Today, we have first-mile technology to verify a person’s
real-world identity and determine if that person is present in the
context of a particular transaction/interaction. Our machine
learning algorithms compare a person’s ID against a global library
of government-issued ID documents from 192 countries – including
over 3,400 identity document types.
In 10 seconds or less, we can conduct an identity authentication
using our platform:
1. Detect if an ID document is genuine or has been tampered
with. Fraudsters can’t simply grab an ID off the Internet, swap
headshot photos and pretend to be someone else. We can detect
paper substitutes or digital images captured on a monitor. For us,
the actual physical ID document must be used to pass an
2. Use biometrics and device-related factors to determine if the
person whose picture is on the ID document is actually
present. Facial recognition, liveness detection and
other methods are key components.
3. Combine these factors as a trusted party to generate an
Identity Trust Score to compare with business logic that
automatically executes as a smart contract to ensure
This capability already exists and is available today as a
centralized off chain API and will be the basis for
AuthenticID’s Smart Identity Platform. As blockchains
become more widespread, and doing business with strangers in
the sharing economy becomes more prevalent, identity
authentication needs to not just be automated – it needs to be
driven by situationspecific business rules with specific
business logic (smart contracts in the blockchain world).
Rules for whether someone is old enough for a transaction, or
whether they can be trusted to rent a room for the night need to be
automated and affordable. That is where the AuthenticID vision
is aligned with where the market and the needs are going.
Attention. There is a risk that unverified members are not actually members of the team
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