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This Sources Sought opportunity from Department Of Defense was posted on March 30, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Foundation Digital Twin Auto Feature Extraction (FDT AFE)

Closed
RFI-HM0476-03052026Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

Active Opportunities Like This One

NAICS: 541715
New
Federal
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Solicitation # ARPA-H-SOL-26-160
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Advanced Research Projects Agency For Health (arpa-H)

POSTED

about 8 hours ago

DEADLINE

in 20 days
NAICS: 541715
New
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NASA Goddard Space Flight Center

POSTED

about 8 hours ago

DEADLINE

in about 1 month
NAICS: 541715
New
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Engineering Support for the Asymmetric Systems
Solicitation # N0017827R3106
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Nswc Dahlgren

POSTED

about 8 hours ago

DEADLINE

in 7 days

General Info

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

MO, USA

Set-Aside

NONE

Documents

13

Automated Feature Extraction RFI Objective Questions

PDF, High priority: read this first1 page · rfi
High

Automated Feature Extraction RFI Objective Questions

PDF, High priority: read this first1 page · rfi
High

Automated Feature Extraction RFI Objective Questions v2

PDF, High priority: read this firstrfi
High

FDT AFE RFI Questions 20260316

XLSX, High priority: read this firstq-and-a
High

FDT AFE RFI Questions 20260330 V2

XLSX, High priority: read this firstrfi
High

NGA Foundation Digital Twin Automated Feature Extraction RFI

PDF, High priority: read this first7 pages · rfi
High

NGA Foundation Digital Twin Automated Feature Extraction RFI 20260309

PDF, High priority: read this first7 pages · rfi
High

NGA Foundation Digital Twin Automated Feature Extraction Statement of Objectives v1.0

PDF, High priority: read this first9 pages · soo
High

NGA RFI Foundation Digital Twin Automated Feature Extraction

PDF, High priority: read this firstrfi
High

Responses to Use Cases for Automated Feature Extraction RFI

PDF, High priority: read this first3 pages · rfi
High

The NGA Software Way Implementation Guide

PDF, High priority: read this first12 pages · specifications
High

FDT AFE RFI Questions Template

XLSX, Low priority2 pages · rfi
Low

NGA Data Strategy (September 2021)

PDF, Low priority28 pages · other
Low

AI Contract Breakdown

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Timeline

4 updates
PhaseClosed
Posted

Sources Sought

Notice updated

Response deadline changed from Mar 30, 2026 to Apr 30, 2026. The notice description changed.

Notice updated

Response deadline changed from Apr 30, 2026 to Apr 6, 2026. The notice description changed.

Notice updated

The notice description changed.

Notice updated

The notice description changed.

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → National Geospatial-Intelligence Agency
Contacts2 people available
OfficeARNOLD, MO, 630106238, USA
Office AddressARNOLD, MO, 630106238, USA

Full Description

Show more

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.

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