Case Study: Beam improves real-time multilingual conversations with ai-coustics

A ai|coustics Case Study

Preview of the Beam Case Study

Beam boosts conversation feedback from 70% to 90% with ai-coustics

The customer, Beam, a provider of an AI platform for frontline social workers, faced significant audio quality challenges in its real-time interpretation product, Beam Interpret. Background noise and low user confidence in real-world environments like busy offices were degrading speech-to-text accuracy and disrupting crucial conversations for vulnerable users. To address this, Beam turned to the vendor ai-coustics and its audio insight model, Tyto.

ai-coustics implemented its real-time audio insight model, Tyto, to analyze incoming audio and flag quality issues before they broke the conversation. This solution provided real-time guidance to users and improved Beam's overall audio processing architecture. The results were a dramatic improvement, with user feedback and sentiment scores rising from around 70% positive to consistently 90% across all conversations.


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