Rime picks up $24M Series A to help enterprises field customer calls
Voice AI startup Rime has raised $24 million in Series A funding to develop models specifically for enterprise customer service. The company aims to improve pronunciation accuracy for brand-specific terms using a phoneme-based architecture.
Why it matters
It highlights the ongoing struggle to make AI voice agents as effective as legacy IVR systems in professional enterprise environments.
Voice AI startups’ biggest unlock has been handling calls for enterprises in areas like sales, marketing and customer support. Large organizations are offloading calls to voice model developers like ElevenLabs and Deepgram ; infrastructure companies like Vapi , Retell, and LiveKit; and dedicated customer support shops like Decagon and Sierra.
San Francisco-based Rime is trying to gain an edge in this crowded market with its voice AI models that are trained on conversational data that it records, aiming to reduce its clients’ customization load.
Founded in 2022 by former Stanford PhD student Lily Clifford, ex-Amazon Alexa engineer Brooke Larson, and Stanford engineer Ares Geovanos, Rime has built a recording studio in San Francisco to collect its own conversational data rather than relying on scraping the web for audio.
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