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Solutions

We help teams address gaps in systems by collecting targeted datasets for complex scenarios and real-world conditions

  • Face anti-spoofing

    Data collection for presentation attack scenarios under diverse real-world conditions

    • Print attack
    • Replay attack
    • Cutout attack
    • Environment variability
    • Device variability

  • Synthetic scenarios & injection

    Simulation of digital attack vectors affecting system inputs

    • injection attack
    • Virtual camera Variability
    • OS Variability
    • Browser Variability

  • Templates & fraud data

    Data supporting document-based systems and fraud scenarios

    • Print attack
    • Replay attack
    • Templates Variability
    • Cutout attack
    • Environment variability
    • Device variability

  • Voice

    Datasets for synthetic speech conditions

    • Replay attack
    • Synthetic replay
    • Device variability
    • Distance Variability

Tailored to your system

Every dataset is collected for a specific use case and aligned with how your system operates in practice

  • Adapted to real system behavior

    Data is collected based on how your product behaves in production and real-world usage

  • Focused on specific scenarios and conditions

    Covering the use cases that matter most — from common interactions to edge cases

  • Collected across relevant devices and environments

    Gathering data on the right devices, in the right environments and operating conditions

  • Designed for model improvement

    Built to support training, evaluation, and measurable model performance improvements

  • Aligned with your product workflows

    Integrated into your product processes, team workflows, and existing pipeline