JAILBREAK Needs-Driven Acquisition for Near-term Operations (NANO) - Accelerated Capability Event (ACE) II

The Army FUZE Contracting Center, on behalf of the Global Tactical Edge Acquisition Directorate (G-TEAD), intends to negotiate and award experimental purposes agreements pursuant to authority 10 United States Code (U.S.C.) §4023. The government is seeking to identify potential sources capable of providing technologies, software, systems integration solutions to enable sensors, platforms, weapons systems, and command-and-control (C2) technologies to share data seamlessly in real time. White papers demonstrate operational relevance, technical maturity, integration readiness, and the ability to support rapid execution timelines. The goal of this initiative is to break down traditional system-silos at the tactical edge, ensuring interoperability and rapid sensor-to-shooter data transfer in degraded, contested, and operational environments. Problem Statement The Army has an emergent operational requirement to rapidly deploy an integrated autonomous sensing and effector capability on a highly compressed timeline. Specifically, the Army seeks fully autonomous platform navigation and mission routing (to maneuver through contested terrain) and semi-autonomous modular sensor payloads (to automatically detect and track targets), while ensuring that any kinetic or non-kinetic effector functions strictly maintain a human-in-the-loop architecture for command-and-control targeting decisions. "The immediate objective is to deliver prototype systems comprising a combination of autonomous platforms, hot-swappable modular sensor payloads, autonomy/mission management software, communications, and supporting services. Current ground sensing architectures are largely fixed to Forward Operating Bases (FOBs) and static locations, limiting indications and warning (I&W) and coverage depth beyond the wire, while existing industry offerings tend to be individual, proprietary products rather than complete, interoperable mission solutions. This fragmentation creates significant friction in extending sensing range and integrating payloads with diverse ground platforms and existing command-and-control (C2) systems. To address this gap, the Army seeks integrated Mission Team solutions that deliver cohesive, end-to-end autonomous sensing and effector capabilities. These systems must: Extend Ground Sensing Range: Project organic capabilities at threshold minimum 20 km and objective 40km beyond the wire/FLOT. Permissible offers include emplacement of disposable sensors and / or usage of an ariel asset to extend the autonomous ground vehicle’s sensing range is permissible from offers. Support Swappable Modularity: Deliver modular payloads (combining sensors and/or kinetic and non-kinetic effectors) that can be rapidly, physically, and logically hot-swapped in the field across diverse platform classes. Small Payloads (under 100 lbs) must be integrated with light tactical autonomy platforms. Medium Payloads (100 to 1,000 lbs) must integrate with medium tactical platforms. Large Payloads (over 1,000 lbs) must integrate with heavy-duty mobile architecture such as tactical trailers or utility vehicles. Operate in DDIL Environments: Execute autonomous navigation, mission planning, and target acquisition once a known reference point is established, utilizing both BLOS and LOS network transports. Can include storing waypoints or similar. Does not require full mission planning autonomy software. Standardize Open Interfaces: Required open, Documented, vendor-agnostic interfaces (e.g., gRPC for intra-/inter-robot tasking and IBCS-M for C2 task management) to avoid long-term vendor lock-in and ensure compatibility with Government Furnished Equipment (GFE) and Multiple autonomy stacks. Enable Modern C2 Integration: Accept tasking geometry, mission plans, and agent-skill-based tasking from IBCS-M (Lattice) and Maven Smart System (MSS). The requirement is to deliver coherent, interoperable, and rapidly deployable robotic sensing and effector systems that can be tested, scaled,...