KILAVUZ

A Universal Approach to Self-Driving for
All Vehicles and Challenging Environments

Aerial view of a speedboat in stream in the sea

KAPTAN

Most Advanced Autonomy Capability for
Naval and Maritime Systems

Our Approach

Intelligence, Surveillance and Reconnaissance

Autonomous Awareness and Actionable
Intelligence Day/Night for Wide-Area

Our Approach

Creating technology that makes machines

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We pride ourselves on being sensor-agnostic, signifying our technological versatility in processing multiple sensor modalities. From day-light and thermal cameras to radar, LIDAR, and beyond, our tech stack seamlessly integrates and interprets data from various sources. Moreover, our approach to perception extends the cutting-edge realms of deep learning, embracing classical machine learning and computer vision techniques. This amalgamation allows us to not only harness the power of advanced neural networks but also leverage traditional methods, ensuring a robust and comprehensive understanding of the environment. Pushing further towards flexibility, our technology stack can be deployed at server-side, edge, or a dynamic combination of both. This adaptability ensures that our systems can process information in real-time, at the source, or through a distributed network, catering to the unique demands of various applications.

Unlocking Perception: A Sensor-Agnostic Revolution

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Navigating Complexity: Precision in Tracking, Terrain Analysis, and Spatial Awareness

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At the core of our autonomous systems is a dynamic decision-making process that evaluates multiple paths per second. Constantly analyzing and selecting the most optimal route, our system considers various factors, including road/sea conditions, obstacles, and real-time sensor data. The decision-making is not just based on efficiency but also factors in the kinematic and dynamic properties of the vehicle, ensuring a balance between performance and safety. This intricate process allows our technology to adapt to changing environments, making split-second decisions that prioritize the well-being of the vehicle and its occupants. The control mechanism takes into account the vehicle's motion, adjusting parameters in real-time to navigate through complex scenarios. Whether it's swift maneuvers or steady progress, our autonomous systems navigate with agility, emphasizing a proactive approach that anticipates challenges and ensures safety.

Dynamic Decision-Making: Steering Autonomous Systems with Agility and Safety

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