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What is Veriff?

Veriff stands out as the go-to identity verification and authentication platform for some of the most forward-thinking and rapidly expanding organizations worldwide, spanning online marketplaces, financial services, gaming, mobility, and beyond. By merging artificial intelligence with dedicated human verification teams, Veriff effectively deters malicious entities while ensuring that legitimate users encounter minimal obstacles throughout their customer experience. This innovative approach allows companies to foster customer confidence through efficient, AI-driven identity verification and authentication processes. The Veriff IDV platform provides robust, scalable solutions that are widely trusted across various industries. With an impressive 98% automation rate in checks and an average decision-making time of just six seconds, Veriff boasts an extensive database containing over 12,000 identity documents. Furthermore, the platform's exceptional user experience facilitates verification for 95% of users on their initial attempt, reinforcing Veriff's reputation as a leader in the identity verification landscape. Organizations leveraging Veriff's solutions can significantly enhance their security measures while streamlining user interactions.

What is Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
Authsignal
BotCore
CREDITONLINE
Descope
Formalize
Macrobank Core Banking Software
Mindflow
Orange Logic OrangeDAM
PASS2RENT
PremierCashier
Qrvey
Trendzact
Unremot
Visionati
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
Authsignal
BotCore
CREDITONLINE
Descope
Formalize
Macrobank Core Banking Software
Mindflow
Orange Logic OrangeDAM
PASS2RENT
PremierCashier
Qrvey
Trendzact
Unremot
Visionati
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

$49/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Veriff

Date Founded

2015

Company Location

Estonia

Company Website

www.veriff.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Authentication

Biometric
Credential Management
Knowledge-Based Authentication
Mobile Authentication
Multifactor Authentication
Out-of-Band Authentication
Policy Management
Self Service Portal
Single Sign On
Social Sign On

Compliance

Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
ISO Compliance
Incident Management
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation

Customer Identity and Access Management (CIAM)

Access Certification
Access Management
Analytics / Reporting
Automatic User/Device Recognition
Behavioral Analytics
Credential Management
Data Security
Multi-Factor Authentication (MFA)
Privacy / Consent Management
Real Time Notifications
Self-Service Portal
Single Sign On
User Provisioning

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

KYC

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Session Replay

Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation

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