RFI-424252.pdf

NCIA/ACQ/2026/07179

NCIA-ACQ-1.017(07.25)

NCIA Request for Information (RFI)

IMAGERY EXPLOITATION AND VISUALISATION TOOLS (IMINT)

RFI- 424252-IMINT

NCIA-ACQ-1.017(07.25)

NCIA/ACQ/2026/07179

Thursday, 21 May 2026

NCIA Request for Information (RFI) To: Industry Partners

Distribution List (see Annex D)

1. The NATO Communications and Information Agency (NCIA) is conducting market research to identify qualified vendors and gather input on potential solutions to support the upcoming acquisition of Imagery Exploitation and Visualisation Tools (IMINT). We hereby issue the attached Request for Information (RFI) RFI- 424252-IMINT to solicit inputs from capable and interested industry partners.

2. This RFI is issued for planning purposes only and is not a request for solicitation. It is part of NCIA’s effort to confirm available capabilities from industry.

3. We value your insight and invite you to:

a. Review Annex A and provide comments in the form of an Executive Summary (max 5 pages) on the key objectives and requirements defined in "Objectives" and "Solution Characteristics", indicating the extent to which current industry capability can meet what is defined, highlighting any gaps between what is required and what is technically or commercially deliverable today.

b. Provide your responses to the RFI questions in Annex B, available as an attachment to this RFI IMINT PDF document.

4. Only companies from a NATO member country can participate in or respond to this RFI (https://www.nato.int/cps/en/natohq/nato_countries.htm).

5. Should you have any questions or need clarification, please contact Tiago Brito, Senior Contracting Officer, at Tiago.Brito@ncia.nato.int

6. We thank you in advance for your time and input, and we look forward to engaging with you as we shape this potential acquisition.

7. Annexes:

• High-Level Summary of Requirements at Annex A

• RFI Vendor Response Template at Annex B (attachment RFI IMINT PDF document)

• Distribution List at Annex C

For the Chief of Acquisition:

Tiago Brito Senior Contracting Officer https://www.nato.int/cps/en/natohq/nato_countries.htm mailto:Tiago.Brito@ncia.nato.int

NCIA-ACQ-1.017(07.25)

Table of Contents

REQUEST FOR INFORMATION

A. Introduction B. Purpose C. Background D. Project Scope E. Submission Instructions F. Industry Engagement G. Disclaimer H. Use of Information Provided through Responses I. RFI Point of Contact Annex A – High-Level Summary of NATO Imagery Exploitation and Visualisation Tools

(IMINT)

1. This Document

2. Objectives

3. Solution Characteristics

Annex B – RFI Vendor Response Template

1. General Information

2. Questionnaire Standardised Response Overview

3. Questionnaire Responses

Annex C – Distribution List

NCIA-ACQ-1.017(07.25)

REQUEST FOR INFORMATION

A. Introduction

1. The NATO Communications and Information Agency (NCIA) is conducting market research to identify potential sources and gather information regarding industry capabilities, through eliciting industry views on the envisioned services for Imagery Exploitation and Visualisation Tools (IMINT) as outlined in Annex A to inform the project requirements.

B. Purpose

1. The purpose of this Request for Information (RFI) is to obtain input from industry to help inform the NCIA’s acquisition planning. Responses to this RFI will assist in refining requirements, identifying capabilities, and shaping the procurement strategy for a solicitation expected to be released in October 2026 timeframe.

2. This RFI is issued solely for informational purposes and does not constitute a solicitation of offers.

C. Background

1. NATO’s Joint Intelligence, Surveillance and Reconnaissance Centre (JISRC), in coordination with the NCIA is seeking to enhance and expand its IMINT capabilities.

The IMINT project aims to acquire modern, commercially available software solutions that support end-to-end Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of imagery and associated intelligence across a federated enterprise.

2. The objective is to strengthen and standardise user access across all NATO command levels through improved access to enterprise imagery sources, supported by a common and scalable set of tools and capabilities. These solutions should enable effective exploitation, collaboration, and decision-making, while increasing overall Processing, Exploitation, and Dissemination (PED) capacity.

3. NCIA is particularly interested in understanding how industry solutions leverage advances in data management, automated analytics, and AI-assisted IMINT exploitation. The aim is to empower imagery analysts across Allied Command Operations (ACO) to better satisfy the Commander’s Critical Information Requirements (CCIRs), maintain situational awareness of the battlespace, and support timely and accurate decision-making.

4. The envisaged capability should include robust imagery data management, advanced analytical tools, AI-enabled exploitation, and automated IMINT product generation and dissemination. Solutions must also ensure interoperability with existing NATO systems and frameworks, including Intelligence Federated Services (Intel-FS), Federated Mission Networking (FMN), Battlespace Objects (BSOs), and other relevant Core Services and Community of Interest (COI) systems.

5. A high-level summary of the IMINT capability objectives and key characteristics is provided in Annex A.

NCIA-ACQ-1.017(07.25)

D. Project Scope

1. Work Package 0 (WP0) – Project Management: The Contractor is expected to establish and maintain an effective project organisation to plan, coordinate, and oversee the delivery of all services and capabilities under this contract. Project management activities will be conducted in a controlled, structured, and transparent manner to ensure timely delivery and achievement of the required outcomes.

2. Work Package 1 (WP1) – Deployment of IMINT Software: This work package encompasses the design, integration, testing, accreditation, and deployment phases, carried out iteratively until both PSA and FSA are achieved. Work package 1 is split into three increments:

a. WP1.1 (PSA) – Increment 1 will deploy the COTS IMINT software to a designated subset of sites establishing the initial software baseline and achieving PSA 1.

b. WP1.2 (PSA continued) – Increment 2 will deploy the COTS IMINT software to a designated subset of sites, implementing an updated software baseline and achieving PSA 2.

c. WP1.3 (FSA) – Increment 3 will deploy the COTS IMINT software to a remaining set of sites, implementing the final software baseline and achieving

FSA.

