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Smallest.ai raises $13M to build ultra-fast voice AI that sounds genuinely human
Smallest.ai has raised $13 million in Series A funding to develop voice AI that responds quickly enough to sound more like a human conversation. The startup argues that conventional large language models can introduce noticeable pauses in spoken exchanges, so it is building smaller, specialised models that listen, process and respond simultaneously; this could make AI customer support agents feel more natural.
The round was led by Seligman Ventures, with Sierra Ventures and 3one4 Capital participating, bringing Smallest.ai’s total funding to more than $21 million. Its model handles real-time, voice-specific challenges including accents, multiple languages and noisy environments, while referring unfamiliar questions to a larger model; customers include RingCentral and Truecaller, and competitors include ElevenLabs and Cartesia.
In short
- Smallest.ai raised $13 million for faster, more human-sounding voice AI.
- It combines a real-time voice model with larger models for complex queries.
- The company targets enterprise customer-support voice agents.
Explained simply
Voice AI lets people speak to software and hear spoken replies, for example when contacting an automated customer service line. A noticeable delay between a question and an answer can make the exchange feel less like a conversation.
Smallest.ai is a startup developing voice-focused models designed to listen and respond quickly, including in situations involving different accents, languages or background noise. It says its system can pass unfamiliar questions to a larger AI model.
The company’s customers include communications firms RingCentral and Truecaller, and it competes with voice AI businesses such as ElevenLabs and Cartesia. The field matters to companies exploring whether spoken AI can handle more customer interactions in a way people find easy to use.
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