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Incode
Visionary Leader in Identity Verification

What is Incode?

Incode offers advanced identity verification solutions designed for businesses seeking robust security and seamless user experiences. It employs proprietary artificial intelligence and machine learning models, developed and trained in-house, to deliver high accuracy in identity validation and fraud prevention. The platform focuses on combating sophisticated threats like deepfakes and identity spoofing while ensuring compliance with global regulations such as KYC (Know Your Customer) and AML (Anti-Money Laundering).

The technology encompasses various verification methods, including highly accurate facial recognition, passive liveness detection to confirm user presence, and comprehensive document verification supporting thousands of global document types. Incode aims to optimize the user onboarding process, reducing friction for genuine users and minimizing drop-offs through features like automated data capture and instant verification for returning users within its network. Its solutions cater to diverse industries requiring secure and efficient identity management.

Features

  • Proprietary AI/ML Models: In-house developed models trained on diverse datasets for accuracy and fraud detection.
  • Passive Liveness Detection: Verifies user presence quickly without active user participation, detecting digital and physical spoofs.
  • Advanced Facial Recognition: Provides highly accurate 1:1 (selfie vs. ID) and 1:N (selfie vs. database) matching, resistant to evasion.
  • Comprehensive Document Verification: Supports over 4,900 global document types, detecting physical tampering and AI-generated forgeries.
  • High-Accuracy OCR Technology: Extracts data from documents with 25% greater accuracy than open-source alternatives.
  • Incode Fraud Lab: Dedicated team for researching and combating emerging fraud tactics like deepfakes.
  • Incode Network: Enables instant verification for returning users via a simple selfie, speeding up onboarding.
  • Automated AML Screening: Provides real-time watchlist checks for compliance.
  • Age Verification: Ensures frictionless and compliant age validation.
  • Know Your Business (KYB): Facilitates global business and ultimate beneficial owner (UBO) verification.

Use Cases

  • Streamlining Client Onboarding
  • Automating KYC/AML Compliance Checks
  • Detecting and Preventing Identity Fraud
  • Securing Online Transactions and Interactions
  • Verifying User Age for Regulated Services
  • Authenticating Users for Account Access and Recovery
  • Verifying Businesses and Owners (KYB)
  • Securing Employee Identity (KYE)
  • Building Trust in Online Marketplaces
  • Enhancing Security in Financial Services
  • Ensuring Compliance in Gaming and iGaming
  • Verifying Identities on Social Media Platforms
  • Protecting Telecom Services from Fraud
  • Securing Patient Identity in Healthcare
  • Streamlining Check-ins for Hospitality and Events

FAQs

  • How does the Incode Fraud Lab work?
    The Fraud Lab continuously studies evolving fraud tactics, creates various spoofing materials (from simple prints to deepfakes), and uses these materials to rigorously test and enhance Incode's machine-learning models, ensuring they remain robust against current and future threats.
  • Why does the Fraud Lab set Incode apart?
    The Fraud Lab's proactive and innovative approach to researching and countering fraud provides Incode's clients with a significant advantage, ensuring higher levels of security and authenticity by staying ahead of fraudsters' evolving methods.
  • What types of fraud does Incode detect?
    Incode detects a wide range of fraud types, including tampered documents (physical and digital), fake documents, expired documents, face recognition spoofs (e.g., masks, replays), deepfakes, injection attacks, serial fraud, and more, using over 35 proprietary models.
  • How does Incode ensure a good user experience during verification?
    Incode prioritizes user experience through features like passive liveness detection (no user action needed), fully automated face/ID capture with real-time feedback, fast processing (e.g., 2-minute onboarding goal), and adherence to accessibility standards.
  • What is the Incode Network?
    The Incode Network allows users to verify their identity once and then reuse that verification across different services within the network, often requiring only a simple selfie for subsequent authentications, leading to faster onboarding and higher completion rates.

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Average Response Time

226.33 ms

Last 30 Days

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