Thinkspan, LLC

James Michael Faris

Matthew Maxwell Murphy

Brian Samuel Taylor

With a multitude of passwords in today's technologically enhanced world, where each password is a string of nonsensical alphanumeric characters, the user can easily forget a particular password. However, while users frequently forget a nonsensical password, users easily remember places, favorite songs, or other emotionally relevant items. The system disclosed here enables a user to access passwords in a recall-memory enhancing manner by tying password access to memorable items such as places, songs, images or other emotionally relevant items.

User authentication in a recall-memory enhancing manner

A zero-knowledge personal assistant is enabled by a universal data scaffold. Because the information is mapped to a universal data scaffold in a structured format, a data management platform can easily organize, display, and draw associations between the information. The universal data scaffold and structured user data resides on a user's device, preventing data from being obtained by third parties. To analyze data and produce recommendations for the virtual assistant, a set of rules associated with the universal data scaffold can be applied to the user data. Information can be encrypted and shared between users without being decrypted by a third-party.

Zero knowledge personal assistant

Disclosed is a system to provide information associated with a user device from a server to the user device without disclosing the association to the server. Data structures, created at the server, contain information such as information about restaurants, mechanics, medical conditions, etc. The server creates bundles including two or more data structures containing disparate information, and a unique identifier for each bundle. The server creates a table of contents indicating the unique identifier of a bundle and the information contained in the bundle and sends the table of contents to the device. The server receives the unique identifier of the bundle and provides the bundle having the unique identifier to the device. While the bundle contains the information associated with the user device, because the bundle contains disparate information. the server does not know which information is associated with the user device.

Scalable scaffolding and bundled data

User information is protected by providing a protective layer between a provider and a user device. A server receives a suggestion to present to the user device from a third party, such as a provider of goods or services that wants to push the suggestion to the user device. The suggestion includes a request for user information. The server then determines a likelihood that the request for user information is a necessary component of the suggestion. When the likelihood is low, the request is removed from the suggestion. When the likelihood is high, the server creates an executable computer code that includes the request. The executable computer code can be transmitted to the user device to present the suggestion to the user device without disclosing the user's information to the server.

Algorithmic suggestions based on a universal data scaffold

Disclosed is a system to provide an answer to a query generated by a device while hiding the answer and the query from a server providing the answer. Data structures, created at the server, contain information such as information about restaurants, mechanics, medical conditions, etc. The server creates bundles including two or more data structures containing disparate information, and a unique identifier for each bundle. The server creates a table of contents indicating the unique identifier of a bundle and the information contained in the bundle and sends the table of contents to the device. The server provides the answer to the query from the device by receiving the unique identifier of the bundle and providing the bundle having the unique identifier to the device. While the bundle contains the answer to the query, the server does not know the query or the answer because the bundle contains disparate information.

The disclosure is related to a method to securely present a suggestion to a user without disclosing the user's information to a server. The user device can receive from the server a data structure configured to represent the user's information. The user device, after obtaining the user's information from a document, can populate the received data structure with the user's information extracted from the document. The use device can receive from the server a suggestion detection module including a criterion and an executable computer code. The executable computer code can determine whether to present the suggestion at the user device by determining whether the populated user's information satisfies the criterion. Upon determining that the populated user's information satisfies the criterion, the executable computer code can present the suggestion at the user device, without disclosing to the server the user's information.

The disclosure is related to a data management platform ('platform') for providing a secure storage environment for digital contents associated with a user. The platform may be accessible via an app installed on a user device, which allows the user to upload, modify, and view digital contents. Because a digital content is mapped to a universal scaffold in a structured format, the platform can organize and display the digital contents in meaningful ways. The digital contents can be hosted on a remote server. The platform provides zero-knowledge encryption so that the digital contents stored at the server are secure, as in one cannot know the contents of the encrypted information stored at the server. The platform also facilitates zero-knowledge offers in which offers are sent to multiple users but the server does not know to which users the offers are presented until an offer is accepted by the user.

Growing community of inventors

Chicago, IL, United States of America

James Michael Faris