Closed Solicitation · DEPT OF DEFENSE

    Foundation Digital Twin Auto Feature Extraction (FDT AFE)

    Sol. RFI-HM0476-03052026Sources SoughtARNOLD, MO
    Closed
    STATUS
    Closed
    closed Apr 6, 2026
    POSTED
    Mar 30, 2026
    Publication date
    NAICS CODE
    541715
    Primary industry classification
    PSC CODE
    97AB
    Product & service classification

    AI Summary

    The National Geospatial-Intelligence Agency (NGA) is seeking information on Automated Feature Extraction (AFE) capabilities to enhance geospatial feature collection. This RFI aims to gather industry insights on available services for detecting and extracting features from various data sources. Responses are due by 5:00 pm ET on April 6, 2026, and should be submitted via email.

    Contract details

    Solicitation No.
    RFI-HM0476-03052026
    Notice Type
    Sources Sought
    Posted Date
    March 30, 2026
    Response Deadline
    April 6, 2026
    NAICS Code
    541715AI guide
    PSC / Class Code
    97AB
    Contract Code
    97AB
    Primary Contact
    Daniel R. Fadely
    City
    ARNOLD
    State
    MO
    ZIP Code
    630106238
    AI Product/Service
    service

    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.

    Key dates

    1. March 30, 2026Posted Date
    2. April 6, 2026Proposals / Responses Due

    AI search tags

    Frequently asked questions

    Foundation Digital Twin Auto Feature Extraction (FDT AFE) is a federal acquisition solicitation issued by DEPT OF DEFENSE. Review the full description, attachments, and submission requirements on SamSearch before the response deadline.

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