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Forest Fire

Hyper Realistic Digital Twin for Enhanced Situational Awareness

01

Real-Time Situational Awareness

Multi-sensor fusion with individual mapping delivers a unified COP, reducing decision time by 55% in DDIL zones, outperforming legacy systems with <50 ms latency vs. 2-5 seconds.

02

Scalable Autonomy

Controls 300+ agents with <5s recovery, enabling mission success in 100% of HIL tests, for enhanced ISR and neutralization in defense/public safety scenarios.​

03

Resilient Communications

Self-healing mesh ensures 96% uptime and 38% reduced packet loss, with AES-256 safeguards against intrusions—ideal for contested terrain.

04

Operational Impact

Boosts efficiency in pan-domain ops, with quantified ROI from internal benchmarks: 60% faster AI development, 35% reduced latency.

05

Modular and Compliant

Open architecture integrates with C2 systems, supports adoption without overhauls, and aligns with the most rigorous requirements for cybersecurity and explainable AI.​

06

Cost and Performance Efficiency

Lowers training to <10 hours, cuts model training time by 60% via synthetic data, and improves mAP by 7% for dark targets.

Key Advantages

Resilient & Performing

01

High-Fidelity Digital Twin Engine

  • Builds a live 3D replica of operational environments,

  • Fusing data from Electro-Optical/Infrared (EO/IR), radar, LiDAR, and telemetry for a common operating picture (COP).

  • Supports software-in-the-loop (SIL) / hardware-in-the-loop (HIL) validation with <50 ms latency and <2.5% spatial deviation,

  • Generates synthetic data for AI training and mission rehearsal,

  • Includes dark target detection and electronic warfare (EW) threat modeling.

02

Autonomous Swarm Coordination

  • Manages up to 300 UAVs/UGVs with Explainable AI for dynamic task allocation, collision avoidance, and failover.

  • Swarm recovery time <5 seconds in HIL tests,

  • Enables persistent Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISR), overwatch, and physical interception in pan-domain ops.

03

Distributed Edge Computing

  • Each NDC agent/node processes data onboard with FPGA acceleration,

  • Supports federated learning and zero-cloud dependency.

  • Handles real-time fusion and AI inference with <100 ms latency,

  • Ensures autonomy in DDIL environments.

04

Self-Healing Secure Mesh Network

  • 5G/6G architecture with AES-256 encryption, intrusion detection, and predictive routing for 96% uptime.

  • Integrates voice/gesture commands,

  • Reduces operator input latency by 35%,

  • Supports NATO-compliant data sovereignty

05

AI and Decision Support Integration

  • Explainable AI modules for object detection, fault prediction, and cyber/EW safeguards.

  • Operator training in <10 hours via intuitive interfaces, with voice-enabled assistance for hands-free control.

Core Components: A Resilient Ecosystem

Empowering law enforcement teams with AI-driven, resilient systems for real-time multi-sensor fusion, autonomous swarm operations, and secure edge networking—optimized for pan-domain missions in degraded or denied environments.

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