Rime raises $24M to fix enterprise voice AI latency
voice ai startup rime raised a $24m series a to build speech-to-speech models that reduce latency for enterprises like mayo clinic, aiming to replace legacy ivrs.
voice ai startup rime secured $24m in series a funding to transition from separate pipelines to integrated speech-to-speech models, reducing reliance on orchestration and improving interaction latency. the company records its own conversational data rather than scraping the web, allowing its phoneme-based architecture to master brand entities without client retraining. with customers like mayo Clinic and Dialpad, Rime aims to replace legacy IVRs by solving latency issues that currently make voice AI feel robotic to end users. the round was led by M13 Ventures with participation from Twilio Ventures.