Australia:NEA

New era of property risk management enabled by transformational location intelligence technology

Retrieved on: 
Tuesday, October 11, 2022

SALT LAKE CITY, Oct. 11, 2022 /PRNewswire/ -- Organizations responding to the challenges of a changing climate – in sectors including insurance, government, financial services, architecture, construction, and engineering – will soon be supported by a range of transformational technologies from leading location intelligence and aerial imagery company, Nearmap. The new products will provide automated insights and enable companies to rapidly evaluate property conditions and risks.

Key Points: 
  • The new products will provide automated insights and enable companies to rapidly evaluate property conditions and risks.
  • Nearmap is the only company that owns the entire technology stack for location analytics, including the camera technology, image capture, processing, content, delivery, and machine learning capability.
  • The fifth and latest generation of Nearmap AI is enabled by a new deep learning model trained on a much larger data set.
  • The launch of the latest generation of Nearmap AI will enable a range of advanced analytics products that will transform property risk management.

U.S. federal government access to powerful location intelligence services and location data boosted by addition of Nearmap as an approved GSA contractor

Retrieved on: 
Thursday, June 30, 2022

SALT LAKE CITY, June 30, 2022 /PRNewswire/ -- Federal government agencies in the U.S. now have streamlined access to geospatial services and location data from leading location intelligence company Nearmap, which is now an approved contractor on the U.S. General Services Administration (GSA) Schedule.

Key Points: 
  • Strong demand for Nearmap location data from U.S. federal agencies prompts Nearmap to stake claim as an approved vendor on theGeneral Services Administration Contract Schedule
    SALT LAKE CITY, June 30, 2022 /PRNewswire/ -- Federal government agencies in the U.S. now have streamlined access to geospatial services and location data from leading location intelligence company Nearmap , which is now an approved contractor on the U.S. General Services Administration (GSA) Schedule.
  • Applications for the powerful location data intelligence and aerial imagery from Nearmap include homeland security, federal civil asset management, military asset management, infrastructure management, environmental studies, and FEMA resilience response and recovery missions.
  • Nearmap is widely recognized as a top location intelligence provider for state and local government organizations wishing to improve their workflows and save taxpayer resources.
  • The announcement of the addition of Nearmap to the GSA Schedule further demonstrates the growth and importance Nearmap places on supporting government agencies.

Nearmap location data integrated into workflows of America's largest provider of Computer Assisted Mass Appraisals for properties

Retrieved on: 
Monday, June 6, 2022

SALT LAKE CITY, June 6, 2022 /PRNewswire/ -- The assessment of millions of properties by government officials and property appraisers in the U.S. will be hugely improved and streamlined following a powerful partnership by leading location intelligence and aerial imagery firm, Nearmap, and America's largest provider of computer assisted mass appraisals (CAMA) for properties, Tyler Technologies (Tyler).

Key Points: 
  • The solution will incorporate regularly updated, high-quality Nearmap aerial imagery and location data into the workflows of Tyler's mass appraisal system.
  • Streamlined data collection and quality control which prevent data errors and omissions early in the process will increase trust in property valuations.
  • With the integration of regularly updated aerial imagery and location data into system workflows, Tyler customers can access a more comprehensive property solution.
  • Nearmap location technology and content is now used by government customers in 42 out of the 50 U.S. states where it offers location data.