What project A72 buys
This project matures and demonstrates an advanced network lethality architecture to enable Joint All Domain Command and Control decision aid algorithms for coordinated and synchronized response and incorporates a full spectrum of effects and scalability to reduce the sensor to shooter timeline for Large Scale Combat Operations. Work in this project complements Program Element (PE) 0602141A (Lethality Technology) / Project CIB (Sensor to Shooter (STS) Applied Research). Work in this project supports Next Generation Combat Vehicle, Tactical Network, Future Vertical Lift, and Long-Range Precision Fires Army Modernization Priorities. This project matures and demonstrates advanced fire control integrated with existing/emerging armaments systems for Counter small Unmanned Aerial Systems (C-sUAS) engagements. These capabilities will demonstrate C-sUAS mobility, increased stowed kills vs sUAS threats, increased protection for maneuver units, and maximize affordability. This project demonstrates unit common C-sUAS capabilities for maneuver formations. Work in this project complements Program Element (PE) 0602141A (Lethality Technology) / Project CIB (Sensor to Shooter (STS) Applied Research). The cited work is consistent with Secretary of War Memorandum, Army Transformation and Acquisition reform. Work in this project supports Air and Missile Defense, Soldier Lethality, and Long-Range Precision Fires Army Modernization Priorities. Work in this project is performed by the Armaments Center and Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) Center.
Project A72 funding, FY2026–FY2029
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) |
|---|---|---|
| FY2026 | Enacted | 24.7 |
| FY2027 | Request | 11.3 |
| FY2028 | Outyear | 10.4 |
| FY2029 | Outyear | 2.1 |
3 accomplishments / planned programs
The R-2A exhibit — the only level of the budget that describes work that has not happened yet. Activities carry the prior, current and budget year only, no five-year plan. Coverage is partial across the corpus, so count activities, never total them.
FY2027 planned work Will mature C-sUAS Fire On the Move (OTM) advanced fire control algorithms. Will demonstrate C-sUAS fire OTM advanced fire control software with current and emerging armament systems in operationally relevant conditions. Will mature intelligent, distributed lethality fire control capabilities with automation-enabled collaborative engagement software for remote weapon systems to provide supervised automated operations for C-sUAS.
FY2026 to FY2027 change Funding decrease reflects the shift from initial closed loop fire control capabilities to maturation of closed loop fire control algorithms.
FY2026 plans — current year Will integrate and demonstrate collaborative distributed closed loop fire control capabilities utilizing fielded weapon systems to demonstrate C-sUAS fire control target prioritization capability; demonstrate C-sUAS closed loop fire control software for onboard optical sensors; demonstrate C-sUAS closed loop fire control software for non-collocated sensors over the network; demonstrate networked C-sUAS fire control interfaces and architecture to maximize efficiency and increase stowed kills; demonstrate C-sUAS closed loop fire control software for multiple weapon systems
FY2027 planned work Will mature algorithms that leverage intelligence sensor data to provide semi-automated battle damage assessment of non-kinetic effects. Will mature message protocols for delivery and orchestration of distributed battlefield electronic warfare effects.
FY2026 to FY2027 change Funding decrease reflects maturation of tracking and data fusion techniques required to enable algorithms for semi-automated battle damage assessment.
FY2026 plans — current year Will mature tracking and data fusion techniques to provide continuous target tracking & reconnaissance via time variable multi- Intelligence data from disparate intel sources; optimize object/signal classification and tracking algorithm performance within complex and congested environments; validate sensor-to-non-kinetic weapon system messaging capabilities and provide necessary updates to support near real time updates to electronic fires/effects.
FY2026 to FY2027 change In FY 2027, this effort is terminated.
FY2026 plans — current year Will improve system components of intelligence analytics for non-kinetic effects and overlay of non-kinetic effects to be integrated with kinetic targeting in support of layer fires effect planning and execution; demonstrate intelligence analytics for non-kinetic effects and overlay in a laboratory environment.