AI Credit Decisioning API
Approve the borrowers FICO can't score
Lendiro reads 24 months of cash-flow velocity and transaction patterns to credit-decision thin-file applicants in real time. Built for digital lenders and neobanks turning away 40% of creditworthy applicants.
latency
lookback
now scoreable
{
"applicant_id": "app_7f3a9c2b",
"cash_flow_score": 742,
"decision": "APPROVED",
"confidence_band": "high",
"lookback_months": 24,
"primary_factors": [
"recurring_payment_consistency",
"inflow_velocity_trend",
"low_overdraft_frequency"
],
"latency_ms": 847
}
of applicants declined aren't credit risks — they're credit invisible
Americans have no FICO score — not because they can't repay, but because they haven't used the credit products FICO was designed to track.
Bureau models trained on credit history they don't have. A pristine bank account with 24 months of on-time rent and consistent income registers as zero months of credit history.
Neobanks and BNPL platforms bear the revenue cost — declining applicants who would outperform bureau-scored peers by 2x on repayment consistency.
How It Works
We read what banks already record
Three signal streams. All derived from transaction-level bank data. No bureau pull required.
Cash-flow velocity
Rate of change in monthly inflows and outflows over 24 months. Rising velocity with low variance is the strongest leading indicator of repayment capacity.
Recurring payment consistency
Cadence and regularity of recurring obligations — rent, subscriptions, utilities. Consistent timing signals financial discipline that bureau models can't see.
Transaction graph features
Graph-structural features of the borrower's transaction network — counterparty diversity, payment centrality, merchant category mix — revealing economic stability signals.
API Performance
A decision in the time it takes to load a webpage
Drops into your existing underwriting stack via REST. No model retraining required.
{
"applicant_id": "app_7f3a9c2b",
"bank_data_token": "tok_ob_8xKp...",
"lookback_months": 24,
"requested_amount": 2500
}
{
"decision": "APPROVED",
"lendiro_score": 742,
"confidence_band": "high",
"primary_factors": [...],
"adverse_action_codes": []
}
Use Cases
Built for the platforms bearing the thin-file cost
Score first-time buyers with zero credit history
BNPL's highest-value customer cohort — young earners and recent immigrants — looks like a blank slate to bureau models. Lendiro reads their bank account instead. Approve the ones worth approving, decline the ones who will default, in real time at checkout.
"We were declining 37% of our best-performing customer segment. One integration and that cohort is now our lowest default rate." — Head of Credit Risk, digital lending platform
Expand credit lines for deposit-active customers
Your most loyal depositors have 24 months of transaction history sitting in your database. Lendiro converts that history into a credit decision without a bureau pull.
Reduce false declines on thin-file applicants
Augment your existing bureau stack. Run Lendiro as a second-look model on thin-file declines and capture the revenue you're currently sending to competitors.
From the field
What partners say
"Integration took three days. The first week in production we approved 22% of applications we'd previously declined. Default rate on that cohort at 90 days is lower than our bureau-scored baseline."
"We evaluated three alternative data vendors. Lendiro was the only one that could explain exactly which cash-flow features drove each decision — that explainability is non-negotiable for our compliance team."
Your next creditworthy borrower is waiting.
Reach out to [email protected] or fill in 90 seconds.
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