Amazon Titan Multimodal Embeddings

Bynder Reduces Search Time by 75% Using Amazon Bedrock with Amazon Titan Multimodal Embeddings

Bynder

Bynder, a digital asset management company serving over 4,000 companies globally and storing more than 175 million assets (18 PB of data), built visual-similarity search using Amazon Titan Multimodal Embeddings in Amazon Bedrock. The solution converts images and search queries into vectors to match by visual and contextual similarity. One Bynder customer reports that time spent searching for assets for a typical campaign task decreased by 75%, and search results return approximately 50% more relevant options on average. Bynder does not use customer data to train the underlying large language model. The company is now exploring frame-by-frame video indexing.