Multimodal AI systems understand and process more than one type of input — text, images, audio, video, structured data — within a single system. This enables richer interactions and wider applicability than text-only AI.
A claims processing system that reads both the written description of an incident and the photos submitted alongside it — then reasons across both inputs to make an assessment — is multimodal. So is a manufacturing quality control system that analyzes production sensor data alongside photos of finished products to identify defects. Multimodal AI opens up use cases that are simply impossible with text alone.
