Question 1

What is "Foundation Digital Twin Auto Feature Extraction (FDT AFE)"?

Accepted Answer

**PROCUREMENT OVERVIEW:**  
The National Geospatial-Intelligence Agency (NGA) is seeking proposals for the Foundation Digital Twin Auto Feature Extraction (FDT AFE) project. The core objective of this initiative is to develop automated feature extraction capabilities for digital twin environments, which are essential for enhancing geospatial intelligence operations. The project aims to improve the accuracy and efficiency of data processing and analysis by leveraging advanced technologies in feature extraction, thereby fulfilling the NGA's need for enhanced geospatial data management and utilization.

**ISSUING ORGANIZATION:**  
The issuing organization is the National Geospatial-Intelligence Agency (NGA), located in Missouri, USA. The primary contact for this opportunity is Daniel R. Fadely, who can be reached via email at daniel.r.fadely@nga.mil.

**KEY DATES:**  
- Posted Date: March 10, 2026  
- Proposal Due Date: April 6, 2026  
- Anticipated Award Date: Not specified  
- Performance Period: Not specified

**CONTRACT DETAILS:**  
The contract type is not explicitly stated in the provided information. The estimated contract value or budget range has not been mentioned. There are no details regarding option years.

**MANDATORY REQUIREMENTS:**  
To be considered eligible, bidders must meet the following mandatory requirements:  
- Registration in SAM.gov is required.  
- Security clearances are necessary, although specific levels are not detailed.  
- There are no set-aside restrictions mentioned (e.g., 8(a), HUBZone, SDVOSB).  
- Geographic restrictions or place-of-performance requirements are not specified.  
- Minimum years of experience or past performance requirements are not detailed.  
- Bonding or insurance requirements are not mentioned.

**TECHNICAL CAPABILITIES:**  
Bidders must demonstrate specific technical skills and expertise in automated feature extraction methodologies, geospatial data processing, and digital twin technologies. Familiarity with relevant tools, platforms, and standards in the geospatial intelligence domain is essential.

**DELIVERABLES AND PERFORMANCE STANDARDS:**  
Key deliverables and performance standards have not been explicitly outlined in the provided information. Bidders should anticipate the need for milestones related to project phases, reporting requirements, and adherence to performance metrics, which may be specified in the full RFP document.

**EVALUATION CRITERIA:**  
The evaluation criteria for proposals have not been detailed in the provided information. Bidders should prepare to address factors such as technical approach, past performance, and pricing, with an emphasis on how their proposals align with the NGA's objectives.

**PREFERRED QUALIFICATIONS:**  
While not mandatory, bidders with experience in similar geospatial intelligence projects, advanced certifications in relevant technologies, and a proven track record in automated feature extraction will have a competitive advantage in the evaluation process.

In summary, bidders interested in this opportunity should ensure compliance with mandatory requirements while highlighting their technical capabilities and relevant experience to enhance their proposal's competitiveness.

Question 2

When is the proposal submission deadline?

Accepted Answer

The proposal submission deadline is April 6, 2026 (3 days left).

Question 3

What NAICS codes apply to this opportunity?

Accepted Answer

The applicable NAICS codes are: 541715.

Question 4

Are there any set-aside requirements?

Accepted Answer

Yes, this opportunity includes the following set-asides: null.

Question 5

Where can I submit a proposal or get solicitation documents?

Accepted Answer

You can access the full solicitation documents and submit your proposal at: https://sam.gov/workspace/contract/opp/dbc9330a7900469880834efa4b6c180c/view

Foundation Digital Twin Auto Feature Extraction (FDT AFE)

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