3. Work Package 2 (WP2) - Training: This work package covers all training and knowledge transfer activities required to support the project lifecycle through to FSA.

It includes contractor support to integration activities with technical knowledge transfer to NCIA SMEs, development of training materials, and delivery of training courses and associated documentation. Activities are conducted iteratively in alignment with the deployment increments defined in WP1. WP2 is divided into two increments:

a. WP2.1 - Training Development: The vendor shall support the analysis, design, and development of training artefacts, including iterative updates to the Training Needs Analysis (TNA), preparation and maintenance of training materials and documentation, and delivery of train-the-trainer, user, and

NCIA-ACQ-1.017(07.25)

administrator training sessions to enable the NCI Academy to conduct training activities. All deliverables shall be aligned with WP1.1 to WP1.3.

b. WP2.2 - Training Delivery: The vendor shall support training delivery activities in coordination with the NCI Academy, including provision of technical support, subject matter expertise, and incorporation of feedback to iteratively refine training materials and approach across WP1.1 to WP1.3 through to FSA.

4. Work Package 3 (WP3) – Operations & Maintenance: The IMINT project encompasses a hybrid model that includes NATO-owned, contractor-owned, NATO-operated, and contractor-operated components. For Work Package 1, the underlying software code remains contractor-owned. The support and maintenance structure is tiered: Level 3 support combines partial onsite assistance with vendor support, while Level 4 support is handled exclusively by the vendor.

5. Work Package 4 (WP4) – Interoperability Adaptations: During deployment of the vendor-provided IMINT software detailed in WP1, significant integration effort is expected, and mediation services will be required to ensure interoperability with NATO CORE, COI services, and existing capabilities. This work package also delivers the SOM functionality services, ensuring standardized, interoperable data exchange between SOM-producing entities using COTS technologies and open international standards. Finally, the IMINT COTS must be interoperable with the technical specifications of the workstation hardware, hosting services, and peripherals required to support project delivery through to FOC

E. Submission Instructions

1. Interested parties are invited to respond in accordance with the instructions below:

a. Submit responses to Tiago.Brito@ncia.nato.int no later than 17:00 hours

Central European Time (CET) on 08 June 2026

b. Responses must include the following documents:

i. Comments to Annex A in the form of an Executive Summary (maximum 5 pages in PDF or Word format);

ii. Responses to the RFI questions in Annex B (Excel format).

c. Use the following subject line for submission

i. “Response to RFI-424252-IMINT] – [Company Name]”

F. Industry Engagement

1. Following the review of RFI responses, selected vendors may be invited to participate in scenario-based demonstrations aligned to pre-defined operational scenarios. These demonstrations will support the assessment of market maturity and capability alignment. For planning purposes, scenario-based demonstrations are expected to take place in the w/c 6 July 2026.

2. Given project team constraints, should the number of vendor responses be too large, thus preventing an efficient execution of the demonstrations, the NCIA reserves the right to limit the number of participants in the demonstration. In this case, selection will be based on the degree of capability coverage demonstrated in the RFI response, NCIA-ACQ-1.017(07.25) together with an assessment of solution maturity, innovation, differentiation, and overall strategic fit.

3. Participation or non-participation in the RFI process, including the demonstration stage, will not exclude or disadvantage any organisation from participating in any subsequent Invitation for Bid (IFB) process.

4. Should the approach change, further information on additional RFIs will be published through the NCIA Current Opportunities page and distributed via National Delegations, NATEXs, and Embassies.

G. Disclaimer

1. This RFI is for planning and informational purposes only and shall not be construed as a solicitation or obligation on the part of the NCIA. The NCIA does not intend to award a contract based on responses to this RFI. Respondents are solely responsible for all costs incurred in responding to this RFI. The NCIA will consider and analyse all information received from this RFI and may use these findings to develop the future solicitation. The NCIA will consider all responses as confidential commercial information and will protect it as such.

2. NCIA reserves the right, at any time, to cancel this informal market survey, partially or in its entirety. No legal liability on the part of NCIA for payment of any sort shall arise and in no event will a cause of action lie with any prospective participant for the recovery of any costs incurred in connection with the preparation of documentation or participation in response hereto. All effort initiated or undertaken by prospective informal market survey participants shall be done considering and accepting this fact.

3. Non-participation in this market survey will not preclude, prejudice, or otherwise affect any vendor’s eligibility to participate in any future IFB. Likewise, participation in the RFI does not guarantee inclusion in, or confer any advantage in, any subsequent solicitation or contract award process.

H. Use of Information Provided through Responses

1. Confidentiality of Responses: The NCIA may incorporate industry comments and responses, in part or in whole, into a future release of a solicitation. Should respondents include proprietary data in their responses that they do not wish to be disclosed to the public for any purpose, or used by NCIA (except for internal evaluation purposes), they must:

a. Mark the title page with the following legend: This document includes data that shall not be disclosed outside NATO and shall not be duplicated, used, or disclosed – in whole or in part – for any purpose other than for NCIA internal evaluation purposes, unless otherwise expressly authorised by [insert company name]. This restriction does not limit the NCIA’s right to use information contained in this data without restriction if it is obtained from another source. The data subject to this restriction are contained in sheets [insert numbers or other identification of sheets]

NCIA-ACQ-1.017(07.25)

b. Mark each sheet of data it wishes to restrict with the following legend:

Use or disclosure of data contained on this sheet is subject to the restriction on the title page of this document.

