Roll-up of 2 projects. Projects are the summable leaves — the PE total is their sum, never added to it.
For fiscal year 2027, the U.S. Army is requesting $306.0M for C2 Data under RDT&E program element 0605332A, against nothing enacted in FY2026.
Funding profile, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 0.0 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 306.0 |
| FY2028 | Outyear | 312.1 |
| FY2029 | Outyear | 318.4 |
| FY2030 | Outyear | 324.7 |
| FY2031 | Outyear | 331.2 |
Acquisition lifecycle
This program is funded in RDT&E Budget Activity 5 — System Development & Demonstration.
2 projects roll up into PE 0605332A
Projects are the summable leaves — the PE total is their sum, never added to it. Program elements and projects carry the full five-year plan; activities stop at the budget year.
ARTIFICIAL INTELLIGENCE/MACHINE LEARNING
Congressional marks
Committee marks on the FY2027 request. Adds and cuts are reconciled in conference before they become law.
Where the FY2027 request goes
Performers named in the R-3 exhibit, resolved into industry, government-lab, and unspecified shares. Budget-justification contract funding, not obligations.
| Where FY2027 funding flows | Share | $M |
|---|---|---|
| Industry primes | 2.7% | 8.2 |
| Other / unspecified | 97% | 297.9 |
| FY2027 request | 100% | 306.0 |
Mission & acquisition strategy
NGC2 is the Army's highest Command and Control (C2) modernization priority and will enhance the ability to conduct multi-domain operations by integrating advanced technologies, improving interoperability, and increasing the speed and accuracy of decision-making processes. This funding line supports the C2 Data Layer within the NGC2 ecosystem providing commanders a common layer of persistently available C2 data facilitating faster and better-informed decision making to outpace the enemy.
The Software Acquisition Pathway (SWP) program, currently in the Planning Phase (PP), supports the Next Generation Command and Control (NGC2) Data and Applications Layers established to satisfy requirements captured in the NGC2 Capability Characteristics of Need (CoN), dated 21 May 2024, NGC2 Initial Capability Document (ICD), dated 23 September 2025, and NGC2 CoN Update 2 Annex for Data Layer, dated 23 September 2025. This funding line supports the C2 Data Layer, which provides commanders persistently available C2 data to facilitate faster and better-informed decisions that outpace adversaries.
- Management Services
- Product Development
- Test and Evaluation
Ask this program element
Answers are generated from the figures on this page — the FY2027 justification exhibits and the marks tracked above — and nothing else is consulted. Confirm any figure against the cited exhibit before you use it externally.
This page carries the budget justification and the NDAA marks — nothing else. For what ATEC has actually been obligated, the ledger is at hitchintel.com/vendors; for live solicitations, hitchintel.com/opportunities. Both are member surfaces.
Cite this page
/programs/0605332A.md · MCP mcp.hitchintel.com → budget_get_program_element, budget_get_cong_marksC2 DATA — one RDT&E project inside PE 0605332A. Congressional marks are recorded on the program element, not on a project.
Project C2E — C2 DATA — requests $247.5M in FY2027, 81% of the $306.0M requested for program element 0605332A. It is a new start — no prior-year or current-year money.
Project C2E funding, FY2027–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2027 | Request | 247.5 |
| FY2028 | Outyear | 234.1 |
| FY2029 | Outyear | 208.2 |
| FY2030 | Outyear | 233.7 |
| FY2031 | Outyear | 242.0 |
3 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them. Opening lines only here — the full year-by-year narrative is on the project page.
FY 27 funds CI/CD of the Data capability. It will mature CI/CD processes to integrate emerging technology and scaled capability via algorithms, sensor data, legacy capabilities into the data layer baseline and award contract(s) to deploy the Data Layer capability across the Army. Additionally, it will continue analysis of commercial…
Read the FY2027 plan →Funding supports the implementation of testing processes and capabilities for the C2 Data Layer continuous verification and validation processes during CI/CD, including participation in iterative operational assessments for the overarching full stack NGC2 capability (e.g., data, applications, infrastructure and transport layers)…
Funds labor to support facilitation of continuous competition, cybersecurity compliance assessments, software materiel release and associated updates, logistics support, program oversight and risk management.
