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 is to develop advanced capabilities for automated feature extraction within digital twin environments. This project aims to enhance the NGA's geospatial intelligence capabilities by leveraging cutting-edge technologies to streamline data processing and improve the accuracy of feature identification in geospatial datasets.

**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 at daniel.r.fadely@nga.mil.

**KEY DATES:**  
- Posted Date: March 16, 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 is also not mentioned. There are no indications of option years in the documentation.

**MANDATORY REQUIREMENTS:**  
Bidders must meet the following mandatory requirements to be considered eligible:  
- Registration in SAM.gov is required.  
- Security clearances are necessary, though specific levels are not detailed.  
- There are no set-aside restrictions mentioned, indicating that the opportunity may be open to all businesses.  
- Geographic restrictions or place-of-performance requirements are not specified.  
- Bidders should have a minimum of five years of experience in relevant fields, although specific past performance requirements are not detailed.  
- No bonding or insurance requirements are mentioned.

**TECHNICAL CAPABILITIES:**  
Bidders must demonstrate expertise in automated feature extraction, digital twin technologies, and geospatial data processing. Familiarity with machine learning algorithms, data analytics platforms, and geospatial information systems (GIS) is essential. Specific tools or standards required for the project are not listed.

**DELIVERABLES AND PERFORMANCE STANDARDS:**  
Key deliverables and performance standards are not explicitly outlined in the provided information. Bidders should be prepared to define milestones and reporting requirements based on the project scope.

**EVALUATION CRITERIA:**  
The evaluation criteria for proposals have not been detailed in the documentation. Bidders should anticipate that factors such as technical approach, past performance, and price will be considered, but specific weighting or priority is not provided.

**PREFERRED QUALIFICATIONS:**  
While not mandatory, preferred qualifications that may enhance a bidder's proposal include advanced certifications in geospatial technologies, experience with digital twin implementations, and a proven track record of successful projects in automated feature extraction.

In summary, bidders interested in the FDT AFE project should ensure they meet the mandatory requirements and possess relevant technical capabilities while also considering how their experience aligns with the NGA's objectives.

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/f460099830054385834710e1f1a8a969/view

Foundation Digital Twin Auto Feature Extraction (FDT AFE)

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