Somos, Inc.

Somons, Inc.

Sriram Sharma

Michael Kimmel

William Carter

Ryan Karnas

Sanjeev Chauhan

Suk Yee Wong

Manisha Bhat

Pamela J Carter

Dewang Lakhani

Alan Stiffler

Sridhar Ramachandran

Jeffrey Scott Smith

Robert J Sliwa

Li Kong

Christopher Anton Wendt

Haofang Yu

Eduardo Correia Da Silva Brazao

Kimberly Tashner Shyu

Marc Rudloff Plante

Steven Norman Brumer

Ian Michael Klein

Pamela J Chauhan

A method including: receiving a user report dataset indicating fraudulent activity corresponding to a phone number; responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number; and tagging the record to identify the phone number as being associated with fraudulent activity.

Systems and methods for tagging fraudulent phone numbers

A method including: receiving one or more datasets indicating call activity corresponding to a phone number; analyzing the one or more datasets to identify unusual call activity; and generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

Systems and methods for phone number fraud prediction

An Internet of Things device registry display that includes a user input processing circuit structured to interpret one or more user input command values, an Internet of Things Universal Identification (IoT UID) identification circuit structured to determine one or more IoT UIDs, based at least in part on the one or more user input command values, a device lookup circuit structured to: generate a query that includes the one or more IoT UIDs, and retrieve device property data corresponding to the one or more IoT UIDs, a query provisioning circuit structured to transmit the query to an IoT device registrar server, a device property processing circuit structured to interpret the device property data generated by the IoT device registrar server in response to the query, and a display circuit structured to display the device property data with the corresponding one or more IoT UIDs.

Systems and methods for an internet of things device registry display

A method for predicting fraudulent call activity is provided. The method includes receiving one or more datasets indicating call activity corresponding to a phone number, and analyzing the one or more datasets to identify unusual call activity. The method further includes generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

Toll-free numbers metadata tagging, analysis and reporting

A method for identifying a fraudulent phone number is provided. The method includes receiving a user report dataset indicating fraudulent activity corresponding to a phone number, and responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number. The method further includes tagging the record to identify the phone number as being associated with fraudulent activity.

Toll-free telecommunications and data management platform

A method including receiving a natural language input and determining a telecommunications routing code based at least in part on the natural language input. The telecommunications routing code is associated with routing calls to a telecommunications number. The method further includes populating the telecommunications routing code at a node of a call routing decision tree to generate a populated call routing decision tree comprising a call routing template.

Toll-free telecommunications management platform

A Toll-Free Management Platform (TFMP) includes methods and systems for number administration, customer administration, call management services, texting services and text registry, and a smart services registry. The TFMP may allow users to receive through a web-based interface, an activate request from a user, wherein the request includes at least a customer record template reference and an indication of when to active a toll-free telecommunications number associated with the request. The request may include at least one IP address datum associated with the toll-free telecommunications number. A user interface may allow activating a toll-free number, and users may access the TFMP to create and access existing templates of toll-free call routing templates, and utilize a routing tree engine to create customized call routing trees for the toll-free numbers of interest to the user.

A method for reducing costs associated with fraudulent call activity is provided. The method includes receiving data associated with usage of a telecommunications number. The method further includes analyzing the data to determine that the usage of the telecommunications number is indicative of a fraudulent call activity. The method further includes assigning a call route to the telecommunications number adapted to reduce a cost associated with the fraudulent call activity.

A toll-free tagging service is provided that includes a subscription-based service that is made available to responsible organizations, consumers and businesses. The toll-free tagging service may provide the ability to tag a toll-free number (or group of numbers), and once a number is tagged, to track updates to that number that may then be distributed to customers through emails/text messages or other means. Subscribers of the toll-free tagging service may also have the ability to create, view, update and delete tags through a web application, mobile application, or some other user interface.

Methods and systems are provided for the management, routing and reporting of toll-free telecommunications calls and data. Methods and systems are provided for pre-populating a call routing template based on natural language inputs and populating telecommunications routing codes at nodes of a call routing decision tree to generate a call routing template that may be identified and presented to a user interface based at least in part on a natural language input.

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Herndon, VA, United States of America

Sriram Sharma