AI agents designed to support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

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.

AI agents that assist in making complex decisions by analyzing data, providing recommendations, and evaluating different outcomes. These agents are used in strategic planning, financial decisions, risk management, and other critical business areas to support high-level decision-making.

AI agents that analyze user behavior, preferences, and historical data to make personalized recommendations. These agents are commonly used in e-commerce, streaming services, content platforms, and social media to suggest products, movies, music, and other items based on individual tastes and patterns.