10 人团队 Phonic 发布语音模型 Phonic-1，称可在通话中并行查询与预订
A 10-person startup Phonic has released Phonic-1, which it says is the only voice model that can run lookups and bookings while the caller is still mid-sentence
10 人创业公司 Phonic 发布语音模型 Phonic-1，称其能在通话者尚未说完时执行查询和预订。该模型在 Artificial Analysis 语音到语音榜单以 87.1 分居首，比 xAI 的 Grok Voice 3.0 高 0.2 分，客服任务完成率 79.9%，首音频延迟 0.61 秒。Phonic 称其在 Cekura 通话测试集得 90.2 分，但 Cekura 公开榜单列出的 Phonic v1 为 68.3%；公司已完成由 First Round 领投的 2750 万美元 A 轮融资，累计融资 3150 万美元。
查看原帖隆重推出 Phonic-1，这是面向智能体任务的最先进语音到语音模型——来自 @phonic_co，这家语音到语音模型公司。 我们迎来了突破性的一年，完成了由 @firstround 领投的 2750 万美元 A 轮融资，@Lux_Capital、@felicis 和 Definition 参投。https://t.co/syYLXbQ4lL
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Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition. https://t.co/syYLXbQ4lL
正文
A 10-person startup Phonic has released Phonic-1, which it says is the only voice model that can run lookups and bookings while the caller is still mid-sentence.
> First on Artificial Analysis’s speech-to-speech index at 87.1, just 0.2 points above xAI’s Grok Voice 3.0, completing 79.9% of customer-service tasks with 0.61 seconds to first audio.
> Phonic-1 calls tools while the caller is still talking; in the demo it finished 5 lookups mid-speech and replied 1.1 seconds after the caller stopped, versus 15.7 seconds for OpenAI’s GPT-Live.
> Phonic reports 90.2 on Cekura’s call suite, beating a transcribe-think-speak cascade at 82.9% that outscores every ranked speech-to-speech model there, though Cekura’s public board lists Phonic v1 at 68.3%.
> They raised a $27.5M Series A led by First Round, taking total funding to $31.5M, and Phonic already powers Ashby’s AI job interviews in 25 countries.
https://t.co/laxOzIhDwx