Patents Assigned to ContactEngine Limited
-
Patent number: 11790180Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omni channel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.Type: GrantFiled: October 25, 2021Date of Patent: October 17, 2023Assignee: CONTACTENGINE LIMITEDInventors: Andrew Mark Ayers, Giles Bryan, Mark Kingsley Smith
-
Patent number: 11748422Abstract: A system for a digital content security and communications system using an artificial intelligence (AI) based machine learning and predictive analysis is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and an analytics subsystem to communicate with the server and the data store in the network. The analytics subsystem may comprise a data access interface to receive communication data from a user via a first communication channel. The analytics subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation with the user via a second communication channel.Type: GrantFiled: March 15, 2019Date of Patent: September 5, 2023Assignee: CONTACTENGINE LIMITEDInventors: Andrew Mark Ayers, Giles Bryan, Mark Kingsley Smith
-
Patent number: 11373045Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.Type: GrantFiled: September 24, 2019Date of Patent: June 28, 2022Assignee: CONTACTENGINE LIMITEDInventors: Dominic Bealby-Wright, Cosmin Dragos Davidescu
-
Patent number: 11157706Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.Type: GrantFiled: September 24, 2019Date of Patent: October 26, 2021Assignee: CONTACTENGINE LIMITEDInventors: Andrew Mark Ayers, Giles Bryan, Mark Kingsley Smith
-
Patent number: 11017176Abstract: A system for artificial intelligence (AI) based omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and an analytics subsystem to communicate with the server and the data store in the network. The analytics subsystem may comprise a data access interface to receive communication data from a user via a first communication channel. The analytics subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation with the user via a second communication channel. The system may also comprise an output interface to transmit the at least one appropriate response to the user at a user device using any number of AI-based and data processing techniques to better identify customer touchpoints and improve customer journey and experience during customer engagement scenarios.Type: GrantFiled: March 15, 2019Date of Patent: May 25, 2021Assignee: CONTACTENGINE LIMITEDInventors: Andrew Mark Ayers, Giles Bryan, Mark Kingsley Smith
-
Publication number: 20210089624Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.Type: ApplicationFiled: September 24, 2019Publication date: March 25, 2021Applicant: ContactEngine LimitedInventors: Dominic Bealby-Wright, Cosmin Dragos Davidescu
-
Publication number: 20200293619Abstract: A system for artificial intelligence (AI) based omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and an analytics subsystem to communicate with the server and the data store in the network. The analytics subsystem may comprise a data access interface to receive communication data from a user via a first communication channel. The analytics subsystem may comprise a processor to provide a proactive, adaptive, and intelligent to conversation with the user via a second communication channel. The system may also comprise an output interface to transmit the at least one appropriate response to the user at a user device using any number of AI-based and data processing techniques to better identify customer touchpoints and improve customer journey and experience during customer engagement scenarios.Type: ApplicationFiled: March 15, 2019Publication date: September 17, 2020Applicant: ContactEngine LimitedInventors: Andrew Mark Ayers, Giles Bryan, Mark Kingsley Smith
-
Publication number: 20200293621Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omnichannel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.Type: ApplicationFiled: September 24, 2019Publication date: September 17, 2020Applicant: ContactEngine LimitedInventors: Andrew Mark AYERS, Giles BRYAN, Mark Kingsley SMITH
-
Publication number: 20200293587Abstract: A system for a digital content security and communications system using n artificial intelligence (AI) based machine learning and predictive analysis is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and an analytics subsystem to communicate with the server and the data store in the network. The analytics subsystem may comprise a data access interface to receive communication data from a user via a first communication channel. The analytics subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation with the user via a second communication channel.Type: ApplicationFiled: March 15, 2019Publication date: September 17, 2020Applicant: ContactEngine LimitedInventors: Andrew Mark AYERS, Giles BRYAN, Mark Kingsley SMITH