Matterport, In-Q-Tel Developing Digital Twin Platform for Government
Matterport, a simulation and modeling software company, has partnered with In-Q-Tel to develop a compliant GovCloud offering designed to digitize government operations.
According to Matterport, the government can use its technology to create digital twins of infrastructure, facilities and other assets that can be rapidly accessed for various use cases.
Digital twins are digital copies of real-world places or objects. Accurate and up-to-date digital twins can be achieved through artificial intelligence and machine learning technologies, Matterport said.
The platform is expected to benefit the Intelligence Community, the Federal Emergency Management Agency, the Department of Defense and the Department of Health and Human Services.
“Access to 3D digital twins and the spatial data behind them can fuel a multitude of use cases such as emergency response, military training and historical preservation,” said George Hoyem, managing partner at In-Q-Tel.
Japjit Tulsi, chief technology officer at Matterport, said the partnership with IQT expedited the technology’s development and could help it reach more customers.
IQT is a nonprofit organization specializing in cybersecurity solutions.
Matterport said it will deploy the platform to Amazon Web Services GovCloud to address regulatory and cybersecurity compliance requirements.
GovCloud will allow government users to securely access and manage sensitive information, Matterport added.
GovCloud covers compliance regimes such as the Federal Risk and Authorization Management Program, the Department of Justice’s Criminal Justice Information Systems Security Policy, U.S. International Traffic in Arms Regulations, Export Administration Regulations and some levels of the Department of Defense’s Cloud Computing Security Requirements Guide.
Category: Digital Modernization
Tags: AI Amazon Web Services artificial intelligence compliance digital modernization digital twin digitization DoD FEMA GovCloud HHS Intelligence Community Japjit Tulsi machine learning Matterport modeling simulation