Vision Score assesses a customer's trustworthiness and risk profile by analyzing their selfie image. It generates a comprehensive score from facial data, enabling businesses to quickly validate identity, confirm liveness, and enhance fraud prevention — typically as one signal feeding a loan or onboarding decision, alongside whatever other checks (ID verification, device/behavioral signals, etc.) your risk pipeline already uses.
Submit one or more frontal selfie images — optionally with gesture captures or a short liveness recording, depending on how strong a liveness check you need — and Vision Score returns a single trust score on a 0–100 scale, where a higher score means a more trustworthy, lower-risk profile. See Vision Score for the full request/response reference and sample calls.
You can attach your own contextual data to a Vision Score request — for example, details about the loan application or the applicant. Doing so helps TrustVision improve model performance over time and can make you eligible for model fine-tuning. If that context includes personal information, handle it according to your own data-governance requirements before sending it: the request itself travels over an encrypted connection, but TrustVision doesn't apply any additional encryption to this context on its own.