Name | Type | Posted | Actions |
|---|---|---|---|
FDT_AFE_RFI_Questions_20260330_V2.xlsx | XLSX | Mar 30, 2026 | |
Attch3_Automated Feature Extraction RFI Objective Questions v2.pdf | Mar 16, 2026 | ||
Attch2_FDT_AFE_RFI_20260316.pdf | Mar 16, 2026 | ||
FDT_AFE_RFI_Questions_20260316.xlsx | XLSX | Mar 16, 2026 | |
Attch3_Automated Feature Extraction RFI Objective Questions 20260309.pdf | Mar 9, 2026 | ||
Attch2_FDT_AFE_RFI_20260309.pdf | Mar 9, 2026 | ||
FDT_AFE_RFI_Questions_Template.xlsx | XLSX | Mar 5, 2026 | |
Attch3_Automated Feature Extraction RFI Objective Questions.pdf | Mar 5, 2026 | ||
AppendixB-NGA_Software_Way.pdf | Mar 5, 2026 | ||
Attch2_FDT_AFE_RFI_03052026.pdf | Mar 5, 2026 | ||
Attch1_FDT_AFE_SOO_Auto_Feature_Extraction_20260225.pdf | Mar 5, 2026 | ||
AppendixA-NGA_Data_Strategy.pdf | Mar 5, 2026 | ||
Attch4_Responses to USE CASES.pdf | Mar 5, 2026 |
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
Contact and place of performance
Daniel R. Fadely
USA
20260330 Updated FDT AFE RFI Questions Spreadsheet V2 added. ______________________________________________________________________________________________________ 20260316 Amended Attch 2 & Attch 3. Uploaded FDT AFE RFI Questions Speadsheet ______________________________________________________________________________________________________ 20260310 Corrected Response date within SAM to 06 April 2026. ___...
View moreNGA has a mission-critical need for implementing the Automated Feature Extraction (AFE) to improve efficiency and effectiveness in mission data feature collection. This RFI seeks industry input on available out-of-the-box AFE capabilities and how they can be provided as a service to support NGA operations to automatically detect and extract geospatial features from various data input sources, including imagery and raster maps, to meet the objectives described within Attachment 1 - AFE Statement of Objectives (SOO), section 4.0.
In accordance with Attachment 2 titled “FDT AFE RFI” Section 4.4, Responses are due no later than 5:00 pm ET on 06 April 2026. Responses shall be limited to and submitted via e-mail only as a message attachment to Dan Fadely at [email protected] and Dee Hill at [email protected] with the message subject line “RFI Response – Foundation Digital Twin Automated Feature Extraction .
This RFI is only intended for the Government to identify sources that can provide the services needed to fulfill the Government’s SOO. The information provided in this RFI is subject to change and is not binding to the Government. The Government has not made a commitment to procure any of the RFI requirements discussed, and release of this RFI should not be construed as such a commitment or as authorization to incur cost for which reimbursement would be required or sought. All submissions become Government property and will not be returned.
The National Geospatial-Intelligence Agency (NGA) has issued solicitation RFI-HM0476-03052026 as a Sources Sought notice to identify industry capabilities for Automated Feature Extraction (AFE). This market research initiative focuses on implementing AFE technologies to improve the efficiency and effectiveness of mission data feature collection. The government is specifically seeking information on available out-of-the-box AFE capabilities that can be provided as a service to automatically detect and extract geospatial features from various data sources, such as imagery and raster maps, in support of Foundation Digital Twin objectives.
This requirement is categorized under NAICS code 541715, Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Performance will take place within the United States. The notice includes 13 attachments, such as multiple versions of objective questions, RFI instruction documents, and question-and-answer spreadsheets updated as recently as March 30, 2026.
Interested parties must submit their responses via email to the primary point of contact, Daniel R. Fadely, no later than 5:00 pm ET on April 6, 2026. Submissions are limited to the instructions provided in the formal RFI attachments and must include the subject line "RFI Response – Foundation Digital Twin Automated Feature Extraction." This request is for information and planning purposes only and does not constitute a commitment by the government to procure services or reimburse administrative costs.
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