In one embodiment, the method of processing telephony sessions includes: communicating with an application server using an application layer protocol; processing telephony instructions with a call router; and creating call router resources accessible through a call router Application Programming Interface (API). In another embodiment, the system for processing telephony sessions includes: a call router, a URI for an application server, a telephony instruction executed by the call router, and a call router API resource.

Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Disclosed are systems, methods, and media capable of generating and implementing emergency flows. The emergency flow is highly customizable and can connect with various stakeholders (user, emergency contacts, corporate representatives, emergency service provider personnel, etc.). The systems, methods, and media can be triggered in various ways including user input (e.g. voice command) or by sensors (e.g. by using sound detection capabilities).

Disclosed are systems, methods, and media capable of generating and implementing emergency flows. The emergency flow is highly customizable and can connect with various stakeholders (user, emergency contacts, corporate representatives, emergency service provider personnel, etc.). The systems, methods, and media can be triggered in various ways including user input (e.g. voice command) or by sensors (e.g. by using sound detection capabilities).

In one embodiment, the method of processing telephony sessions includes: communicating with an application server using an application layer protocol; processing telephony instructions with a call router; and creating call router resources accessible through a call router Application Programming Interface (API). In another embodiment, the system for processing telephony sessions includes: a call router, a URI for an application server, a telephony instruction executed by the call router, and a call router API resource.

In one embodiment, the method of processing telephony sessions includes: communicating with an application server using an application layer protocol; processing telephony instructions with a call router; and creating call router resources accessible through a call router Application Programming Interface (API). In another embodiment, the system for processing telephony sessions includes: a call router, a URI for an application server, a telephony instruction executed by the call router, and a call router API resource.

Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

In one embodiment, the method of processing telephony sessions includes: communicating with an application server using an application layer protocol; processing telephony instructions with a call router; and creating call router resources accessible through a call router Application Programming Interface (API). In another embodiment, the system for processing telephony sessions includes: a call router, a URI for an application server, a telephony instruction executed by the call router, and a call router API resource.

In one embodiment, the method of processing telephony sessions includes: communicating with an application server using an application layer protocol; processing telephony instructions with a call router; and creating call router resources accessible through a call router Application Programming Interface (API). In another embodiment, the system for processing telephony sessions includes: a call router, a URI for an application server, a telephony instruction executed by the call router, and a call router API resource.

Automatic determination of caller identification information and encoding of such information in outgoing data requests, such a API calls to a call management component, are disclosed herein. The caller identification information may be determined by analyzing information associated with a call target to determine if the target has a custom outbound telephone number assigned, was contacted through a specific campaign, has local geographic data, is being called from a specific entity, or is being made from a call originator with a specific outbound number set. The system may execute machine learning on previous calling data in order to update caller identification selection models used for other outgoing calls.