smallest.ai

@smallest_AI

Real-time Voice AI. Built for Scale.

San Francisco

smallest.ai/?utm_source=tw…

Joined September 2023

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smallest.ai
@smallest_AI
Jul 31
A huge thanks to our customers, partners, investors, and the team. We're just getting started.
Sudarshan Kamath
@kamath_sutra
Jul 31
We have passed the Turing test for Voice AI and raised $13M in Series A funding to bring the next generation of Voice to enterprises.
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smallest.ai
@smallest_AI
23h
Most STT models struggle with short utterances. Some miss the word. Others guess it. Short utterances happen constantly in real calls. “Yes.” “No.” “Okay.” “Wait.” “Four.” They can be less than 300 milliseconds long, spoken between pauses, over background noise, or while the
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smallest.ai
@smallest_AI
Sep 6
Lightning v3.1 Pro is the most human TTS ever built. The person on the other end doesn’t care about the model. They care whether the conversation feels natural. So we fine-tuned Lightning v3.1 Pro for the details that make speech feel human: where a pause lands, which word
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smallest.ai
@smallest_AI
Sep 5
STT that knows when to say nothing Most STT systems struggle with silence. They invent words to fill the gap, like “Yes, go ahead.” Now your agent has an input the caller never gave. We tested silence handling across four silence positions with a strict pass rate: does the
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smallest.ai
@smallest_AI
Sep 4
World’s best STT for your accents. Every caller has their own accent. Most STT models weren’t built to handle all of them equally well. Real callers don’t speak like training data. They speak Scouse. AAVE. Indian English. Nigerian English. Glasgow. Lagos. Chennai. Birmingham.
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