Attch2_FDT_AFE_RFI_20260219.pdf

UNCLASSIFIED

Foundation Digital Twin Auto Feature Extraction

REQUEST FOR INFORMATION

Program Executive Office for Mapping, Charting, and Geodesy

1.0 DESCRIPTION & PURPOSE

The National Geospatial-Intelligence Agency (NGA) in support of the Program Executive Office for Mapping, Charting, and Geodesy (PEO MC&G) is seeking information on acquiring an innovative and comprehensive solution to automate the identification, extraction, and attribution of geospatial features, thereby transforming NGA’s Foundation GEOINT (FG) production environment. The Automated Feature Extraction (AFE) capability will be a critical enabler for modernizing Foundation GEOINT processes and will be integrated with key NGA systems, including the Vector & Cartographic Production System (VCPS) and the Foundation Digital

Twin (FDT) 3.0.

The current Foundation GEOINT environment faces significant operational challenges that impede efficiency and effectiveness. Foundation GEOINT (FG) Analysts spend extensive time on repetitive manual feature extraction, conflation, and validation, which are time-consuming activities that could be automated. To address these challenges and support NGA's 2035

GEOINT Concept of Operations, NGA is implementing the AFE capability. This initiative will leverage artificial intelligence and machine learning (AI/ML) to transform geospatial intelligence production, significantly reducing manual processing time, increasing data accuracy, and enabling the rapid delivery of intelligence to decision-makers.

1.2 The purpose of this Request for Information (RFI) is to gain information on current

Industry practices that would meet NGA’s requirements as described within the AFE Statement of Objectives (SOO).

1.3 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.

Past efforts funded by NGA and many others within the Department of War (DoW) and

Intelligence Community (IC) have primarily focused on using raw data point clouds using AFE to produce three-dimension (3D) algorithms resulting in mesh or game engines outputs for multiple mission scenarios and uses. Challenges have included the amount of processing power, registration, metadata mismatches/incomplete, conflation of data from multiple look angles/collect times/data file types, and voids in the data source(s) used to virtually create representations of terrain, features and outputs consumed by AFE solutions. Other AFE challenges have included the number of compute/infrastructure resources needed or required to produce products for consumption into other tools, development of metrics for validating the end products (e.g., precision, accuracy), feature(s) mismatch or incorrect features produced and time to produce content. This RFI is targeted to develop, deliver, and sustain a robust AFE capability that automatically detects and extracts geospatial features from various data input sources, including imagery and raster maps, to meet the goals described within the AFE SOO.

2.0 BACKGROUND

NGA has a mission-critical need for implementing the Automated Feature Extraction (AFE) capability. NGA’s PEO MC&G is responsible for managing and executing the Foundation

GEOINT (FG) capability. This initiative will leverage artificial intelligence and machine learning

(AI/ML) to transform geospatial intelligence production, significantly reducing manual processing time, increasing data accuracy, and enabling the rapid delivery of intelligence to decision-makers.

2.1 PLANNED ACQUISITION: See Attachment 1 SOO

2.2 PERFORMANCE:

2.2.1 PERIOD (POP): 12-month base period, and four (4) 12-month option periods.

2.2.2 LOCATION(S): Work shall be performed at Government-provided facilities, primarily NGA Washington (NGA-W) in Springfield, VA, and NGA St. Louis

(NGA-STL) in St. Louis, MO. Some work may be performed at contractor facilities as approved by the Government.

2.3 CONSTRAINTS AND LIMITATIONS: The following are anticipated to apply to this acquisition:

• The solution must include multiple source file formats, support both monoscopic and stereoscopic feature extraction, and be capable of processing data individually or in large batches with varying levels of feature detail(s) over multiple geographical areas of interest.

• The proposed solution must preserve the source data’s original geometry, spatial relationships, and metadata throughout the automated feature extraction process.

• The solution must include an intuitive interface for analysts to efficiently review, validate, and correct extracted features.

• The solution must utilize standardized data formats, such as GeoDatabase (GDB), Shapefile, and TDS 7.1, to ensure compatibility with NGA systems.

• The system must achieve 99.9% availability in production environment.

• The solution must be fully compliant with all applicable security directives, including DNI

ICD 503, and implement robust access controls based on user roles and clearances.

• Familiar with NGA policies for software development to include NGA Data Strategy and the

NGA Software Way

2.4 SECURITY REQUIREMENTS: The following security requirements are anticipated to apply to this acquisition: (Note that all of the personnel the responder anticipates performing the needed services would need to possess the appropriate security clearance at the time of proposal or quotation submission.)

• All work performed under this contract requires a Top Secret (TS) security clearance with access to Sensitive Compartmented Information (SCI) (TS/SCI). All contractor personnel shall possess a current TS/SCI clearance and be eligible for favorable NGA adjudication. Contractors are subject to a Counterintelligence-Scope Polygraph examination as requested by NGA. The contractor must abide by the DD Form 254, the

National Industrial Security Program Operating Manual (NISPOM), and all other applicable IC and NGA security policies and regulations, including those concerning information security, cybersecurity, and insider threat reporting.

