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Smallest.ai is pivoting away from scaling massive language models toward specialized, low-latency architectures designed to eliminate the unnatural pauses typical of current voice agents. By employing a small, real-time model for conversation that offloads complex queries only when necessary, the startup aims to achieve human-like responsiveness in AI phone calls without relying solely on brute-force compute power.
Source coveringTechCrunch
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Smallest.ai raises $13M to build ultra-fast voice AI that sounds genuinely human

TechCrunch3 min read

The startup is building voice models designed to make AI phone calls pass the Turing test.

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…

Excerpt shown under the publisher's RSS terms · 58 words · full text and figures are on the publisher's site

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