Case Study: Ollang achieves 76% less manual processing with AssemblyAI Voice AI

Ollang cuts manual processing by 76% with AssemblyAI

Ollang, a provider of AI-enabled media localization services for streaming platforms and broadcasters, faced a significant challenge with its multi-agent AI platform. The accuracy of its foundational transcription service was insufficient, especially for non-English audio, leading to cascading errors that undermined production quality and required extensive manual intervention. To achieve its goal of scaling operations, Ollang needed a best-in-class speech-to-text solution that could deliver production-ready accuracy.

By integrating AssemblyAI's Universal Speech-to-Text API, Ollang established a highly accurate transcription foundation for its platform. This integration resulted in a 76% reduction in human-in-the-loop effort and a 30-40% improvement in overall platform accuracy. The enhanced reliability from AssemblyAI allowed Ollang to dramatically scale its services, achieving near-production-ready results automatically and leading to a 25% increase in autonomous service orders from clients.

Ollang