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AI Voice Agents Now Indistinguishable from Humans
31 Jul
Summary
- Smallest.ai develops voice AI to mimic human simultaneous listening, thinking, and speaking.
- Startup raised $13 million to make AI conversations feel natural.
- Focus on voice nuances like accents and noisy environments sets it apart.
Smallest.ai, a startup founded in late 2024, is pioneering a new approach to voice AI agents. Instead of relying solely on large language models (LLMs), the company is developing smaller, specialized models designed to mimic human conversation. Their core innovation is a model that can listen, think, and speak simultaneously, drastically reducing response lag and making interactions feel more natural.
This focus on real-time conversational intelligence has attracted significant investment. Smallest.ai recently raised $13 million in a Series A funding round, led by Seligman Ventures, with participation from Sierra Ventures and 3one4 Capital. This brings the company's total funding to over $21 million.
Kamath, the founder and CEO, believes the future of AI agents will involve a two-model system: a small, voice-optimized model for immediate interaction and an offline LLM for complex problem-solving. Smallest.ai differentiates itself by focusing on voice-specific challenges like accent diversity, multiple languages, and operation in noisy environments, aiming to pass the Turing test for voice.
