Collect and validate signatures
AI based detection of user’s face, trained to compare faces, determine age,
and analyze similarity to other faces based on biometric facial vectors
and analyze similarity to other faces based on biometric facial vectors
Improved user experience
Confirmed by extensive user research.
Less interruptions and context switches
lead to increased conversion rates.
Less interruptions and context switches
lead to increased conversion rates.
Authenticate humans
Interaction must occur digitally on the same device
without the option for uploads.
without the option for uploads.
Recorded Motion Patterns
Enables comparison of signature interactions 1-1
and 1-N
and 1-N
Enhanced Security
Real-time tracking of movement, time, size, position,
shape, and other parameters detects simulated
activity
shape, and other parameters detects simulated
activity
Document scanning
High-precision technology to authenticate and extract data.
See how it will work in your site or app
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Identity verification without biometrics
The signature module uses algorithms to analyze the unique style of a user's handwritten signature, providing a secure and privacy-conscious way to verify identity. This method is ideal for online services that need straightforward identity verification without collecting biometric data.
Verifying human interactions
Use the signature module in multi-factor authentication to make sure that a real person is making a transaction or accessing sensitive data. The system analyzes how the signature is written to tell the difference between a real person and automated scripts or bots.
Efficient Customer Verification
Simplify verification processes, allowing for smoother interactions and faster service delivery. This approach improves operational efficiency and customer satisfaction by making identity verification effortless.