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 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 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.