Case Study: Earmark achieves 83% lower streaming costs and unlimited scalability with AssemblyAI

Earmark cuts streaming costs by 83% with AssemblyAI

Earmark, a real-time multi-agent AI platform for product managers, required a highly scalable and cost-effective speech-to-text solution to serve as the foundation of its product. The startup needed unlimited concurrent streaming, strong privacy protections, and responsive support to handle sensitive customer meetings reliably as it prepared for its public launch. They turned to AssemblyAI for its real-time transcription service.

By implementing AssemblyAI's API, Earmark achieved an 83% reduction in streaming costs and gained the ability to handle over 100 concurrent streams without any performance degradation. The solution was implemented in just four days and provided the unlimited scalability and privacy-by-default features Earmark needed. This partnership with AssemblyAI enabled sustainable unit economics and allowed the startup to focus on product development instead of infrastructure limitations.

Earmark