Foundation Digital Twin Auto Feature Extraction (FDT AFE)
Archived on April 30, 2026. Original response deadline: . Full description on SAM.gov.
Overview
- Response deadline
- 5:00 PM EDT
- Posted
- March 30, 2026
- Notice type
- Sources Sought
- NAICS
- 541715: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Agency
- Department of WarNATIONAL GEOSPATIAL-INTELLIGENCE AGENCY (NGA)
Notice details
- Office
- NATL GEOSPATIAL-INTELLIGENCE AGENCY
- Last updated
- Nov 1, 2026
- First published
- Last updated on SAM.gov
Identifiers
- Solicitation number
- RFI-HM0476-03052026
- Notice ID
- 416bbf8724cd418bbb4394c01e87646e
Description
20260330
Updated FDT AFE RFI Questions Spreadsheet V2 added.
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20260316
Amended Attch 2 & Attch 3. Uploaded FDT AFE RFI Questions Speadsheet
______________________________________________________________________________________________________
20260310
Corrected Response date within SAM to 06 April 2026.
_______________________________________________________________________________________________________
20260309
Please see updated attachment 2 RFI response date, and attachment questions with changes highlighted in yellow.
________________________________________________________________________________________________________
THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. This RFI is issued solely for information and planning purposes – it does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. This RFI does not commit the Government to contract for any supply or service whatsoever. Further, NGA is not seeking proposals at this time and will not accept unsolicited proposals. Responders are advised that the U.S. Government will not pay for any information or administrative costs incurred in response to this RFI. All costs associated with responding to this RFI will be solely at the interested party’s expense. Not responding to this RFI does not preclude participation in any future RFP, if any is issued.
NGA 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 Daniel.R.Fadely@nga.mil and Dee Hill at Delores.M.Hill@nga.mil 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.
Award Overview
Contacts
Contracting Officer
Primary Contact
Secondary Contact
Documents
Files (13)
- Download
FDT_AFE_RFI_Questions_20260330_V2.xlsx
23 KBAdded in Sources Sought version 8Posted - Download
Attch2_FDT_AFE_RFI_20260316.pdf
551 KBAdded in Sources Sought version 6Posted - Download
Attch3_Automated Feature Extraction RFI Objective Questions v2.pdf
335 KBAdded in Sources Sought version 6Posted - Download
FDT_AFE_RFI_Questions_20260316.xlsx
21 KBAdded in Sources Sought version 6Posted - Download
Attch2_FDT_AFE_RFI_20260309.pdf
551 KBAdded in Sources Sought version 3Posted - Download
Attch3_Automated Feature Extraction RFI Objective Questions 20260309.pdf
356 KBAdded in Sources Sought version 3Posted - Download
Attch1_FDT_AFE_SOO_Auto_Feature_Extraction_20260225.pdf
869 KBAdded in Sources Sought version 1Posted - Download
Attch2_FDT_AFE_RFI_03052026.pdf
314 KBAdded in Sources Sought version 1Posted - Download
Attch3_Automated Feature Extraction RFI Objective Questions.pdf
332 KBAdded in Sources Sought version 1Posted - Download
Attch4_Responses to USE CASES.pdf
273 KBAdded in Sources Sought version 1Posted - Download
AppendixA-NGA_Data_Strategy.pdf
6.8 MBAdded in Sources Sought version 1Posted - Download
AppendixB-NGA_Software_Way.pdf
710 KBAdded in Sources Sought version 1Posted - Download
FDT_AFE_RFI_Questions_Template.xlsx
20 KBAdded in Sources Sought version 1Posted
Lifecycle
- 1Version 1Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 2Version 2Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 3Version 3Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 4Version 4Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 5Version 5Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 6Version 6Sources SoughtArchived
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
- 8Version 8Sources SoughtArchivedCurrent
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
Similar Opportunities
Additional Details
Solicitation Number
RFI-HM0476-03052026
Archive Date
Apr 30, 2026
Office Address
ARNOLD, MO, 630106238