SBIR/STTR Research Award

RAID: AI-Enabled Mixed-Reality Marksmanship Training for Enhanced Combat Readiness

Award identifier 0a9f0e2ff3b4a297296fdb0ef99f7914fa67b07f0b2faea25c933a00de00f808Awarding agency Department of Defense · Navy

Award amount

$139,867

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Orama Technologies Inc
Proposal award date
2025-07-07
Contract end date
2026-01-07
UEI
KELSYK6A3GK5
Solicitation number
25.1
Topic code
N251-054

Research abstract

The Rifleman-Assisted Instructional Device (RAID) addresses critical limitations in current Marine Corps marksmanship training by integrating real-time performance tracking, adaptive analytics, and mixed-reality simulation technologies. Existing training methods lack scalability, real-time feedback, and data aggregation, limiting their effectiveness in preparing Marines for modern combat scenarios. The RAID system leverages weapon-mounted sensors, AI-driven analytics, and augmented reality (AR) overlays to provide immediate, data-driven feedback on shooter performance, significantly improving training efficiency and combat readiness.The proposed Mixed-Reality Combat Simulator, developed by Orama Technologies, consists of PEQ-15 housed sensors, including a precision Inertial Measurement Unit (IMU) and directional microphone array, designed for seamless integration with standard-issue weapons such as the M4, M27, and M18. These sensors capture shot trajectory, trigger discipline, recoil management, and reloading efficiency in real-time. The collected data is processed through AI-powered analytics, generating actionable insights that enable instructors to provide instant shooter corrections. Unlike traditional simulators, RAID supports both live-fire and dry-fire training, offering a scalable solution across individual and group exercises.Key enhancements in the RAID system include:Expanded Real-Time Feedback & Performance Analytics: Multi-layered AI algorithms analyze shooting mechanics, integrating haptic feedback and visual overlays for instant corrective guidance.Extended Wireless Connectivity & Data Resilience: Edge computing protocols ensure over 150 minutes of offline functionality, allowing data caching and delayed synchronization in network-degraded environments.Advanced Sensor Capabilities & Firearm Action Recognition: Upgraded IMU sensors detect a broader range of firearm actions, including malfunction drills and emergency reloads, enabling comprehensive shooter assessments.Augmented Reality Integration: AR overlays simulate combat scenarios, improving situational awareness and adaptive marksmanship training.The system supports multi-shooter tracking and cross-platform compatibility, making it adaptable to diverse operational environments. Furthermore, real-world validation through field deployments with Ukrainian forces has demonstrated its effectiveness in high-intensity combat training. It enhances lethality, safety, and cost efficiency by reducing reliance on traditional infrastructure-dependent training methods. Its portable, modular design allows for rapid deployment across varied training environments, ensuring continuous improvement in marksmanship proficiency.Ý

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2025). Reported award amounts total $1,389,675. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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