# Smallest.ai raises $13 million Series A for real-time voice AI with near-zero latency

> Smallest.ai has raised a $13 million Series A led by Seligman Ventures, with Sierra Ventures and 3one4 Capital joining, bringing total funding to around $21 million. The company builds voice AI designed to sound genuinely human by cutting latency close to zero. Its technical angle is the interesting part. Rather than the usual listen, then think, then speak pipeline that creates awkward pauses, its models are built to listen, think, and respond at the same time, the way people actually converse. That approach is meant to handle diverse accents, work across multiple languages, and hold up in noisy environments, handing off anything it is unsure about to larger models. Founded in late 2024 by Sudarshan Kamath, the startup already counts customers like RingCentral and Truecaller. Real-time voice is one of the hardest and most commercially valuable frontiers in applied AI right now, because even small delays break the illusion of a natural conversation. If Smallest.ai can keep that latency low at scale, it is playing in a space with obvious demand from anyone running phone support or voice interfaces.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: TechCrunch · Published Thursday, August 6, 2026_

## Wortins' read

Smallest.ai has raised a $13 million Series A led by Seligman Ventures, with Sierra Ventures and 3one4 Capital joining, bringing total funding to around $21 million. The company builds voice AI designed to sound genuinely human by cutting latency close to zero. Its technical angle is the interesting part. Rather than the usual listen, then think, then speak pipeline that creates awkward pauses, its models are built to listen, think, and respond at the same time, the way people actually converse. That approach is meant to handle diverse accents, work across multiple languages, and hold up in noisy environments, handing off anything it is unsure about to larger models. Founded in late 2024 by Sudarshan Kamath, the startup already counts customers like RingCentral and Truecaller. Real-time voice is one of the hardest and most commercially valuable frontiers in applied AI right now, because even small delays break the illusion of a natural conversation. If Smallest.ai can keep that latency low at scale, it is playing in a space with obvious demand from anyone running phone support or voice interfaces.

## Source

[Read the full story at TechCrunch](https://techcrunch.com/2026/07/31/smallest-ai-raises-13m-to-build-ultra-fast-voice-ai-that-sounds-genuinely-human/)

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