I. RFI Point of Contact

1. Tiago Brito – Senior Contracting Officer

2. Tiago.Brito@ncia.nato.int

NCIA-ACQ-1.017(07.25)

Annex A – High-Level Summary of NATO Imagery Exploitation and Visualisation Tools (IMINT)

1. This Document Annex A describes the high-level objectives of the future IMINT capability. Its purpose is to provide industry with a description of the problem space, and a set of target objectives aligned with operational, doctrinal, architectural and capability context. Annex A is a descriptive companion to the Annex B, against which Industry are invited to respond to in the issued Annex B vendor response template, which is the structured industry return.

2. Objectives The core objectives of the IMINT capability are to modernize NATO’s intelligence production by shifting from manual translation to a scalable, automated, and federated digital environment.

NCIA aims to leverage modern developments in data management, automated analytics, and AI-assisted IMINT exploitation empower imagery analysts across ACO to satisfy the Commander’s Critical Information Requirements and ultimately, maintain situational awareness of the battlespace to allow rapid and accurate decision-making.

The required solution must serve as the primary software environment for translating raw raster data (predominantly overhead imagery) into actionable intelligence. The capability must bridge the gap between traditional human-led analysis and emerging machine-assisted workflows.

Capabilities are expected to address four key objectives as follow:

1. The primary objective is to provide analysts with a comprehensive software suite that covers the entire Task, Collect, Process, Exploit, and Disseminate (TCPED) cycle.1

a. For Individuals: Seamless tools for digital image processing and exploitation.

b. For Teams: A robust framework for Federated PED (FEDPED), ensuring distributed teams can collaborate effectively.

c. Methodology: Integration of Structured Observation Management (SOM) and

Activity-Based Intelligence (ABI) to turn raw imagery into fused, actionable intelligence.

2. The capability must move beyond human-only analysis and leverage modern machine assisted analysis, and must manage the "data deluge" of increasing imagery volumes,

a. Automation: Support for scripting and customizable workflows to reduce manual overhead.

b. AI/ML Integration: An open architecture that allows the on-boarding of third-party analytical models and automated object detection.

c. Flexibility: The ability to adapt to new sensor systems and bespoke analytical technologies as they emerge.

1 In this context, Collect relates to the collation of all imagery data available and not the deployment of a sensor to image a location/target area or object.

3. The capability must function as an integrated node within the wider NATO technical ecosystem.

a. Data/system Interoperability: It must use established NATO protocols to ingest raw data and publish finished intelligence products.

b. Adaptability: Alignment with NATO’s existing processing and dissemination tiers to ensure data flows smoothly across the enterprise.

c. Security: Must meet stringent NATO security standards for multi-domain data handling.

d. Architecture and Extensibility: Open architecture to allow for the integration of third-party analytical modules and niche technologies.

4. NATO aims to optimize its financial and human resource investments through a streamlined acquisition model.

a. Contractual Consolidation: Using a primary contract for the core analyst interface to minimize fragmentation and custom development.

b. Scalability: Capability to manage increasing data volumes without a linear increase in human cost.

c. Future-Proofing: Balancing the use of "off-the-shelf" core components with the flexibility to integrate specialized, high-end analytical tools.

3. Solution Characteristics The NCIA is interested in an end-to-end software suite that supports the following core functional areas related to data ingest and management, visualization and exploitation, and to automate IMINT TCPED process to the maximum extent possible.

3.1 Processing and Data Management

1. Multi-Source data Integration and fusion: Native support for diverse imaging modalities, including:

a. Panchromatic, Multispectral, and Hyperspectral.

b. Synthetic Aperture Radar (SAR).

c. Time-series imagery data, Full Motion Video (FMV) and Moving Target

Indicators (MTI).

2. Search & Discovery: High-performance cataloguing and retrieval tools to navigate massive imagery repositories.

3. Ingest Pipelines: Ability to trigger automated processes (e.g. orthorectification, tiling) upon image ingest.

3.2 Exploitation and Visualization

1. Traditional Image Processing: Tools for spectral band manipulation, contrast stretching, and rotation.

2. Comparative Analysis: Visual aids such as swipe, flicker, and spyglass tools.

3. Structured Observation Management (SOM): A robust framework for identifying and categorizing objects of interest according to standardized schemas and attributes.

3.3 Advanced Analytics and AI/ML

1. Computer Vision Integration: Ability to run internal and third-party Object Detection, Identification, and Classification models.

2. Deployment Flexibility: Support for model execution both at the "Processing" stage (ingest) and the "Exploitation" stage (on-demand by the analyst).

3. Training Feedback Loops: Mechanisms to capture analyst feedback on model performance to support future model refinement.

4. Activity-based Intelligence (ABI): analytical tools to establish “Pattern of Life” baselines and highlight anomalies over extended timelines.

3.4 Federated PED (FEDPED) & Workflow Orchestration

The solution must support both ad hoc individual analysis and complex, recursive workflows across distributed teams. This distributed analytical model, referred to throughout as Federated Processing, Exploitation and Dissemination (FEDPED), requires demonstrable workflow orchestration across NATO, national, deployed, reach-back, and coalition nodes:

1. Workload Distribution: Rule-based routing of imagery and tasks to specific PED nodes based on geography, modality expertise, or target specialization.

2. Collaborative SOM: A centralized, multi-user SOM database capable of simultaneous edits and synchronization across diverse network locations.

3. Enterprise Integration: Seamless dissemination of finished intelligence products into existing NATO Intelligence Enterprise tools.

NCIA-ACQ-1.017(07.25)

Annex B – RFI Vendor Response Template

1. General Information This document provides a structured industry response template for the NATO IMINT Capability RFI, and is intended to elicit consistent, comparable capability information across responding vendors. See file NU_RFI-424252-IMINT-Annex-B-QRT xlsx. This file is available as an attachment to this RFI IMINT PDF document.

2. Questionnaire Standardised Response Overview The questionnaire is organised into 19 groups of questions (numbered as questions 1.x through 19.x). Each question follows a standardised response structure comprising up to six response elements. Vendors are kindly requested to answer each response field for every question, even where the answer is N/A.