2.5 ORGANIZATIONAL CONFLICT OF INTEREST: This acquisition is for developmental service.

In accordance with FAR Part 9.5, please discuss any performance which may lead to an OCI and how the Offeror would mitigate, avoid, or neutralize the conflict.

3.0 REQUESTED INFORMATION

Responses must only contain UNCLASSIFIED information and be marked “UNCLASSIFIED” on all pages in both the header and footer. No classified information may be included in your response.

Neither proprietary or classified concepts, nor classified information should be included in the submittal. Input on the information contained in the responses may be solicited and reviewed by

NGA non-Government consultants or experts who are bound by appropriate non-disclosure agreements.

3.1 ADMINISTRATIVE

Information to include the following as a minimum:

3.1.1. Name, mailing address, overnight delivery address (if different from mailing address), phone number, fax number, company website, and e-mail of designated point(s) of contact.

3.1.2. BUSINESS TYPE.

Based upon North American Industry Classification System (NAICS) code 541370 - Surveying and Mapping (except Geophysical) Service applicable to this acquisition, the responder is to provide answers to the following questions:

To be considered for a Small Business set-aside, at least 50 % of the cost of contract performance incurred for personnel shall be expended for employees of the responder.( FAR 52.219-14, Limitation of Subcontracting)

RESPONSE

Are you a Small Business? (FAR 19.102), If so, which type: ☐ YES ☐ NO

Small Disadvantaged small business? (FAR 19.304) ☐ YES ☐ NO

Service Disabled small business? (FAR 19.14) ☐ YES ☐ NO

8(a) Small Disadvantaged small business? (FAR 19.8) ☐ YES ☐ NO

HUBZone small business? (FAR 19.13) ☐ YES ☐ NO

Woman-Owned Small Business? (FAR 19.15) ☐ YES ☐ NO

Involved in a mentor and/or protégé program? (DFARS 219.71) ☐ YES ☐ NO

3.1.3 Recommendation for alternative NAICS Code? Provide rationale for any NAICS Code applicable to the planned acquisition other than the NAICS code identified above.

3.1.4 DUNS Number: _________________

3.1.5 Commercial and Government Entity (CAGE) Code: ______________________________ http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012 http://www.naics.com/naicsfiles/Size_Standards_Table2013.pdf http://www.acquisition.gov/far/current/html/Subpart%2019_1.html http://www.acquisition.gov/far/current/html/Subpart%2019_3.html http://www.acquisition.gov/far/current/html/Subpart%2019_14.html#wp1093836 http://www.acquisition.gov/far/current/html/Subpart%2019_8.html#wp1092796 http://www.acquisition.gov/far/current/html/Subpart%2019_13.html#wp1094801 http://www.acquisition.gov/far/current/html/Subpart%2019_15.html#wp1094868 http://www.acq.osd.mil/dpap/dars/dfars/html/current/219_71.htm

3.1.6 Defense facility security clearance? What type? What level? _______________________

3.1.7 Accounting system, if applicable? Date of last audit? Audit performed by? Determined adequate/inadequate? ___________________________________________________________

3.1.8 Purchasing system? Date determined adequate or inadequate? ______________________

3.1.9 Timekeeping system? Date of last audit? Who performed? Determined adequate/inadequate? ___________________________________________________________

3.1.10 Do you hold a GSA Federal Supply Schedule (FSS) contract applicable to the NAICS code (s) identified above? If yes, provide contract number(s). _____________________________

3.1.11 Are you registered in SAM? _________________________________________________

3.1.12 Are you interested in: Prime contract? Teaming to include Joint Venture? Subcontractor opportunities? _________________________________________________________________

3.1.13 Include additional details that are not already requested based on the constraints of the information request.

3.2 EXPERIENCE

3.2.1 COMMERCIAL.

Provide relevant details on the responder providing the same or similar services offered or made to the general public or to non-governmental entities for purposes other than governmental purposes in the last three (3) years. Relevant details to NGA’s proposed acquisition should include, but not be limited to, information regarding the contract value, size and length of the effort, responder performing as a prime or subcontractor, customary practices (warranty, financing, discounts, contract types, etc.) under which the sales of the service(s) are made, security details, the customary practices regarding customizing, modifying, or tailoring of a service(s) to meet customer needs and associated costs, the kinds of factors that are used to evaluate performance; the kinds of performance incentives used; the kinds of performance assessment methods commonly used; the common qualifications of the people performing the services; and requirements of law and/or regulations unique to these service(s), that can demonstrate the responder’s abilities and capacity to meet NGA’s statement of objectives.

3.2.2 GOVERNMENT.

Provide relevant details on the responder providing the same or similar services offered or made to Government agencies other than NGA in the last three (3) years. Relevant details to NGA’s proposed acquisition should include, but not be limited to contract value, information regarding the contract number, agency, responder performing as a prime or subcontractor, size and length of the effort, type of pricing and/or cost, security details, the kinds of factors used to evaluate performance; the kinds of performance incentives; the kinds of performance assessment methods; the qualifications of the people performing the services; and any unique terms and conditions, that can demonstrate the responder’s abilities and capacity to meet NGA’s statement of objectives.

