Smallest.ai Raises $13M for Real-Time Voice AI
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- Smallest.ai raised a $13 million Series A led by Seligman Ventures with participation from Sierra Ventures and 3one4 Capital, bringing total funding past $21 million.
- Smallest.ai's voice model is engineered to listen, think, and speak simultaneously — mirroring how humans converse — rather than waiting to receive a full prompt like a text LLM.
- When queries fall outside its knowledge base, Smallest.ai hands off to a large foundational model and briefly places the customer on hold to "research" the issue, simulating human behavior.
- Smallest.ai's existing customers include RingCentral and Truecaller, and CEO Sudarshan Kamath named every customer support company — including Sierra and Decagon — as potential buyers.
- Smallest.ai competes with ElevenLabs, Cartesia, and regional players like India's Sarvam, but focuses strictly on real-time conversational voice agents rather than audio dubbing or podcasting.
- CEO Sudarshan Kamath said the company's stated goal is to "break the Turing test" — making AI voice indistinguishable from a human on the other end of the call.
Why it matters: Smallest.ai is explicitly carving out a layer of the voice stack — small, real-time conversational models — that customer support giants like Sierra and Decagon would rather buy than build, framing voice excellence as "a distraction from their core business." With RingCentral and Truecaller already as customers and $21 million in total funding, the startup is positioning itself as the default voice layer underneath the broader AI agent ecosystem.
