Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.
Type:
Grant
Filed:
September 2, 2021
Date of Patent:
June 6, 2023
Assignee:
SAFESITE SOLUTIONS, INC.
Inventors:
Peter Grant, David Fontain, Leigh Appel, Emilio Figueroa
Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.
Type:
Application
Filed:
September 2, 2021
Publication date:
December 23, 2021
Applicant:
SAFESITE SOLUTIONS, INC.
Inventors:
Peter Grant, David Fontain, Leigh Appel, Emilio Figueroa
Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.
Type:
Grant
Filed:
December 13, 2019
Date of Patent:
November 9, 2021
Assignee:
SAFESITE SOLUTIONS, INC.
Inventors:
Peter Grant, David Fontain, Leigh Appel, Emilio Figueroa