AI agents that specialize in processing and interpreting visual data from the world. These agents can perform image recognition, object detection, facial recognition, video analysis, and other tasks that involve analyzing and understanding visual content.

AI agents designed to operate at the edge of networks, where data is processed locally on devices rather than in the cloud. These agents enable real-time decision-making, reduce latency, and enhance privacy by processing data directly on devices such as IoT sensors, smartphones, and embedded systems.

AI agents that streamline and automate repetitive tasks across various domains, including business processes, IT management, and personal workflows. These agents help reduce manual effort, improve efficiency, and enhance productivity by handling tasks such as scheduling, data entry, and notifications.

AI agents designed for autonomous vehicles, enabling self-driving cars, trucks, drones, and other transportation systems. These agents manage navigation, decision-making, sensor fusion, and safety protocols to allow vehicles to operate without human intervention.

AI agents that use historical data and machine learning algorithms to predict future outcomes. These agents analyze patterns, trends, and correlations to provide insights for decision-making in areas such as marketing, finance, operations, and risk management.