Native Instruments tested a prototype AI-powered chat interface for searching and discovering sounds in its digital library, built using Amazon Bedrock and large language models from Anthropic, designed to understand natural-language and social-context search queries from music creators.

Native Instruments' research engineering team, led by Director of Research Engineering Andy Sarroff, partnered with consultancy Tribe AI in a four-week proof-of-concept engagement. The prototype combined Native Instruments' existing indexed sound file data (tagged audio files) with a generative AI layer powered by Anthropic's large language models via Amazon Bedrock. The goal was to enable the search interface to understand nuanced, colloquial, or pop-culture-reference-based queries (e.g., a user asking for sounds that evoke a specific feeling or era). As of the case study's publication, the prototype had been shared internally and was entering an A/B testing phase with company leadership; public deployment had not been confirmed.