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Drones & Air
Autonomous systems are revolutionizing aerial warfare and require new capabilities to ensure air superiority.
State-of-the-Art
The current state of drone technology in the defense sector reveals critical gaps:
Lack of Equipment - Many European armies rely on outdated systems and lack sufficient capabilities to counter enemy drones.
Minimal AI and Autonomy - Autonomous operations, AI integration, and swarm technologies remain underdeveloped, with high dependence on human control.
Vulnerability to Active Emissions - Conventional drones rely on radar, LiDAR, and other active sensors that expose operational positions and intent.
Overreliance on GPS - Most drone systems depend on GPS, which is vulnerable to jamming, spoofing, and denial in contested environments.
Misalignment with Modern Warfare - Traditional doctrines are not designed for asymmetric and autonomous threats like drone swarms or AI-enabled systems.
Challenges
Operations in Contested Environments
Future conflicts will take place in environments with intensive electronic warfare, GPS denial, and active drone countermeasures.
Swarm Operations
Coordinating multiple autonomous systems in dynamic environments requires revolutionary AI capabilities.
Stealth Requirements
The need to operate without active emissions that could reveal position and intent will be crucial for survival.
Complex Urban Environments
Operations in densely built areas require precise navigation without GPS and advanced obstacle avoidance.
Information Superiority
The ability to collect, process, and utilize data in real-time will become the decisive factor for success.
Edge Computing
Advanced computing power directly on the platform will be crucial for true autonomy.
Passive Sensor Technologies
Sophisticated electro-optical, infrared, and passive RF detection systems will become indispensable.
Secure Communication
Encrypted, difficult-to-detect communication systems for critical commands.
Resource Requirements
the role of AI
Multi-Modal Perception
Integration of various passive sensor data for a comprehensive situational picture.
Autonomous Decision-Making
AI must be able to make complex tactical decisions without human intervention.
Adaptive Learning
Systems must be able to adapt to new threats and environments.
Certifiable Algorithms
Algorithms must meet strict military standards and be formally verifiable.
Our AI Solution
Emission-Free Autonomy Architecture
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Passive-Only Navigation - Our proprietary Visual SLAM technology enables precise positioning and navigation without GPS or active emissions, using only onboard cameras and passive sensors.
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Multi-Modal Passive Perception - Fusion of data from electro-optical, infrared, passive RF detection, and other non-emitting sensors for comprehensive situational awareness under all environmental conditions.
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Edge-Optimized Processing - All computations are performed directly on the drone's existing hardware, requiring no external infrastructure or data links for autonomous operation.
SPLEENLAB's VISIONAIRY® Defense Suite revolutionizes aerial warfare through advanced passive autonomy:
Why Spleenlab is Different
Enables autonomous navigation and situational awareness without reliance on GPS or active sensors—crucial for stealth and contested airspaces.
Developed in compliance with aviation and defense safety standards, with verifiable performance for critical missions.
Runs efficiently on existing avionics and embedded systems—no need for external infrastructure. Compatible with drones, UAVs, and optionally manned platforms.
Combines visual, thermal, and passive RF sensing to detect threats, avoid collisions, and classify aerial objects in real time.
Enables one operator to coordinate multiple assets, from reconnaissance UAVs to loitering munitions, reducing cognitive load and increasing tactical reach.
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Solutions
Customers
Spleenlab GmbH is a highly specialized AI perception software company founded with the vision of redefining safety and artificial intelligence.
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