Case Study: Elerian AI achieves 90%+ speech recognition accuracy with Deepgram

Elerian AI boosts voicebot accuracy to over 90% with Deepgram

Elerian AI, a company dedicated to creating human-like conversational voicebots, faced the challenge of building a highly accurate automatic speech recognition (ASR) engine. General ASR solutions available on the market could not handle the wide array of accents, dialects, and domain-specific vocabulary required for their call center clients, particularly in regions like South Africa with multiple languages. They needed a fast, precise, and secure solution to form the foundation of their product.

Deepgram provided its tailored speech models to address this challenge. Their solution delivered speech-to-text transcription with over 90% accuracy and a lag of less than 300 milliseconds, enabling Elerian AI's voicebots to understand callers naturally. This high level of accuracy was a critical improvement over the 70% industry standard and allowed for a more seamless, human-like customer experience. Additionally, Deepgram's on-premises deployment option ensured the security required for Elerian AI's banking and financial services customers.

Elerian AI