Multimodal AI

Multimodal AI refers to artificial intelligence systems that can process and integrate multiple types of data inputs simultaneously, such as text, images, audio, and video. These models learn to understand relationships between different modalities and generate coherent outputs across them, enabling more human-like perception and reasoning.

Companies urgently need multimodal AI to power next-generation applications like AI assistants that can see and hear (Alan), creative tools that blend text and visuals (RunwayML), and autonomous systems requiring environmental understanding. The shift from single-modality models to unified multimodal architectures represents the current frontier in AI development, with major players racing to deploy systems that can handle real-world complexity.