Composite AI is an approach that combines multiple AI techniques, models, or specialized components to solve a problem more effectively than a single AI method could. A composite system might integrate machine learning, natural language processing, computer vision, knowledge graphs, optimization, or generative AI, with each component handling a specific part of the overall task.
This approach is useful for complex applications that require different forms of intelligence. For example, an enterprise system could combine document understanding, predictive models, and generative AI to extract information from reports, identify patterns, and produce recommendations. The components can work together as a coordinated pipeline while remaining specialized for their individual functions.