Read the FY2027 plan →Named performers on project C2E
Performers named in the R-3 exhibit under this project. Share is of the project's whole FY2027 R-3 total — the same denominator the program-element split uses, so the two read on one scale and will not sum to 100% when unnamed or government work is in the mix. Budget-justification contract funding, not obligations.
What project C2E buys
Project C2E / C2 Data is established in Fiscal Year (FY) 2027 as part of a new funding structure for the NGC2 investment in modernization of Army C2 systems. This project represents a funding line consolidation and structure change for the NGC2 Data Layer and does not constitute a new start program or effort. Funding for NGC2 Data Layer activities was provided in FY 2026 under PE 0604818A Project EJ6 / Tactical Enhancement, which is realigned under this PE beginning in FY 2027. The Army's data layer provides a unified environment that ingests, transforms, and normalizes data from disparate systems to ensure it is trusted, usable, and interoperable across missions and applications. It delivers secure credentialing and identity-based access controls so users, systems, and automated agents can interact with information according to policy and classification. The layer stores, organizes, and manages data at enterprise scale while applying metadata tagging to enable rapid discovery, retrieval, and fusion. It exposes common data services-such as translation, validation, cataloging, and orchestration-that standardize how information moves across networks and platforms. Together, these functions form the foundation for advanced analytics, AI/ML, and decision-support tools that improve the speed and quality of operations. The Army's data layer includes the operating system and common core services (including interface applications, analytics, network health and cybersecurity, training and simulation). Core services are key to enabling applications in a data-centric network with increased efficiency in overall data/network management. Core services will leverage industry standard protocols for identity authentication and access control at the point of need in denied, disrupted, intermittent and limited environments and enable the tactical environment to meet Department of War and Army Zero Trust requirements. FY 2027 funding supports contract awards deploying C2 Data layer system to the Army, and ensuring continuous integration and continuous deployment (CI/CD) for a secure, high performing, and adaptive centerpiece to the NGC2 technology stack.
- Management Services
- Product Development
- Test and Evaluation
ARTIFICIAL INTELLIGENCE/MACHINE LEARNING — one RDT&E project inside PE 0605332A. Congressional marks are recorded on the program element, not on a project.
Project C2F — ARTIFICIAL INTELLIGENCE/MACHINE LEARNING — requests $58.5M in FY2027, 19% of the $306.0M requested for program element 0605332A. It is a new start — no prior-year or current-year money.
Project C2F funding, FY2027–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2027 | Request | 58.5 |
| FY2028 | Outyear | 78.0 |
| FY2029 | Outyear | 110.2 |
| FY2030 | Outyear | 91.0 |
| FY2031 | Outyear | 89.2 |
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them. Opening lines only here — the full year-by-year narrative is on the project page.
Funding will be used to develop and modify use cases to inform and evaluate AI/ML capabilities to determine which will be integrated into the AI/ML decision toolbox that is folded into the C2 data layer system optimizing the NGC2 ecosystem, ensuring AI/ML capabilities are scalable across the Army.
What project C2F buys
Project C2F / Artificial Intelligence/Machine Learning is established in Fiscal Year (FY) 2027 as part of a new funding structure for the NGC2 investment in modernization of Army C2 systems. This project represents a funding line consolidation and structure change for the NGC2 Data Layer and does not constitute a new start program or effort. Funding for NGC2 Data Layer activities was provided in FY 2026 under PE 0604818A Project EJ6 / Tactical Enhancement, which is realigned under this PE beginning in FY 2027. The C2 Data layer Artificial Intelligence/Machine Learning (AI/ML) decision tools augment operations at the speed and scale required by rapidly synthesizing large volumes of data giving commanders the right information, at the right time, to support the right decision. The C2 Data layer AI/ML tools enable consistent and constant evolution of the NGC2 ecosystem maintaining pace with the accelerated change in the modern digital battlefield. Recognizing patterns and the context behind the data, AI/ML tools reveal connections that might otherwise go unnoticed, leading to missed opportunities that could make the difference between success or failure. The AI/ML toolbox will be enhanced by the inclusion of AI Operations and Services (AIOPS) capabilities that began as multiple Small Business Innovation Research efforts and were realigned to the C2 Data layer as part of the NGC2 structure changes. FY 2027 funding supports the development and integration of AI/ML decision tools in the C2 data layer system optimizing the NGC2 ecosystem.
- Product Development