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Trust Vision

A complete digital identity solution based on face and text recognition, AI-based identity fraud detection, and digital identity verification

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    Facial Recognition Accuracy

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    Recognition of Vietnamese National ID Card

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    Recognition across multiple Indian IDs

Digital Onboarding

Liveness Detection
OCR
Selfie-ID Matching
Liveness Detection

Liveness Detection

Our eKYC solution allows the digital onboarding of customers through high accuracy matching of selfies to ID photos, accurate extraction of details from an ID, and two modes of "liveness" checks - active liveness prompts users to take actions to prove they are not spoofing the system, while passive liveness uses an AI model to predict whether a live user is present.

OCR

OCR

The E-KYC reader precisely reads and extracts national IDs in different formats. Our trained machine learning has exceeded human checks in recognizing some of the poorest conditioned documents.

Selfie-ID Matching

Selfie-ID Matching

E-KYC Selfie ID Matching, an AI-powered solution that accurately verifies personal selfie photos and ID pictures. This brings frictionless and lean lending operations to modern financial institutions.

  • Verify “liveness” of the ID to prevent fraud
  • Optimize lending operations by reducing human key-in errors and operating cost
  • Automatic data extraction and pre-populated applications forms enable a paperless consumer lending process

Identity Verification

ID Cross-Verification
Identity And Face Retrieval
Tamper Check
ID Cross-Verification

ID Cross-Verification

Cross ID Verification compares a customer’s provided identity (face and ID) against telco, government, social network and your internal databases. The result is a bank-grade security to ensure borrower’s data legitimacy. It helps you to:

  • Identify potential fraud and capture duplications
  • Build a solid bio-recognition database for future growth
Identity And Face Retrieval

Identity And Face Retrieval

Scan for a customer face in a database of millions of faces, spot duplicates, detect fraud attempts and maintain fraudster watchlists with our high speed and high accuracy face retrieval algorithms.

Tamper Check

Tamper Check

Using proprietary AI algorithms, our Tamper Check helps customers identify when a national ID card has expired or has been tampered with. We constantly update our Tamper Check with our customers´ feedback to tackle their most pressing identity problems.

Why choose us?

40% faster&10x more accuratethan an
average human verification

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Quickly verify a loan applicant and speed-up the onboarding process

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Optimize lending operations by reducing human errors and operating cost

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A fast and scalable solution with easy integration, no privacy / security concerns

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Enable a paperless consumer lending process

Case Studies

01.Digital Onboarding
02.Face OTP
03.Face Retrieval
Digital Onboarding

Digital Onboarding

Onboarding 10M+ customers a month required a team of 1800 back-office staff to conduct manual verification of identities to comply with KYC regulations. Verification was expensive and the two hour turnaround time resulted in lost customers at the point of sale. In addition to ensuring its resellers were compliant with KYC processes, the company wanted to offer a fully digital onboarding process to acquire new customers.

We integrated the TrustVision KYC onboarding solution into the company’s app to enable their customers to complete self-service onboarding via web and mobile channels. We also provided a TrustVision app to the company’s reseller agents to use to onboard customers for the company.

Face OTP

Face OTP

A major bank wanted to enhance the security of its transactions, and to provide best-in-class user experience for its customers. The bank replaced SMS OTPs with Face OTPs, and its customers can confirm transactions in-app with a live selfie instead of switching screens, looking at an OTP and keying in the OTP.

The user is immersed in a unique in-app customer experience. Using Face OTP, security is enhanced as requiring a unique customer biometric eliminates the risk of stolen or hijacked phones compromising account access.

Face Retrieval

Face Retrieval

A banking customer wanted to uncover the extent of duplicate and fraudulent customer applications it had. Using customer facial data, Trusting Social cleaned up the bank database by matching customers who had multiple identities or application numbers. Trusting Social found that 1% of customers had applied under multiple identities, and discovered an internal fraud ring among the bank agents. Using the cleaned facial database, Trusting Social helped the bank to create a fraud database that new customers could be verified against.