Arctic ISR & Domain Awareness
Multi-UAV • GNSS-aware • Arctic-ready
Plan and optimize multi-UAV intelligence, surveillance, and reconnaissance (ISR) missions across vast Arctic and remote regions. Aquti Mission Planner enables persistent coverage, route optimization, and communications-aware operations in GNSS-degraded and low-connectivity environments.
Designed for Arctic sovereignty, maritime monitoring, and border surveillance, the platform integrates weather, terrain, satellite coverage, and environmental layers to ensure mission continuity and maximum area coverage.
Military Search & Rescue Coordination
Time-critical • Multi-drone coordination • Terrain-aware
Coordinate UAV fleets for rapid search and rescue (SAR) missions in remote and extreme environments. Aquti enables efficient search pattern generation, multi-drone area coverage, and dynamic mission planning based on terrain, weather, and last-known-position inputs.
From Arctic rescue operations to disaster response, the platform improves response time, coverage efficiency, and mission success in time-critical scenarios.
Tactical Recon & Route Clearance
Threat-aware • Corridor planning • Resilient navigation
Optimize UAV missions for route reconnaissance, convoy support, and tactical surveillance in contested or uncertain environments. Aquti Mission Planner enables corridor-based mission planning, threat-aware routing, and coordinated multi-UAV operations.
By integrating risk zones, GNSS reliability, and environmental constraints, the platform supports safer and more efficient route clearance and real-time operational awareness.
Forward UAV Basing & Fleet Optimization
Strategic planning • Fleet optimization • Scalable operations
Determine optimal UAV launch locations and fleet composition for large-scale and Arctic operations. Aquti Mission Planner evaluates landing site placement, coverage trade-offs, and fleet configurations to maximize mission effectiveness.
This enables defense planners to design scalable UAV operations, improve endurance and coverage, and make informed decisions on resource allocation in infrastructure-limited environments.