Smallest.ai raises $13M to build ultra-fast voice AI that sounds genuinely human
Smallest.ai, a startup founded in late 2024, raised $13 million in a Series A round to develop a small, real-time voice model that mimics human conversation. The company’s approach combines a fast, specialized voice model with a fallback to larger foundational models for complex queries, aiming for virtually zero response lag. Its early customers include RingCentral and Truecaller, and it competes with firms like ElevenLabs and Cartesia in the voice AI market.
- ▪Smallest.ai secured $13 million in Series A funding led by Seligman Ventures, bringing total capital to over $21 million.
- ▪The startup’s technology uses a small voice model that processes listening, thinking, and speaking simultaneously to reduce latency in conversations.
- ▪When the voice model encounters topics outside its knowledge base, it hands off the query to a larger LLM, similar to a human putting a caller on hold.
- ▪Existing enterprise customers such as RingCentral and Truecaller are using the model for real-time conversational support.
- ▪Smallest.ai positions itself against competitors like ElevenLabs, Cartesia, and regional players focusing on voice AI for specific languages.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/07/31/smallest-ai-raises-13m-to-build-ultra-fast-voice-ai-that-sounds-genuinely-human/ |
| Publication time | Fri, 31 Jul 2026 14:47:11 +0000 |
| Retrieval time | 2026-07-31T14:48:03.813Z |
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Opening excerpt (first ~120 words) tap to expand
While AI agents are increasingly capable of solving customer support problems, most people can still tell immediately when they’re talking to a machine instead of a human. Smallest.ai, a startup founded in late 2024, is betting the next leap in voice agents will not come from making large language models faster, but from using smaller, specialized models built for human conversation. Simply put, the company wants to make speaking to an AI agent indistinguishable from talking to a human. To do so, it’s developing a small voice model designed to mimic how humans process information by listening, thinking, and speaking simultaneously.
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