Entefy Inc.

Mehdi Ghafourifar

Alston Ghafourifar

Brienne Ghafourifar

Philip Nathan Greenberg

Neil Achtman

An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as 'skills') in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.

System and method for enabling autonomous artificial intelligence-enabled skills exchanges between agents over a network

Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be 'search-based' because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query—without having to actually parse the incoming user command or query from scratch.

Search-based natural language intent detection, selection, and execution for multi-agent automation systems

Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The disclosed NLP IDS automatically selects valid (or potentially valid) API paths (e.g., sequence of API calls) to produce desired actions. Associated system actions and known API sequencing rules may then be used to process the incoming user command or query. A feedback loop is also disclosed to identify newly available APIs and success criteria for selected API paths. Discovery of API paths may be performed using predefined information, monitored information, programmatically determined interfaces, and programmatically tested interfaces. A directed graph model may be used to represent potential API paths.

Automatic application program interface (API) selector for unsupervised natural language processing (NLP) intent classification

This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by 'stitching' together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking 'Reply' on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).

System and method of context-based predictive content tagging for segmented portions of encrypted multimodal data

This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called 'zero-knowledge' privacy systems (i.e., systems where the server has ‘zero-knowledge’ about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art ‘zero-knowledge’ privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information. Disclosed herein are communications systems that offer the increased security and privacy of client-side encryption to content owners, while still providing for highly relevant server-side search-based results via the use of content correlation, predictive analysis, and augmented semantic tag clouds for the indexing of encrypted data.

System and method of information retrieval from encrypted data files through a context-aware metadata AI engine

A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights with a diverse set of data objects that exists and not all objects contain explicit location information.

Temporal transformation of location-based queries

Decentralized blockchain for artificial intelligence-enabled multi-party skills exchanges over a network

Search-based natural language intent determination

This disclosure relates generally to apparatus, methods, and computer readable media for composing communications for computing devices across multiple formats and multiple protocols. More particularly, but not by way of limitation, this disclosure relates to apparatus, methods, and computer readable media to permit computing devices, e.g., smartphones, tablets, laptops, and the like, to send communications in a number of pre-determined and/or 'determined-on-the-fly' optimal communications formats and/or protocols. Determinations of optimal delivery methods may be intelligently based on the sender individually or the relationship with the sender in the context of a group of recipients&#x2014;including the format of the incoming communication, the preferred format of the recipient and/or sender, and an optimal format for a given communication message. The techniques disclosed herein allow communications systems to become 'message-centric' or 'people-centric,' as opposed to &#x2018;protocol-centric,&#x2019; eventually allowing consideration of message protocol to fall away entirely for the sender of the communication.

Apparatus and method for context-driven determination of optimal cross- protocol communication delivery

This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by 'stitching' together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking 'Reply' on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) 'state-matching' (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).

System and method of context-based predictive content tagging for encrypted data

This disclosure relates to personalized and dynamic server-side searching techniques for encrypted data. Current so-called 'zero-knowledge' privacy systems (i.e., systems where the server has 'zero-knowledge' about the client data that it is storing) utilize servers that hold encrypted data without the decryption keys necessary to decrypt, index, and/or re-encrypt the data. As such, the servers are not able to perform any kind of meaningful server-side search process, as it would require access to the underlying decrypted data. Therefore, such prior art &#x2018;zero-knowledge&#x2019; privacy systems provide a limited ability for a user to search through a large dataset of encrypted documents to find critical information. Disclosed herein are communications systems that offer the increased security and privacy of client-side encryption to content owners, while still providing for highly relevant server-side search-based results via the use of content correlation, predictive analysis, and augmented semantic tag clouds for the indexing of encrypted data.

System and method of information retrieval from encrypted data files through a context-aware AI engine

Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The improved NLP IDS disclosed is said to be 'search-based' because, rather than attempt to parse incoming user commands and queries up front, the incoming user commands and queries are searched against a pre-generated database of exemplary user commands (e.g., having associated action or parsing identifiers) to determine the most relevant search result(s). The associated system actions and known grammar/parsing rules of the most relevant search result(s) may then be used to process the incoming user command or query&#x2014;without having to actually parse the incoming user command or query from scratch.

A system and method for transforming location-based data queries into temporal domain by leveraging a location-to-time knowledge conversion graph. In some systems which contain diverse sets of data objects, only certain objects may contain explicit location data, while others may not. Therefore, queriability of this diverse data by location properties would likely yield incomplete results. In some embodiments, this method allows for the transformation and augmentation of a given data query containing location-based filtering properties into a time-region-based lookup, wherein a given location has been assigned to a time region in the given data graph and all data events within that time region may be augmented with location metadata automatically in the knowledge graph. Over time, a system utilizing these embodiments can offer comprehensive location-based data services and insights to a given system or user wherein a diverse set of data objects exists and not all objects contain explicit location information.

This disclosure relates generally to apparatus, methods, and computer readable media for composing communications for computing devices across multiple formats and multiple protocols. More particularly, but not by way of limitation, this disclosure relates to apparatus, methods, and computer readable media to permit computing devices, e.g., smartphones, tablets, laptops, and the like, to send communications in a number of pre-determined and/or 'determined-on-the-fly' optimal communications formats and/or protocols. Determinations of optimal delivery methods may be intelligently based on the sender individually or the relationship with the sender in the context of a group of recipients&#x2014;including the format of the incoming communication, the preferred format of the recipient and/or sender, and an optimal format for a given communication message. The techniques disclosed herein allow communications systems to become 'message-centric' or &#x2018;people-centric,&#x2019; as opposed to &#x2018;protocol-centric,&#x2019; eventually allowing consideration of message protocol to fall away entirely for the sender of the communication.

Growing community of inventors

Los Altos Hills, CA, United States of America

Mehdi Ghafourifar