3.2.3 NGA.

Provide relevant details on the responder providing the same or similar services offered or made to NGA in the last three (3) years. Relevant details to NGA’s proposed acquisition should include, but not be limited to contract value, information regarding the contract number, program name, size and length of the effort, responder performing as a prime or subcontractor, type of pricing and/or cost, security details, the kinds of factors used to evaluate performance; the kinds of performance incentives; the kinds of performance assessment methods; the qualifications of the people performing the services; and any unique terms and conditions, that can demonstrate the responder’s abilities and capacity to meet NGA’s statement of objectives.

3.3 CAPABILITIES

The following is the responder’s capabilities to meet the proposed acquisition set forth in section

2 of this RFI including the Statement of Objectives.

3.3.1 Government requirements needed to support the RFI statement of objectives

3.3.1.1 Requirement capabilities that the responder currently possesses. Responses should include the relevant information regarding specific skills, experience, and security clearances that its employees, by labor category, currently possess in performing these services, and any needed hardware or software.

3.3.1.2 Detail the service capabilities that the responder currently does not possess in order to meet the SOO.

3.3.2 Recommended type of pricing for this type of service (e.g. FFP, FPIF CPIF)

3.3.3 Extent to which the responder has the ability to meet the proposed acquisition

3.3.4 Notional schedule and type of plan for transition-in and transition-out (based on previous or similar work efforts).

3.3.5 Security capabilities and plans that demonstrate the ability to meet NGA’s security requirements beginning at contract award and throughout the POP.

3.3.6 Extent to which the responder is aware of any potential OCI issues in accordance with FAR

Part 9.5 or any non-mitigatable OCI related to current development work at NGA.

3.4 RECOMMENDATIONS

The responder is invited to provide information and recommendations for fashioning this proposed acquisition. Recommendation areas may include the type of contract, anticipated contract terms & conditions, incentives, variations in delivery schedule, price and/or cost proposal support, and data requirements, contract pricing, and any other areas that the responder believes is relevant for the Government to achieve its stated objectives. The responder may opine regarding what portion of the work could be set aside for small businesses if all the required work cannot be provided by a small business. Details to support any recommendations for partial small business set-asides should be included.

4.0 RESPONSES

4.1 Interested parties are directed to respond to this RFI with direct responses to each question outlined in the attached document as well as any relevant information about the company that is at an unclassified level.

4.2 Responses shall be in Microsoft Word for Office or compatible format and shall not exceed

15 pages total. A page is defined as each face of an 8 ½” x 11” sheet with information contained within a one-inch margin on all sides. Font type shall be Times Roman 12 point.

4.3 Interest parties are encouraged to utilize the comment Matrix format in their white paper when proving comments, questions, and/or suggestions to attached document.

4.4 Responses are due no later than 5:00 pm ET on 19 March 2026. Responses shall be limited to and submitted via e-mail only as a message attachment to Harry Lanfersieck at

Harry.L.Lanfersieck@nga.mil and Dee Hill at Delores.M.Hill@nga.mil with the message subject line “RFI Response – Foundation Digital Twin Automated Feature Extraction

4.5 Proprietary information, if any, should be minimized and MUST BE CLEARLY

MARKED. To aid the Government, please segregate proprietary information. Please be advised that all submissions become Government property and will not be returned.

5.0 MEETINGS AND DISCUSSIONS

The Government representatives may or may not choose to meet with potential RFI service provider. Such meetings and discussions would only be intended to get further clarification of potential capability, especially any development and certification risks.

6.0 QUESTIONS

Questions and the whitepaper regarding this RFI should be submitted in writing by e-mail to

Harry Lanfersieck at Harry.L.Lanfersieck@nga.mil and Dee Hill at Delores.M.Hill@nga.mil.

7.0 SUMMARY

This RFI is only intended for the Government to identify sources that can provide the services needed to fulfill the Government’s statement of objectives. 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.

mailto:Harry.L.Lanfersieck@nga.mil mailto:Delores.M.Hill@nga.mil mailto:Harry.L.Lanfersieck@nga.mil mailto:Delores.M.Hill@nga.mil

STATEMENT OF OBJECTIVES (SOO)

COMMENT MATRIX FOR THE FOUNDATION DIGITIAL TWIN AUTO FEATURE

EXTRACTION

REQUEST FOR INFORMATION

COMMENT

SOO PAGE

SOO

[SECTION

COMMENT/QUESTION/SUGGESTION

Attachment 1: Statement of Objective dated 30 Jan 2026

Attachment 2: Request for Information dated 19 Feb 2026

Attachment 3: Automated Feature Extraction RFI Objective Questions

Appendix A: NGA Data Strategy

Appendix B: NGA Software Way