3. Questionnaire Responses Please respond to the questions directly in the file NU_RFI-424252-IMINT-Annex-B- QRT.xlsx.

NCIA-ACQ-1.017(07.25)

Annex C – Distribution List

1. NATO Delegation (Attn: Investment Adviser)

1. Albania 12. Greece 23. Poland

2. Belgium 13. Hungary 24. Portugal

3. Bulgaria 14. Iceland 25. Romania

4. Canada 15. Italy 26. Slovakia

5. Croatia 16. Latvia 27. Slovenia

6. Czechia 17. Lithuania 28. Spain

7. Denmark 18. Luxembourg 29. Sweden

8. Estonia 19. Montenegro 30. Türkiye

9. Finland 20. Netherlands 31. United Kingdom

10. France 21. North Macedonia 32. United States

11. Germany 22. Norway

2. All NATEXs

Annex C – Distribution List

COVER-1

NATO UNCLASSIFIED

NATO IMINT Visualization and Exploitation Capability

RFI-424252-IMINT-Annex B — Vendor Questionnaire Response Template

Disclaimer: This document does not constitute a solicitation, an invitation for bid, or a commitment by NATO to procure goods or services. Information provided in response to this questionnaire will inform subsequent Procurement Invitation for Bid (IFB).

Questionnaire Overview: The questionnaire is organised into 19 categorized groups of questions (1 through 19) mapped to the capability domains. Vendors should answer every response field for every question, even where the answer is N/A.

Standardised Response Structure Every fielding question uses up to a six-part standardised response structure to questions. All listed fields should be completed. See "How to use this workbook below."

VENDOR IDENTIFICATION

Vendor Legal Name Click to enter Vendor legal name

Date of Submission Click to enter submission date DD/MM/YYYY

Handling Caveat e.g. "None", "Commercial-in-Confidence", "Company Proprietary"

HOW TO USE THIS WORKBOOK

RESPONSES tab Complete ALL questions. Use dropdowns for structured fields. Free-text fields accept any input but contain a max word count where specified.

R1 – Supported Select: YES – Fully Supported / PARTIALLY Supported / NO – Not Supported.

R1 Detail (if PARTIAL/NO) – max 250 words

R2 – Implementation Select: NATIVE / INTEGRATED (3rd-Party) / N/A. If INTEGRATED, complete detail field.

R2 Detail – 3rd-party components – max 100 words

R3 – Roadmap If R1 is PARTIAL or NO, select: ON ROADMAP / UNDER EVALUATION / NOT ON ROADMAP / N/A R3 Detail – VERSION / RELEASE / DEPS – max 100 words

R4 – Standards Enter applicable standards: STANAGs, MIL-STD, ISO, OGC, MISP, NIST, with specified version(s)

R5 – Evidence Cite URL or document title, version, section/page, or controlled identifier

R6 – Demonstrability Select: DEMONSTRATABLE / NOT DEMONSTRATABLE

⚠ REQUEST FOR INFORMATION — NOT A SOLICITATION

NATO UNCLASSIFIED

NATO UNCLASSIFIED

NATO UNCLASSIFIED

RESPONSES

NATO UNCLASSIFIED | RFI-424252-IMINT-Annex B — Vendor Quesionnaire Response Template

Formula

Domain 1 Data Formats / NATO Interoperability & Standards (17 questions)

Q-1-01 1 Data Formats / NATO Interoperability & Standards Does the solution ingest, exploit and manage imagery from satellite EO, IR and SAR sensors, manned ISR aircraft, UAS platforms, tactical reconnaissance pods, FMV sensors, multi-spectral and hyperspectral systems, and commercial imagery providers? 0% ⬜ Not Started

Q-1-02 1 Data Formats / NATO Interoperability & Standards Does the solution support (e.g. Read, visualize, write and convert) industry standard imagery formats including, but not limited to, GeoTIFF, NITF, NSIF, MrSID, ECW, JPG, JPEG2000, Lidar, COG, NetCDF, ADRG/CADRG, LAS, BMP, CRF, CIB, DTED, GIF, GRIB, PNG? 0% ⬜ Not Started

Q-1-03 1 Data Formats / NATO Interoperability & Standards Does the solution support (e.g. Read, visualize, write and convert) industry standard vector data formats including, but not limited to Shapefiles, KML/KMZ, GeoJSON, GML, GPX, MapInfo Tab, VPF, Esri geodatabases.? 0% ⬜ Not Started

Q-1-04 1 Data Formats / NATO Interoperability & Standards Does the solution support (e.g. Read, visualize, write and convert) industry standard elevation and 3D data formats including, but not limited to, DEM, DSM, Lidar Point cloud (LAS) data, DTED and TIN? 0% ⬜ Not Started

Q-1-05 1 Data Formats / NATO Interoperability & Standards Does the solution natively read, write and exchange NATO STANAG-compliant imagery formats and metadata standards (e.g. STANAG 4545 NSIF / NITF, and STANAG 7023) including support for relevant profiles and extension protocols? 0% ⬜ Not Started

Q-1-06 1 Data Formats / NATO Interoperability & Standards Does the solution natively handle motion imagery and metadata in STANAG 4609 (MISB / MISP-compliant)? 0% ⬜ Not Started

Q-1-07 1 Data Formats / NATO Interoperability & Standards Does the solution natively ingest, process, display, exploit and explort GMTI data per STANAG 4607? 0% ⬜ Not Started

Q-1-08 1 Data Formats / NATO Interoperability & Standards Does the solution natively support motion imagery tracking metadata per STANAG 4676? 0% ⬜ Not Started

Q-1-09 1 Data Formats / NATO Interoperability & Standards Does the solution implement STANAG 4559, AEDP-17 ISR Product Library (NIRIS / NSILI) for search, discovery and retrieve, as service consumer? 0% ⬜ Not Started

