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 focus on processing and analyzing large datasets to extract valuable insights. These agents can perform statistical analysis, identify trends, visualize data, and generate reports, helping organizations make informed, data-driven decisions.

AI agents capable of performing tasks independently, without human intervention. These agents can make decisions, adapt to changing environments, and carry out complex processes in real-time, offering solutions in areas such as robotics, logistics, and automated operations.