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HiveCore

HiveCore™ AI is a real-time decision engine that coordinates autonomous fleets across air, surface, and sub-surface domains. Built for high-stakes operations, it uses decentralized swarm intelligence to assign roles, rank threats, and adapt missions from live sensor data. Modular by design, HiveCore™ powers SAR, port security, environmental monitoring, and tactical ISR—delivering coordinated action with minimal human oversight. 

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HiveNav

HiveNav™ AI is an autonomous navigation and path-planning system for air, surface, and sub-surface missions. Using sensor fusion, predictive routing, and AI obstacle avoidance, it adapts in real time to terrain, currents, weather, and mission goals. Operable solo or in coordinated fleets, HiveNav™ delivers precise, efficient movement with minimal operator input. Its modular design integrates seamlessly with HiveCore™ AI to unify individual autonomy and swarm behavior.

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Platform

3.2 m USV that carries and auto-deploys its own UAV (~45 cm) and UUV (~40 cm) for air/surface/sub-surface coverage.

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Endurance & Power

Fully electric; up to ~2 hours per patrol cycle with ~30-minute fast charge turnarounds (mission-dependent).

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Sensing

Day/night EO/IR imaging with zoom + onboard situational sensors for detection, identification, and evidence capture.

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Comms & Control

Secure multi-link connectivity (LTE/5G + mesh, SAT optional) with browser-based command, live video, and audit logs.

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Safety & Reliability

Self-righting hull, geofencing, remote E-stop, and encrypted data handling; designed for continuous marina, port, and offshore use.

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Modular Payload System

The platform supports interchangeable mission payloads, allowing quick adaptation for surveillance, environmental monitoring, or inspection. Each drone integrates standardized mounts and data interfaces for rapid reconfiguration in the field.

From the surface to the sky to the depths below, DarkWake is building the world’s first truly intelligent maritime fleet — autonomous, connected, and ready to protect what matters most.

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