Q-1-10 1 Data Formats / NATO Interoperability & Standards Does the solution implement STANAG 4559, AEDP-17 ISR Product Library (NIRIS / NSILI) for data upload as a service publisher? 0% ⬜ Not Started

Q-1-11 1 Data Formats / NATO Interoperability & Standards Does the solution support data search and discovery in STANAG 4559, AEDP-18 ISR Streaming Services? 0% ⬜ Not Started

Q-1-12 1 Data Formats / NATO Interoperability & Standards Does the solution support data labelling and binding of classification and provenance metadata in accordance with appropriate standards (e.g. STANAG 4774 for security and confidentiality labelling, STANAG 4778 for securely binding to data, and STANAG 5363 The NATO Core Metadata Specification)? 0% ⬜ Not Started

Q-1-13 1 Data Formats / NATO Interoperability & Standards Does the solution operate natively in WGS84, MGRS and UTM reference frameworks, including conversion services with National System for Geospatial-Intelligence (NSG) and NATO Geospatial Board (NGB)-aligned geospatial services? 0% ⬜ Not Started

Q-1-14 1 Data Formats / NATO Interoperability & Standards Does the solution support MIL-STD-2525D and 2525E, and APP-6C for common warfighting symbology in maps, briefings and finished products? 0% ⬜ Not Started

Q-1-15 1 Data Formats / NATO Interoperability & Standards Does the solution support OGC / OGC API standards (consume and serve) (e.g. WMS, WMTS, WFS, WCS, CSW, GeoPackage)? 0% ⬜ Not Started

Q-1-16 1 Data Formats / NATO Interoperability & Standards Does the solution support procedural interoperability per AJP-2.7 (JISR doctrine) and AIntP-21 (Allied Intelligence Publication for IMINT), including shared workflows, common terminology and harmonised reporting formats? 0% ⬜ Not Started

Q-1-17 1 Data Formats / NATO Interoperability & Standards Does the solution support additional doctrinal, NATO or industry standards that the solution implements (e.g. STANAG 6510 AIntP-14, STANAG 6524 AIntP-16, ISO/IEC, NIST, OGC API Records, Features) . 0% ⬜ Not Started

Domain 2 Enterprise Data Management & Discovery (10 questions)

Q-2-01 2 Enterprise Data Management & Discovery Does the solution support data management, cataloguing, and indexing enterprise-scale data repositories from local/network/cloud repositories? 0% ⬜ Not Started

Q-2-02 2 Enterprise Data Management & Discovery Does the solution support rapid indexing and retrieval of imagery? 0% ⬜ Not Started

Q-2-03 2 Enterprise Data Management & Discovery Does the solution support visualisation of petabyte-scale imagery/data archives? 0% ⬜ Not Started

Q-2-04 2 Enterprise Data Management & Discovery Does the solution support federated search across data/storage repositories? 0% ⬜ Not Started

Q-2-05 2 Enterprise Data Management & Discovery Does the solution support data lifecycle management including ingest, curation, release, archival and disposal, and with auditable evidence of each step? 0% ⬜ Not Started

Q-2-06 2 Enterprise Data Management & Discovery Does the solution support spatial, temporal, semantic, faceted and relationship-based search modes, with results presented in role-appropriate views? 0% ⬜ Not Started

Q-2-07 2 Enterprise Data Management & Discovery Does the solution provide metadata/attribute, spatial and time-based search and filtering capabilities for data search? 0% ⬜ Not Started

Q-2-08 2 Enterprise Data Management & Discovery Does the solution support analyst-defined saved searches, watch lists and alerting (e.g. notify on new collection within a defined AOI or matching a defined pattern)? 0% ⬜ Not Started

Q-2-09 2 Enterprise Data Management & Discovery Does the solution expose data services and search via documented APIs to enable integration with other NATO and enterprise services? 0% ⬜ Not Started

Q-2-10 2 Enterprise Data Management & Discovery Does the solution support policy-driven tiering, retention and disposition/archival for imagery and other data, or derived products? 0% ⬜ Not Started

Domain 3 Geospatial Analysis (11 questions)

Q-3-01 3 Geospatial Analysis Does the solution support display filtering based on metadata/attribute, spatial and time-based search and filtering? 0% ⬜ Not Started

Q-3-02 3 Geospatial Analysis Does the solution support the management, cataloguing and indexing diverse geospatial datasets (e.g.?) from local and network file/storage locations 0% ⬜ Not Started

Q-3-03 3 Geospatial Analysis Does the solution support manual and automated image enhancement, including, but not limited to: swipe, flicker, brightness, contrast, colour and contrast balance, gamma, saturation, sharpness, change detection, "porthole", two colour multi-view (2CMV) with EO, IR & SAR. 0% ⬜ Not Started

Q-3-04 3 Geospatial Analysis Does the solution provide terrain and elevation model analysis and visualization? 0% ⬜ Not Started

Q-3-05 3 Geospatial Analysis Does the solution support mensuration tools for distance, angle, area, and height calculations? 0% ⬜ Not Started

Q-3-06 3 Geospatial Analysis Does the solution enable automated and manual change detection? 0% ⬜ Not Started

Q-3-07 3 Geospatial Analysis Does the solution support visualisation of tracks, routes, and target movement history? 0% ⬜ Not Started

Q-3-08 3 Geospatial Analysis Does the solution support visualisation of analytical outputs in map, table and linked graph views? 0% ⬜ Not Started

Q-3-09 3 Geospatial Analysis Does the solution allow correlation of imagery with SIGINT, GEOINT, and OSINT data? 0% ⬜ Not Started

Q-3-10 3 Geospatial Analysis Does the solution support correlation services across observation, object and product layers (i.e. find related items across SOM, OBP and finished products)? 0% ⬜ Not Started

