VEIRIS technology is tailored specifically for enterprises and financial institutions to remove frictions in KYC process through realtime data extraction, computer vision algorithm, and blockchain technology to prevent fake / tampered documents.

VEIRIS product employs a state-of-the-art computer vision technology, our patent-pending Tiger-Eye technology. The technology is able to perform various checks regarding the customers’ identity verification, ranging from document analyses, object analyses, pattern analyses, color analyses, human facial analyses, skin tone analyses, and several other advanced methods.

VEIRIS computer vision technology is a fully working computer vision product, tailored using ground-to-top approach, targeted specifically for KYC verification by combining document verifications and facial analyses. A high accuracy result can be expected from the solution provided by VEIRIS, even if the documents are not in an optimal state (tilted, rotated, too dim, or too bright). Fake documents and/or fake human faces can be filtered through VEIRIS computer vision technology.

Overview

Token Sale Upcoming
Country Unspecified
A
Anwar Yunus
CHIEF EXECUTIVE OFFICER
Member of this ICO only
G
Gabriel Rey
CHIEF TECHNOLOGY OFFICER
Member of this ICO only
K
Kevin S.
CHIEF OPERATING OFFICER
Member of this ICO only
C
Cindy Kho
COMMUNITY MANAGER
Member of this ICO only
S
Sarah Ketaren
BUSINESS CONSULTANT
E
Edwin
LEAD BLOCKCHAIN DEVELOPER
Member of this ICO only
R
Rajesh Kumar
CREATIVE MANAGER
O
Oktavianus
LEAD MOBILE DEVELOPER
Advisors
B
Bogdan Fiedur
TOKEN ADVISOR
Participates in 27 ICOs
A
Atif Farid
MACHINE LEARNING EXPERT ADVISOR
Participates in 2 ICOs
H
Hermawan Tjakradiwiria
BANKING ENVIRONMENT ADVISOR
Advisor of this ICO only
D
Donald Wihardja
ANGEL INVESTOR & BUSINESS ADVISOR

Overview

Token Sale Upcoming
Country Unspecified

Financial information

Platform Ethereum
Whitelist/KYC Whitelist & KYC

Interest

Alexa rank 1,583,515 th
Telegram participants 46,363
Twitter followers 930
Promotional video views 10,862
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