Our Patents

Granted Patents

Digital Identities - registering an ID document

This patent covers the way we register ID documents, like passports and driving licences to anchor an individual’s digital identity. It covers the way one gains confidence that the photo ID is submitted by the genuine individual, and how four systems (registration, enrolment, administration and authorisation) work together. This also covers our mechanism of generating receipts which record ‘shares’ between Yoti users and Yoti organisations. US2016239653

Web content

This is a patent for mutual authentication of the web content provider and the end user using authentication tokens (one time credentials) that can be exchanged through different methods such as QR code, web deep links, NFC (Near Field Communication), BLE (Bluetooth Low Energy). US2016241532

Digital Identities - attribute exchange

Here we focus on enrolment, credential creation and the publication process. It includes the creation of a ‘sharing token’, which enables personal attributes to be shared. US2016239657


This is our original anti-touting patent, which stops ticket bots by associating tickets to a digital identity and then analysing past behaviour of ticket purchasing, event attendance and use of tickets to decide whether a particular person is a ticket tout, and therefore whether they should be sold a ticket or not. US2017169362

Digital identities - auditable identity receipt system

Similar to the registering an ID document patent, this one is for an auditable receipt generation module and our master receipt book. US2016239658

Two factor liveness detection

This is our process of using multi modal (two or more) 'liveness' tests (which may include biometrics) to help us to prove that people are who they say they are in a set time frame. In our granted patent one of the liveness tests must have an element of randomly generating a test, e.g. showing random words on the screen or a random facial expression (like a wink). US2017048244

Patents We've Applied For

Confidence values

This is a system of giving a numerical score to pieces of identity evidence and then giving an overall score to represent a ‘confidence value’. US2016241531

Verifying physical assets

This patent application is for the process of using a QR code to prove your digital identity to the sender of a physical asset in order to unlock the use of the physical asset (eg a bank card). Application Number: US 15/835301

Our ‘core commercial’ system

This combines four separate patent applications (some already granted) to describe how our ‘core’ system works. It covers registering documents, splitting attributes, storing attributes, sending a policy from someone’s device and then sharing the attributes with the person requesting them. PCT/EP/2016/053076

Yoti Connections and anti-ticket touting

The process of establishing a time-stamped connection between two or more people who have been verified by Yoti, and then sharing that connection with a third party. This is particularly focused on anti-ticket touting. Ticket touts do not know at the point of payment for tickets who will be using the tickets because they will be re-selling. Yoti Connections allows buyers to establish links to friends, family or colleagues prior to purchasing and then allocating those tickets. Application Number: GB 1715111.9

Computer implemented tracking

This is a patented system of tying a digital identity to an asset, and then how that asset is transferred to the digital identity of a third party. The owner could be a real person, a legal entity or an employee at a company. US2016350861

Behavioural biometrics

An anti-spoofing test which analyses the actual movements of a personal device when being moved by an individual, compared with the precise movements the system expected that specific user to make. Application Number: GB 1721636.7

Six liveness detections

Here we have six separate liveness related claims rolled into one patent application. They are: Facial Anti Spoofing (FAS) and correlation to sensor data on a device. Random words at a random location and tracking eye movement. Heartbeat detection by viewing changes to characteristics of the skin. Specular reflection in the eye (eg showing image reflections in the eye). Person vs background parallax (checking background changes as you expect it to). Pupil response to light pulses. US2017046583

Travel use cases

This patent covers: Locking together identity details, identity document details and flight details (boarding passes). This allows travellers to pass through transportation, security and boarding gates seamlessly using only a biometric (which might just be their face). A black box solution which lets transport stakeholders (border control, police, airlines and airports themselves) access identity and travel details on request, which will allow individuals to be verified using their face at all points on their journey. Application Number: GB 1804615.1

Linking assets to a digital identity

This is an extension of the ‘core commercial’ system patent. It describes how assets can be associated with a digital identity (derived from a trusted document) and then transferred to another digital identity. A trail of the transfers is recorded to prove ownership. The asset can be a card, title deed or valuable piece of equipment. Application Number: US 15/808,701

Yoti Sign

Our document signing technology, including attribute sharing for signing which allows the parties to have biometric proof of who signed the document. We have a separate set of claims for hashing together hashes of signed document content and the identity attributes used to biometrical prove who the signers are. Application Number: GB 1808656.1

Payment tokenisation

A system of tokenising payment details to allow payments from an individual to a merchant without the merchant needing to store or receive any payment details from that individual. Application Number: US 15/808766

Smart Contracts

A method of associating one or more verified identity attributes with a smart contract on the blockchain. The smart contract and identity attributes are hashed together so that no substitute smart contract can be put in its place. Application Number: GB 1813458.5

Depth Detection

This is an extremely exciting R&D project to train a machine learning model using 3D and 2D images as input to produce a model that can detect depth in a 2D image.

If you are interested in adding value to your business by licensing Yoti’s patents, please contact patents@yoti.com