Somos, Inc.

Sanjeev Chauhan

Sriram Sharma

William Carter

Michael Kimmel

Ryan Karnas

Suk Yee Wong

Manisha Bhat

Pamela J Carter

Dewang Lakhani

Alan Stiffler

Jeffrey Scott Smith

Sridhar Ramachandran

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

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 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 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.

Methods and systems for providing a rating system that allow for customers to create a database of toll-free numbers that are abused by malicious consumers which may be cloud-based and allow for service providers to dip prior to completing or accepting calls.

Management of toll-free number misuse and fraud detection

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 search for, receive recommendations for, and make reservations of toll-free numbers. A user interface may allow activating a toll-free number, through a one-click activation function 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. Predictive analytic services may be provided that allow a user through a customizable user interface, or dashboard, to access third party data sources and other information derived from toll-free telecommunications networks.

Growing community of inventors

Ashburn, VA, United States of America

Sanjeev Chauhan