Automated Vertical Obstruction Identification and Detection (AVOID)
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
The National Geospatial-Intelligence Agency is seeking a contractor to develop and deliver an automated system for identifying and detecting vertical obstructions, branded as AVOID, using advanced computer vision and machine learning technologies integrated with high-resolution imagery and elevation data. The solution must enable rapid, accurate detection and characterization of vertical obstructions in both dense urban and rural environments to support low-altitude aviation mission planning, rehearsal, and geospatial intelligence analysis. The system is designed to enhance decision-making by providing timely, actionable data to military and operational planners, while significantly improving the efficiency and speed of current workflows through automation. The contractor must deliver a scalable, enterprise-level capability that reduces the personnel and financial burden associated with manual vertical obstruction analysis. This includes deploying the technology to operate effectively across complex terrain and infrastructure, helping aviation assets navigate safely by avoiding natural and manmade obstructions. The solicitation, numbered HM047626R0061 and classified under NAICS code 541370, is open for responses until August 19, 2026, with inquiries directed to Ryan Switzer and Justin Koesterer at the NGA’s office in Arnold, Missouri. Performance will occur in Springfield, Virginia, and no set-aside provisions apply, meaning all eligible entities may compete.
General Info
Agency
NAICS
Place of Performance
Springfield, VA, 22150, USASet-Aside
Documents
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Timeline
Response Deadline
Organization & Contact Information
Full Description
The NGA is seeking a contractor capable of providing comprehensive VO data using cutting edge technologies such as, but not limited to, CV/Machine Learning (ML) detection and characterization technologies integrated with comprehensive, high-resolution imagery and elevation data. These capabilities must enable low-altitude aviation mission planning and enhance geospatial intelligence analysis by providing timely mission data to decision-makers preparing for and conducting aviation mission planning and rehearsals.
The NGA requires the contractor‑derived solution to evolve, augment, and accelerate enterprise‑level VO identification and characterization analysis workflows by employing technologies capable of rapid and accurate VO detections. The contractor‑provided solution is required to increase productivity while reducing both personnel and financial resource burdens.
The NGA requires access to, and deployment of the contractor provided capabilities to deliver a critical advantage to aviation mission planning throughout dense rural and urban infrastructure environments while maneuvering to avoid a variety of natural and manmade VO’s.
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