Voice
Combine vocal-tract modeling and speaker-embedding signals for supported voice verification.
Bring voice, face and video verification into sensitive workflows. Combine identity matching, liveness checks and forensic signals according to your application’s requirements.
Voice · Face · Video verification
Combine vocal-tract modeling and speaker-embedding signals for supported voice verification.
Evaluate identity matching, passive liveness and forensic signals for supported input.
Define the thresholds, required checks and failure handling for the workflow.
Performance depends on inputs, thresholds and the attack conditions being tested. Review methodology alongside a result before selecting a verification policy.
Request the test methodologyReview genuine and attack samples, recording conditions, thresholds and product version.
Evaluate voice results separately from face and video results.
Review false acceptance and false rejection behavior for the proposed workflow.
Enroll and verify against QuantaTrust from your own browser. Each recording is processed to complete the check and then discarded; no biometric data is saved anywhere.
Checking the demo connection…
Example scenario · your own recordings · processed and discarded, never saved. Questions about the data: info@enquanta.com · Privacy
Discuss on-device, on-premises, isolated and customer-cloud deployment options.
Review how enrollment references, templates and derived information are handled in the selected architecture.
Specify storage location, access and retention requirements before deployment.
Bring your verification workflow and operating constraints to the EnQuanta technical team.