Data-driven decisions
Verify, Assess and Monitor all write to one profile, so every downstream decision uses the latest verified data instead of stale snapshots.
Bring identity, income, business and device signals together into one continuously updated risk profile. Verify, assess and monitor — without starting over.
Talk to our teamReal-time identity verification against government, telco, and institutional sources.
Verified income and employment data from payroll, HR, and gig platforms — alternative data for thin-file credit.
Business registration, ownership, and standing checks for merchants, SME borrowers, and partners.
Device fingerprinting plus phone and email digital-footprint analysis to catch spoofed devices and automated fraud.
A single configurable score combining identity, device, income, and behavioral signals into one approve/decline/review output.
Automatic screening against blacklists and sanctions lists at onboarding.
Real-time detection of concurrent loan applications across lenders — also known as credit stacking.
Periodic re-checks against blacklists and sanctions lists so new matches surface after onboarding, not just at it.
Automated employment history and reference verification for workforce risk — on the same infrastructure as your customer-facing checks.
The Smile platform unifies eight risk capabilities behind one API, so every model and AI agent reads the same continuously updated risk profile. That makes automated decisioning consistent from first onboarding check to ongoing monitoring.
Verify, Assess and Monitor all write to one profile, so every downstream decision uses the latest verified data instead of stale snapshots.
Clean, labelled and consented attributes — identity, income, device and watchlist outcomes — ready to use as inputs for credit and fraud scoring models.
Expose one endpoint to your AI agent instead of eight integrations. The agent gets complete customer context in a single, predictable response.
{
"profile": "prf_8f21",
"identity": "verified",
"income": { "status": "verified", "source": "payroll" },
"device": "trusted",
"fraudScore": 0.07,
"watchlists": "cleared",
"suggestedAction": "approve"
}