Quickly teachable Agentic AI for Off-Road Autonomy
NeuralPilot is our agentic, multimodal autonomy AI, designed to enable advanced off-road autonomy through a spatially, semantically, and temporally aware system. Leveraging Vision AI, GPS, and SLAM, NeuralPilot’s three-tiered safety system delivers robust, scalable, and cost-effective autonomy in GPS-denied environments. As an agentic AI, NeuralPilot learns and adapts independently to its surroundings, enabling autonomous decision-making and flexible operation tailored to dynamic, real-world conditions.
NeuralPilot equips off-road vehicles with teachable, agentic AI, enabling adaptive perception, navigation, mission planning, and real-time monitoring based on human demonstration.
Features
Robust, Teachable Perception
NeuralPilot’s Agentic AI combines data from cameras, LiDAR, and GPS sensors, learning from human demonstrations and replicates it perpetually at scale.
Agentic Decision-Making
Built to learn and adapt in real-time, NeuralPilot enables vehicles to autonomously refine their behaviour based on changing environmental conditions by continuous learning, enhancing efficiency and precision with each task iteration.
Human-Aware Navigation
With built-in human awareness, NeuralPilot safely and precisely navigates off-road missions, dynamically adapting to human presence nearby. The system learns and optimizes safety protocols through demonstration, enabling higher responsiveness and reliability.
No-Code Teachable Mission Planning
NeuralPilot’s intuitive mission planning UI allows users to “teach” the system-specific tasks by demonstration. This teachable interface simplifies complex mission planning, making it adaptable to a variety of operations without extensive reprogramming.
Three-level safety
NeuralPilot’s three-layer safety system—integrating Vision AI, GPS, and SLAM—creates an intelligent, resilient approach to off-road navigation, combining proactive awareness with robust, adaptable protection across unpredictable terrains.
Neuralbox
