Bid guide
How to bid on Automated Vertical Obstruction Identification and Detection for NGA
What the NGA is buying and why it matters
The National Geospatial-Intelligence Agency (NGA) is looking for information on solutions to identify and characterize vertical obstructions. This involves using machine learning, computer vision, high-resolution imagery, and elevation data.
The goal is to support low-altitude aviation mission planning and geospatial intelligence analysis. The NGA wants a solution that can improve detection speed and accuracy, while also reducing the need for staff and financial resources. This work will apply to both rural and urban environments.
Key dates and what happens at the deadline
This is a Request for Information (RFI), published on August 05, 2026. Responses are due by August 19, 2026, at 6:00 PM ET. At the deadline, the NGA will stop accepting submissions.
For an RFI, the agency is gathering information and ideas, not accepting formal bids for a contract. Your response helps the NGA understand current capabilities in the market and may influence future solicitations.
Who this opportunity suits
This opportunity is suitable for firms with expertise in professional services, particularly those specializing in machine learning, computer vision, geospatial data analysis, and high-resolution imagery processing. Companies that can demonstrate innovative approaches to automated detection and characterization of vertical obstructions would be a good fit.
The NGA is interested in solutions that can enhance aviation mission planning and geospatial intelligence, so vendors with experience in these areas will be well-suited.
How to access and respond to the RFI
To view the original source of this opportunity, click the “View original source” link. If the first click takes you to the portal’s homepage, click the link again to go directly to the bid.
You may need to create a free account on the portal to access all documents related to this RFI. Some opportunities allow you to view documents without an account.
Tips for preparing a competitive response
When responding to an RFI, focus on clearly describing your capabilities and how they align with the agency's stated needs. Highlight your firm's experience with machine learning, computer vision, and geospatial data.
Emphasize how your proposed solution can improve detection speed and accuracy, and specifically address how it can reduce personnel and financial burdens for the NGA. Provide concrete examples or case studies if possible, without inventing details not requested by the RFI.
See the live bid — deadline, agency details, and how to respond
Dates and requirements can change via addenda; always verify on the bid page and at the original source before responding.
View this bid on BiddingSimpleThis guide was prepared by BiddingSimple from the solicitation’s public posting. It is not official guidance from DEPT of Defense; the original posting controls.