Foundation Digital Twin Auto Feature Extraction (FDT AFE) RFI-HM0476-03052026
Summary
AI-generated · Mar 09, 2026NGA is seeking information on out-of-the-box Automated Feature Extraction (AFE) capabilities and how they can be delivered as a service to support NGA operations in automatically detecting and extracting geospatial features from imagery and raster maps, to meet the objectives described in Attachment 1 - AFE SOO, section 4.0.
This is a request for information (RFI) only and not a request for proposals; no procurement commitment is implied. Respondents should provide industry input on capable AFE solutions and service delivery approaches. Responses are due by 5:00 pm ET on 30 March 2026, must be submitted via email to the listed addresses with the subject line “RFI Response Foundation Digital Twin Automated Feature Extraction,” and will be treated as Government property. Submissions are at respondents’ expense, and NGA will not pay for any information or administrative costs.
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 30 March 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.
From Sources Sought posted on Mar 05, 202620260309 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 04 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.
From Sources Sought posted on Mar 09, 202620260310 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.
From Sources Sought posted on Mar 10, 202620260316 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.
From Sources Sought posted on Mar 16, 202620260330 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.
From Sources Sought posted on Mar 30, 2026Notice history
5-
Sources Sought Posted Mar 05, 2026
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Sources Sought Posted Mar 09, 2026View changes (2)
- Description: Description was updated
- Response Deadline: Mar 30, 2026 → Apr 30, 2026
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Sources Sought Posted Mar 10, 2026View changes (2)
- Description: Description was updated
- Response Deadline: Apr 30, 2026 → Apr 06, 2026
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USA