GovChime
Notice ID: 416bbf8724cd418bbb4394c01e87646eSources SoughtArchived

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.

______________________________________________________________________________________________________

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.

Full description on SAM.gov

Award Overview

Contacts

Contracting Officer

Primary Contact

Secondary Contact

Documents

Files (13)

  • 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
    Download

Lifecycle

  1. 1
    Version 1Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice ff99441da4e84ee199b947dc72df6945 on SAM.gov

  2. 2
    Version 2Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice e739aa1d98e046d08ad5d6471e42729b on SAM.gov

  3. 3
    Version 3Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice 4427b0fb0b3a4a4e826168f6d71fd798 on SAM.gov

  4. 4
    Version 4Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice 1a12b0ab9a7547f7ab1b64e79d236151 on SAM.gov

  5. 5
    Version 5Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice dbc9330a7900469880834efa4b6c180c on SAM.gov

  6. 6
    Version 6Sources SoughtArchived

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice f460099830054385834710e1f1a8a969 on SAM.gov

  7. 8
    Version 8Sources SoughtArchivedCurrent

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Notice 416bbf8724cd418bbb4394c01e87646e on SAM.gov

Similar Opportunities

Additional Details

Solicitation Number

RFI-HM0476-03052026

Archive Date

Apr 30, 2026

Office Address

ARNOLD, MO, 630106238