Glossary
Multimodal AI
AI that can work with more than one type of data, such as text, images, audio, and video, in a single model.
Multimodal AI handles several kinds of input or output at once. The same model might read a screenshot, listen to a voice note, or describe a photo, rather than being limited to plain text.
For business, this widens what's possible: pull data from scanned documents, answer questions about a diagram, or let people speak instead of type. The trade-off is that accuracy still varies by task, so each use case is worth testing.
How we use it
We match the modality to the problem, for example reading documents or images when that removes manual data entry, and we evaluate it before trusting it in production.
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