- Gap review, remediation roadmap, and implementation support
- Policy package, evidence mapping, and submission prep
- Designed for primes and subs across non-tech and tech work
Foundation Digital Twin Auto Feature Extraction (FDT AFE)
Sources Sought from NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY (NGA) • DEPT OF DEFENSE. Place of performance: United States. Response deadline: Apr 06, 2026. Industry: NAICS 541715.
CMMC support options for this DoD solicitation
As DoD CMMC rollout expands, approximately 80%+ of DoD solicitations are expected to include cybersecurity/CMMC requirements, including many non-tech scopes.
- Structured checklist, AI guidance, and progress tracking
- Build evidence and controls with clearer next-step workflows
- Ideal for teams that want speed plus affordability
Market snapshot
Awarded-market signal for NAICS 541715 (last 12 months), benchmarked to sector 54.
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Point of Contact
Agency & Office
More in NAICS 541715
Description
20260310
Corrected Response date within SAM to 06 April 2026.
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20260309
Please see updated attachment 2 RFI response date, and attachment questions with changes highlighted in yellow.
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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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BidPulsar Analysis
A practical, capture-style breakdown of fit, requirements, risks, and next steps.
FAQ
How do I use the Market Snapshot?
It summarizes awarded-contract behavior for the opportunity’s NAICS and sector, including a recent pricing band (P10–P90), momentum, and composition. Use it as context, not a guarantee.
Is the data live?
The signal updates as new awarded notices enter the system. Always validate the official award and solicitation details on SAM.gov.
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P10 is the 10th percentile award size and P90 is the 90th percentile. Together they describe the typical spread of award values.