Q-3-11 3 Geospatial Analysis Does the solution provide heatmaps and threat-density overlays? 0% ⬜ Not Started

Domain 4 Data Visualization (11 questions)

Q-4-01 4 Data Visualization Does the solution natively display still imagery, motion imagery, SAR, infrared, hyperspectral, and multispectral data? 0% ⬜ Not Started

Q-4-02 4 Data Visualization Does the solution provide synchronised multi-pane viewing for comparative analysis? 0% ⬜ Not Started

Q-4-03 4 Data Visualization Does the solution enable pan, zoom, rotate, and dynamic contrast/brightness adjustment with low latency? 0% ⬜ Not Started

Q-4-04 4 Data Visualization Does the solution support 2D, 2.5D, and 3D terrain-aware visualisation modes? 0% ⬜ Not Started

Q-4-05 4 Data Visualization Does the solution allow temporal visualisation (“time slider”) for change detection and historical comparison? 0% ⬜ Not Started

Q-4-06 4 Data Visualization Does the solution provide geospatially accurate rendering using standard map projections and coordinate systems? 0% ⬜ Not Started

Q-4-07 4 Data Visualization Does the solution support visualisation of full-motion video (FMV) with frame-by-frame review capability? 0% ⬜ Not Started

Q-4-08 4 Data Visualization Does the solution enable overlay of intelligence annotations, tactical graphics, and operational layers? 0% ⬜ Not Started

Q-4-09 4 Data Visualization Does the solution support map coordinates on hover-over, mouse-click, and copy and paste coordinate formats (e.g. DMS, DD, and MGRS). 0% ⬜ Not Started

Q-4-10 4 Data Visualization Does the solution support setting a default coordinate format and converting between between formats (e.g. DMS, DD, MGRS). 0% ⬜ Not Started

Q-4-11 4 Data Visualization Does the solution provide automatic image enhancement options (sharpening, de-noising, atmospheric correction)? 0% ⬜ Not Started

Domain 5 IMIINT TCPED and Workflow Automation (12 Questions)

Q-5-01 5 IMIINT TCPED and Workflow Automation Does the solution support the full TCPED+ lifecycle (Tasking, Collection, Processing, Exploitation, Dissemination), as a single, integrated workflow? Describe how the workflow aligns to AJP-2.7 (JISR doctrine)? Describe how the solution enahances and/or automtes the TCPED process and cycle. 0% ⬜ Not Started

Q-5-02 5 IMIINT TCPED and Workflow Automation Does the solution support STANAG 4545 NITF/NSIF imagery specific (EO/IR/SAR) exploitation workflows including amplitude, phase, polarimetric, interferometric (InSAR) and Coherent Change Detection (CCD)products? 0% ⬜ Not Started

Q-5-03 5 IMIINT TCPED and Workflow Automation Does the solution support full motion video (FMV) exploitation (STANAG 4609), including frame extraction, motion imagery markup, MISB-compliant metadata handling and integration with tracker outputs? 0% ⬜ Not Started

Q-5-04 5 IMIINT TCPED and Workflow Automation Does the solution support Level 1 exploitation activities including image quality and usability assessment, NIIRS estimation, metadata extraction and validation, and time-sensitive screening for indications and warning? 0% ⬜ Not Started

Q-5-05 5 IMIINT TCPED and Workflow Automation Does the solution support Level 2 exploitation activities including precise mensuration, geolocation accuracy assessment, object characterisation against recognition catalogues/ontologies (AIntp-3 functional descriptions), SOM feature extraction and geospatial attribution to MGRS, UTM and WGS84? 0% ⬜ Not Started

Q-5-06 5 IMIINT TCPED and Workflow Automation Does the solution support Level 3 exploitation activities including cross-INT fusion (GEOINT, SIGINT, HUMINT, MASINT, OSINT), pattern-of-life analysis, ABI assessments and production of finished intelligence reports compliant with AINTP-21? 0% ⬜ Not Started

Q-5-07 5 IMIINT TCPED and Workflow Automation Does the solution able to streamline or automate the creation of IMIINT finished intelligence Prodcuts for level 1, 2 and 3? 0% ⬜ Not Started

Q-5-08 5 IMIINT TCPED and Workflow Automation Does the solution preserve continuity between exploitation levels through persistent observations, evidence chains and analyst-to-analyst handoffs operating over a single underlying data model? 0% ⬜ Not Started

Q-5-09 5 IMIINT TCPED and Workflow Automation Does the solution provide an audit trail and traceability across the TCPED+ lifecycle, including analyst identity, source platform, time of action and analytical conclusions, in a detectiable tamper-evident manner? 0% ⬜ Not Started

Q-5-10 5 IMIINT TCPED and Workflow Automation Does the solution support automated and analyst-driven tasking workflows, including collection requirement generation, prioritisation, asset allocation and feedback to collection managers? 0% ⬜ Not Started

Q-5-11 5 IMIINT TCPED and Workflow Automation Does the solution provide tooling for analyst quality assurance and supervisor adjudication of exploitation products prior to dissemination? 0% ⬜ Not Started

Q-5-12 5 IMIINT TCPED and Workflow Automation Does the solution support production of NATO IMINT reporting formats with controlled vocabulary and STANAG-compliant outputs? Examples include:

1. Initial Phase Interpretation Report (IPIR)

2. Supplemental Photographic Interpretation Report (SUPIR)

3. Reconnaissance Exploitation Report (RECCEXREP)

4. Moving Target Indicator Exploitation Report (MTIEXREP)

5. Motion Imagery Exploitation Report (MIEXREP) 0% ⬜ Not Started

Domain 6 Structured Observation Management (SOM) (10 questions)

Q-6-01 6 Structured Observation Management (SOM) Does the solution implement Structured Observation Management as a primary, persistent intelligence data layer (not just as records from imagery exploitation tools)? 0% ⬜ Not Started

