Phonic Raises $4M to Revolutionize Voice AI with End-to-End Model Training
Voice AI startup Phonic secures $4M in funding to enhance AI-generated voices with in-house model training.
Matilda
Phonic Raises $4M to Revolutionize Voice AI with End-to-End Model Training
The rapid advancement of AI-generated voices has opened doors for applications like audiobooks, podcasts, and virtual assistants. However, businesses remain hesitant to fully integrate AI voice tech due to concerns about reliability and latency. Image:Google Recognizing this gap, MIT graduates Moin Nadeem and Nikhil Murthy founded Phonic, a voice AI platform that offers an end-to-end voice stack designed to enhance synthetic voice reliability while optimizing latency. Unlike many competitors that piece together separate AI models, Phonic takes a different approach—it trains its models entirely in-house. Why Phonic Stands Out Most voice AI solutions rely on a mix of automatic speech recognition (ASR), text-to-speech (TTS), and additional intelligence layers. However, this often leads to inefficiencies, inconsistencies, and lack of control over performance. Phonic eliminates these issues by owning the entire model training process, which enables deeper integration, improved accuracy, and co…
