Credit infrastructure, from first principles.
Technical writing on credit risk modeling, embedded lending program design, fair lending compliance, and the API layer that powers platform underwriting. Written by the Lendforge team from direct experience building these systems.
The Checkout Moment: Designing Credit Offers That Convert
Timing, framing, and pre-qualification UX patterns that increase credit acceptance without inflating default risk at the point of sale.
Integrating a Credit Engine in Under Two Weeks
A practical walkthrough of Lendforge API endpoints, webhook flows, and decision callbacks so your platform engineers know exactly what to expect on day one.
From Marketplace to Lender: The Platform Credit Playbook
How digital marketplaces use embedded credit to increase GMV, reduce cart abandonment, and generate a new revenue line without holding loan risk.
Model Explainability and Fair Lending: What Platform Operators Need to Know
Adverse action reasons, disparate impact testing, and how Lendforge surfaces decision factors so your compliance team can answer any examiner question.
Sub-200ms Credit Decisions: Why Latency Is a Product Feature
Real-time underwriting inside a checkout flow requires decisions before the user notices. We explain how Lendforge achieves P99 under 200ms while running full model inference.
How Platform Lenders Structure Bank Partner Programs
Sponsored-bank programs, lending licenses, and partner-bank arrangements explained for product teams who need credit-as-a-service without a charter.
Feature Engineering for Credit Risk: Beyond Income and Bureau Score
How platform tenure, repeat transaction patterns, velocity ratios, and seasonal variance become model features, and why they carry more predictive weight for marketplace credit than a FICO score built on bank tradelines.
BNPL Regulation in 2025: A Platform Operator Checklist
CFPB interpretive rule, state-level disclosure mandates, and what changed for platforms offering deferred payment products through third-party credit engines.
Fraud and Credit Risk Are Not the Same Signal
Conflating identity fraud signals with default-risk signals inflates false-positive rates and rejects creditworthy applicants. Here is how to separate the two.
Three Ways Platforms Monetize Embedded Credit
Interchange participation, origination fee sharing, and yield-spread arrangements explained for platform CFOs evaluating an embedded lending program.
Why We Built Lendforge
Tanya Richards on the pattern she kept seeing across marketplace and bank credit roles: platforms holding rich behavioral data on their users, then outsourcing the underwriting decision to a model that cannot see any of it.