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.

Autonomous and intelligent AI systems designed to independently plan, coordinate, and execute complex tasks. These agents leverage advanced models and frameworks to analyze data, make decisions, and perform actions across diverse applications such as productivity, customer support, or operational management.

AI agents specialized in controlling and managing robots for various applications, from industrial automation to personal assistants and autonomous vehicles. These agents enable robots to perform tasks such as navigation, manipulation, and decision-making in dynamic environments, enhancing efficiency and adaptability.

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.