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Enterprise LiDAR and Imagery Viewer Solution

Overview


Mapping, GIS & Surveying
Washington, United StatesPosted: July 30th, 2026Deadline: September 11th, 2026

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SUMMARY


The agency seeks a cloud-based enterprise solution for storing, viewing, and extracting features from statewide LiDAR and imagery datasets. The platform must support high-performance visualization, corridor-based streaming, and integration with existing GIS, engineering, and governance systems.

DESCRIPTION


The issuing agency is seeking an enterprise-level LiDAR and imagery viewer solution to store, manage, visualize, and extract features from statewide mobile, terrestrial, and aerial LiDAR datasets along with associated digital imagery. The solution is intended to support long-term secure storage, high-performance visualization, and automated or semi-automated extraction of roadway and roadside assets.

The requested platform must provide secure, scalable cloud storage for large LiDAR and imagery datasets and deliver a corridor-based viewer capable of streaming point clouds and imagery efficiently for users across the agency. It should also support viewing data from multiple sources, including external feature extraction solutions, GIS, and engineering drawings, for use cases related to engineering, surveying, asset management, safety, and planning.

The solution is expected to align with existing agency workflows, GIS systems, data governance frameworks, and IT security requirements. A pre-bid meeting is scheduled for August 6, 2026, and questions must be submitted by August 13, 2026. The anticipated contract term is one year.

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Frequently asked questions


When is the submission deadline?
Submissions are due September 11, 2026.
Who is a good fit for this opportunity?
  • Geospatial technology firm specializing in LiDAR, imagery, and point cloud platforms
  • Provider with enterprise cloud storage and high-performance data streaming capabilities
  • Experience supporting statewide or transportation agency geospatial programs
  • Expertise in automated or semi-automated roadway asset extraction
  • Ability to integrate with GIS systems, engineering drawings, and existing agency workflows
  • Strong information security and data governance compliance capabilities

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