Automates verification of identity, regulatory, or compliance documents via image + text fusion.
Combines document reading, visual authenticity checks and rules evaluation to decide whether an identity or compliance document is genuine and current. The most regulated solution in this group and the one where the consequences of error are least recoverable.
Onboarding at volume where KYC or AML obligations apply and manual review cannot scale.
Low volumes, or where a false negative costs a customer relationship worth more than the review. Also poorly suited wherever the population is diverse enough that face verification bias is a live risk.
Decisions must be explainable to the individual affected, not only to the operator. Bias testing across demographic groups is a requirement rather than a refinement, and a human escalation path must exist for every automated rejection.
Systematic bias concentrated in a subgroup, invisible in aggregate accuracy figures. A 98% pass rate can conceal a 70% rate for one population.
A bank onboarding retail customers remotely, where liveness detection and document authenticity are checked automatically and anything ambiguous reaches a reviewer within the same session.