Q-6-02 6 Structured Observation Management (SOM) Does the solution support creation of structured observations for objects, events, activities, facilities, equipment, behavioural indicators and geospatial relationships? 0% ⬜ Not Started

Q-6-03 6 Structured Observation Management (SOM) Are observation attributes drawn from a controlled ontology, and can the ontology be extended for mission-specific use cases.? 0% ⬜ Not Started

Q-6-04 6 Structured Observation Management (SOM) Is each observation bound to the source imagery, sensor, collection geometry and the analyst responsible for its creation, with that binding preserved across federation? 0% ⬜ Not Started

Q-6-05 6 Structured Observation Management (SOM) Do observations carry STANAG 4774 confidentiality metadata and is that metadata cryptographically bound to the observation through STANAG 4778? 0% ⬜ Not Started

Q-6-06 6 Structured Observation Management (SOM) Do observations persist across missions, analysts and PED nodes, and are they reusable in ABI, OBP and target development workflows without re-creation? 0% ⬜ Not Started

Q-6-07 6 Structured Observation Management (SOM) Does the solution support observation versioning, supersession, decay and confidence evolution so that the intelligence picture evolves with new evidence rather than overwriting prior evidence? 0% ⬜ Not Started

Q-6-08 6 Structured Observation Management (SOM) Does the solution expose SOM data via documented APIs for integration, management, automation and federation? 0% ⬜ Not Started

Q-6-09 6 Structured Observation Management (SOM) Does the solution support spatial, temporal, semantic and relationship-based search across the SOM data sources at enterprise scale? 0% ⬜ Not Started

Q-6-10 6 Structured Observation Management (SOM) Does the solution support release-controlled dissemination of SOM holdings (selective release by classification, caveat, mission and audience)? 0% ⬜ Not Started

Domain 7 Object-Based Production (OBP) (8 questions)

Q-7-01 7 Object-Based Production (OBP) Does the solution implement Object-Based Production with unique, persistent identifiers for objects across missions, analysts and PED nodes? 0% ⬜ Not Started

Q-7-02 7 Object-Based Production (OBP) Does the solution support binding or linking of new observations to existing objects, including merge, split and disambiguation workflows under analyst control? 0% ⬜ Not Started

Q-7-03 7 Object-Based Production (OBP) Does the solution maintain the full observation history and imagery evidence chain for each object, browsable in time order? 0% ⬜ Not Started

Q-7-04 7 Object-Based Production (OBP) Does the solution capture relationships between objects (e.g. command, deployment, co-location, ownership), and surface those relationships in analytical views? 0% ⬜ Not Started

Q-7-05 7 Object-Based Production (OBP) Does the solution maintain per-attribute confidence and source provenance on every object, with the ability to filter intelligence views by confidence threshold? 0% ⬜ Not Started

Q-7-06 7 Object-Based Production (OBP) Does the solution support federated OBP — sharing, syncing and de-conflicting object holdings across federation members — with provenance preserved? 0% ⬜ Not Started

Q-7-07 7 Object-Based Production (OBP) Does the solution support import and export of OBP data via documented schemas aligned to NATO and Allied intelligence data models? 0% ⬜ Not Started

Q-7-08 7 Object-Based Production (OBP) Does the solution support target development workflows (e.g. JIPOE-aligned target folders) built directly on OBP entities? 0% ⬜ Not Started

Domain 8 Activity-Based Intelligence (ABI) (9 questions)

Q-8-01 8 Activity-Based Intelligence (ABI) Does the solution support Activity-Based Intelligence workflows operating directly over the SOM and OBP data sources (not as a separate detached analytic environment)? 0% ⬜ Not Started

Q-8-02 8 Activity-Based Intelligence (ABI) Does the solution detect recurring patterns of life across persistent observation areas, including temporal pattern characterisation and pattern-deviation alerting? 0% ⬜ Not Started

Q-8-03 8 Activity-Based Intelligence (ABI) Does the solution identify suspicious or anomalous behaviour indicative of operational intent and present analyst-actionable cues? 0% ⬜ Not Started

Q-8-04 8 Activity-Based Intelligence (ABI) Does the solution monitor infrastructure activity, including ports, airfields, logistics nodes and military installations, with structured outputs feeding into SOM/OBP? 0% ⬜ Not Started

Q-8-05 8 Activity-Based Intelligence (ABI) Does the solution track force dispositions and movements over time, with confidence scoring and multi-source corroboration? 0% ⬜ Not Started

Q-8-06 8 Activity-Based Intelligence (ABI) Does the solution support analysis of operational rhythm, dwell time and activity cycles with visualisations suitable for briefing-grade output? 0% ⬜ Not Started

Q-8-07 8 Activity-Based Intelligence (ABI) Does the solution correlate activities across sensors, modalities and intelligence disciplines (GEOINT, SIGINT, HUMINT, MASINT, OSINT)? 0% ⬜ Not Started

Q-8-08 8 Activity-Based Intelligence (ABI) Does the solution scale ABI analytics to enterprise data volumes (multi-year, multi-theatre persistent collection) without manual analytic re-architecture? 0% ⬜ Not Started

Q-8-09 8 Activity-Based Intelligence (ABI) Does the solution support ABI-driven cueing to other ISR collection assets (recommendation of new collection based on detected activity)? 0% ⬜ Not Started

Domain 9 Federated PED (10 Questions)

Q-9-01 9 Federated PED Does the solution support federated operation across geographically distributed PED nodes operating in different nations, commands and classification environments, by design? 0% ⬜ Not Started

Q-9-02 9 Federated PED Does the solution support distributed Structured Observation Management (SOM) exchange between federated nodes, with classification handling, identity assurance and provenance preserved end-to-end? 0% ⬜ Not Started

