A couple questions:
1. Given that one of your offerings is a wallet for identity, how do you handle storing user biometric data and documents
2. I’m surprised AI age detection based on faces is accurate enough to be used for account decisions. Is there any specific standard your models are held too and why would someone prefer it over an ID document proving age?
The idea is that users control their identity. They create a Didit account where they can verify themselves, add credentials, revoke connections, or delete everything at any time. We don’t store raw biometrics or documents in the wallet layer — only derived attributes like estimated_age, is_human, is_unique, or a face embedding used for matching.
Services request specific scopes (similar to “Sign in with X”), like is_over_18 or is_human, and the user explicitly approves what gets shared.
On age detection: it’s mainly for low-risk age-gating (social, gaming, adult content, etc.), where asking every user for an ID kills conversion. For higher-risk cases you’d still use full ID verification.
[0]: https://www.ilga.gov/Legislation/publicacts/view/095-0994
> "Biometric identifier" means a retina or iris scan, fingerprint, voiceprint, or scan of hand or face geometry. Biometric identifiers do not include writing samples, written signatures, photographs, human biological samples used for valid scientific testing or screening, demographic data, tattoo descriptions, or physical descriptions such as height, weight, hair color, or eye color.