An API that processes the KYC selfie captured during onboarding and extracts intelligence from it across five dimensions: face verification, deduplication, background context, image metadata, and capture circumstances. No additional integration required.
The industry treats the KYC selfie as a compliance check: does the face match the document, and is the person live. That check is necessary. It is also the minimum. A selfie carries information about the environment it was taken in, the device it was taken on, how it was physically captured, and whether the same face has appeared before under a different identity. Image Intelligence reads all of it.
One selfie in. Five layers of intelligence out.
The compliance baseline. Every institution requires it. Image Intelligence delivers it as the first of five layers, not the only one.
A single-session liveness check confirms the face is real in this moment. It cannot confirm whether the same face has appeared before, under a different name, in a different application. Face Vault can.
The background of a selfie is a signal most onboarding flows discard entirely. A selfie taken in a residential setting carries a different risk and affluence profile from one taken in a lending kiosk, a cyber cafe, or a commercial establishment.
Every image file carries technical information about the device that created it and the conditions under which it was captured. This cluster extracts and analyses that metadata as an independent signal layer.
The physical circumstances of how the selfie was taken carry a signal that no other layer reads. A self-taken photograph at arm's length on a personal device looks measurably different from one taken by another person at a different distance and angle.
Per-image intelligence profile. Real-time. Three consumption tiers.
Three deployments, each reading the KYC image for a different decision.
Identity reuse, spoofing, externally-operated captures
KYC image verification, Face Vault screening, environment assessment
Scene and device metadata as affluence and lifestyle indicators
A single REST call on the selfie you already capture. No additional integration, no change to the onboarding flow, no replacement of systems already in production.
REST API. No additional integration required.
KYC selfie image.
Real-time.
1–2 weeks.
DPDP Act compliant. GDPR compliant.
The industry treats the KYC selfie as a compliance check: does the face match the document, and is the person live. That check is necessary. It is also the minimum. A selfie carries information about the environment it was taken in, the device it was taken on, how it was physically captured, and whether the same face has appeared before under a different identity. Image Intelligence reads all of it.
One selfie in. Five layers of intelligence out.
The compliance baseline. Every institution requires it. Image Intelligence delivers it as the first of five layers, not the only one.
A single-session liveness check confirms the face is real in this moment. It cannot confirm whether the same face has appeared before, under a different name, in a different application. Face Vault can.
The background of a selfie is a signal most onboarding flows discard entirely. A selfie taken in a residential setting carries a different risk and affluence profile from one taken in a lending kiosk, a cyber cafe, or a commercial establishment.
Every image file carries technical information about the device that created it and the conditions under which it was captured. This cluster extracts and analyses that metadata as an independent signal layer.
The physical circumstances of how the selfie was taken carry a signal that no other layer reads. A self-taken photograph at arm's length on a personal device looks measurably different from one taken by another person at a different distance and angle.
Per-image intelligence profile. Real-time. Three consumption tiers.
The full set of image-level attributes as structured data. For institutions that integrate directly into their own decisioning logic.
Decision-ready output, each score accompanied by contributing factors.
Image scoring calibrated to the institution's own onboarding patterns. The weight of a kiosk-environment detection differs between a bank with no agent channel and an NBFC with 60% agent-assisted origination. Sign3 tunes accordingly.
Three deployments, each reading the KYC image for a different decision.
Identity reuse, spoofing, externally-operated captures
KYC image verification, Face Vault screening, environment assessment
Scene and device metadata as affluence and lifestyle indicators
A single REST call on the selfie you already capture. No additional integration, no change to the onboarding flow, no replacement of systems already in production.
REST API. No additional integration required.
KYC selfie image.
Real-time.
1–2 weeks.
DPDP Act compliant. GDPR compliant.
We'll score it, surface the fraud patterns your current stack missed, and walk you through what we found. Your data, our scoring. No commitment, no integration, no decision required until you've seen the result.