Q-9-03 9 Federated PED Does the solution expose STANAG 4559 (IPL / NSILI) compliant discovery and retrieval services for federated holdings? 0% ⬜ Not Started

Q-9-04 9 Federated PED Does the solution support federated search across multiple nodes without requiring data centralisation, including spatial, temporal, semantic and faceted query types? 0% ⬜ Not Started

Q-9-05 9 Federated PED Does the solution support controlled product synchronisation and replication across federation members, with caveat and release control preserved? 0% ⬜ Not Started

Q-9-06 9 Federated PED Does the solution support multi-analyst, multi-site collaborative exploitation sessions with co-annotation, role-based access control and conflict resolution? 0% ⬜ Not Started

Q-9-07 9 Federated PED Does the solution support cross-site workflow orchestration including task assignment, status tracking and reach-back coordination aligned to JISR doctrine? 0% ⬜ Not Started

Q-9-08 9 Federated PED Does the solution operate in disconnected, intermittent and low-bandwidth (DIL) environments and re-synchronise predictably upon reconnection? 0% ⬜ Not Started

Q-9-09 9 Federated PED does the solution support receive, edit, update workflow status and link data products to ISR collection and exploitation tasks? 0% ⬜ Not Started

Q-9-10 9 Federated PED Does the solution preserve data consistency, observation provenance and mission continuity across all federation states, including partition and re-join scenarios? 0% ⬜ Not Started

Domain 10 AI/ML-Enabled Exploitation and Automation (14 questions)

Q-10-01 10 AI/ML-Enabled Exploitation and Automation Does the solution provide AI- or ML-enabled automated object detection, classification and identification across EO, IR and SAR modalities? 0% ⬜ Not Started

Q-10-02 10 AI/ML-Enabled Exploitation and Automation Does the solution include vehicle, vessel and aircraft recognition models referencing approved equipment libraries (e.g. WEAPONS, MIDB, or other equivalent)? 0% ⬜ Not Started

Q-10-03 10 AI/ML-Enabled Exploitation and Automation Does the solution support Coherent and Continuous Change Detection (CCD) between revisits, including SAR coherence-based change detection? 0% ⬜ Not Started

Q-10-04 10 AI/ML-Enabled Exploitation and Automation Does the solution support route, activity and pattern-of-life (POL) monitoring over persistent observation areas through ML-derived indicators? 0% ⬜ Not Started

Q-10-05 10 AI/ML-Enabled Exploitation and Automation Does the solution support object density, activity and anomaly detection from imagery and motion imagery? 0% ⬜ Not Started

Q-10-06 10 AI/ML-Enabled Exploitation and Automation Does the solution support terrain classification, trafficability and going assessments derived from multi-source imagery and terrain data? 0% ⬜ Not Started

Q-10-07 10 AI/ML-Enabled Exploitation and Automation Does AI/M/DL output contain or support defining a confidence score, supporting evidence and a clear indication of model provenance presented to the analyst? 0% ⬜ Not Started

Q-10-08 10 Geospatial & Analytical Visualization Does the solution enable visualisation of confidence scores and AI-assisted detections? 0% ⬜ Not Started

Q-10-09 10 AI/ML-Enabled Exploitation and Automation Does the solution enforce analyst validation (human-in-the-loop) before any AI-derived observation is promoted into a finished intelligence product? 0% ⬜ Not Started

Q-10-10 10 AI/ML-Enabled Exploitation and Automation Does the solution provide AI explainability mechanisms (e.g. saliency maps, feature contribution, lineage to training data class) accessible to the analyst? 0% ⬜ Not Started

Q-10-11 10 AI/ML-Enabled Exploitation and Automation Does the solution support integrating third-party or customer-trained ML models, including model upload, validation, deployment and retirement, with full model lifecycle governance? 0% ⬜ Not Started

Q-10-12 10 AI/ML-Enabled Exploitation and Automation Does the solution support analyst feedback loops to retrain or refine ML models based on operational use (e.g. correction labels, false-positive marking)? 0% ⬜ Not Started

Q-10-13 10 AI/ML-Enabled Exploitation and Automation Does the solution operate AI/ML workloads within on-premises, sovereign cloud, deployable / edge), without dependency on commercial public-cloud-services? 0% ⬜ Not Started

Q-10-14 10 AI/ML-Enabled Exploitation and Automation Does the solution align with NATO Principles of Responsible Use for AI and with documented ethical AI practices including bias testing, model documentation (model cards) and dataset documentation (datasheets)? 0% ⬜ Not Started

Domain 11 AI/ML-Assisted Visualization (6 questions)

Q-11-01 11 AI/ML-Assisted Visualization Does the solution visualise AI-generated detections, classifications, as alerts and notifications? 0% ⬜ Not Started

Q-11-02 11 AI/ML-Assisted Visualization Does the solution allow analysts to accept, reject, or refine AI-generated data and annotations? 0% ⬜ Not Started

Q-11-03 11 AI/ML-Assisted Visualization Does the solution provide explainability overlays for AI-assisted target recognition? 0% ⬜ Not Started

Q-11-04 11 AI/ML-Assisted Visualization Does the solution support automated object tracking visualisation? 0% ⬜ Not Started

Q-11-05 11 AI/ML-Assisted Visualization Does the solution display confidence thresholds and uncertainty indicators? 0% ⬜ Not Started

Q-11-06 11 AI/ML-Assisted Visualization Does the solution enable AI-assisted prioritisation of imagery review queues? 0% ⬜ Not Started

Domain 12 Collaboration & Dissemination (6 questions)

Q-12-01 12 Collaboration & Dissemination Does the solution support shared exploitation sessions, collaborative annotations, formal review and adjudication workflows, and intelligence lineage tracking? 0% ⬜ Not Started

Q-12-02 12 Collaboration & Dissemination Does the solution preserve institutional knowledge across…