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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.
another benchmark Phonic-1 tops!
there's a new #1 voice agent on VAmoS Bench 🥇
we benchmarked @phonic_co's Phonic-1 on ultra-realistic voice simulations from @veris_ai
TLDR;
-> 57.5% pass rate (next best: ~45%)
-> $0.20 per call (middle of the pack)
-> strong in street / cafe noise; TV still hard
🧵/
Phonic retweeted
A 10-person team just built the #1 speech-to-speech model on @ArtificialAnlys , ahead of OpenAI, Google and xAI.
@phonic_co built Phonic-1 by fixing what breaks on real customer calls.
Build the best model for customers and you get the best model, full stop.
Congrats team!
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.
Phonic retweeted
This is super cool stuff (unrelated to the fact that I invested and it's running on Modal lol) – genuinely think speech-to-speech is going to be massive over the next year, and Phonic's model is very good.
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.
Phonic retweeted
Phonic’s Phonic-1 is the new leading Speech to Speech model with a 90.2% pass rate on the @cekuraAi Speech-to-speech model benchmark.
It has the highest success rates on both categories and is the only startup in the top five, beating out models from OpenAI, Grok and Google.
Very impressive work by the Phonic team (@phonic_co) - congratulations on the model!
Full results: benchmarks.cekura.ai/speech-…
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.
Phonic-1 from @phonic_co is available in LiveKit Agents on Day 0.
It's #1 on the Artificial Analysis Speech to Speech Index and built for long calls with dozens of tool calls.
Try it out for your agents in one line of code: docs.livekit.io/agents/model…
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.
Phonic retweeted
Speech-to-speech models have traditionally sacrificed intelligence. Phonic-1 from @phonic_co is the most advanced speech-to-speech model for agentic tasks, running highly challenging calls across six continents.
Trained and served on Together AI. Congrats to the Phonic team!
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.
Phonic takes gold on Tau Voice English!
Its the first time that a model not produced by one of the big labs (openai/xai/gemini) has come out on top. Congrats to @NikhilKMurthy, @moinnadeem and the Phonic team, this is huge!
Phonic-1: lnkd.in/p/gfPHZztN
Leaderboard: taubench.com/leaderboard/?be…
Phonic retweeted
Phonic's Phonic 1 (High) is the new leading Speech to Speech model, debuting at #1 on the Artificial Analysis Speech to Speech Index at 87.1, while also leading on agentic performance and being competitive on latency
Phonic 1 is @phonic_co 's Speech to Speech model, available through the Phonic API at $0.07 per minute. We evaluated Phonic 1 at its high intelligence level through the Phonic API.
Key takeaways:
➤ Speech to Speech Index: #1 of 22 at 87.1, ahead of Grok Voice 3.0 (86.9) by a very small margin. The Index averages Speech Reasoning (Big Bench Audio), Agentic Performance (Tau Voice), Arena Preference and Task Success Rate
➤ Speech Agent Arena: #8 of 30 on preference (Elo 1012) and #4 on Task Success Rate (92.3%)
➤ Tau Voice: #1 at 79.9%, a clear lead of 5.4 points over the next model
➤ Big Bench Audio: #3 at 98.9%, behind StepAudio 3 Realtime (99.7%) and Qwen Audio 3.0 Realtime Plus (99.2%)
➤ Speed: #4 on Time to First Audio at 0.61s, and the fastest of the top 5 models in the Index
➤ Cost: $4.20 per hour of input audio
Congrats to the @phonic_co team 🚀
See below for more detail ⬇️
Phonic retweeted
A few years ago, Moin and I were driving down 280 and talking about building something in voice AI. We were excited by the future with models that could truly understand and naturally speak with us, and it felt obvious to me at the time that these models, like us, needed to take in and output audio. It turns out this is an extremely hard thing to build, but I’m so proud of the Phonic team for taking us a step closer in that direction with Phonic-1.
Few lessons I learned:
1. Intelligence cannot be traded off for low latency or naturalness: the most valuable workloads in voice are intelligence bottlenecked (multi-step tool calling, instruction following and long context understanding)
2. Real calls are the ultimate benchmark. Whenever I sit with a customer and listen to their calls, I always find new failure modes and learnings that help us build at the frontier.
3. Reliability is everything. A voice call going silent or dropping is truly an awful experience, and you can’t just retry a request (like coding agents). We had to think about our infra from the ground up for reliability.
We’re so excited to release Phonic-1. It’s a really great model across intelligence, latency and naturalness, and already making a huge impact with our customers. And so much more in store to come!
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.
Phonic retweeted
Our intern, a freshman at MIT: "Heads up, I reduced cold starts by 50% today"
Me: "it's your third day, right?"
Him: "yeah"
This is going to be such a wonderful summer.
Phonic retweeted
Who are some of the best infrastructure & product engineers that you know? @phonic_co is rapidly hiring across several roles!
Thanks for having us @nebiusai @skypilot_org!
SkyPilot AI Infra Meetup with @nebiusai - a night to remember! 🙌
Huge thanks to everyone who joined us - packed room, amazing energy, and inspiring conversations on next-gen AI infra 💥
Shoutout to our friends from @nvidia (@HemilDesai10), @phonic_co (@NikhilKMurthy) for sharing their insights, and to the Nebius team (Abby Struebing, @MarkieshaTweets, @brianlechthaler, @bb_turing_ai) for being an incredible partner in making it happen!
Excited to continue building this community and to make AI infra easy and scalable! 🚀
Hear it from @shalabi yourself -- Phonic gives Maven the speed and natural flow that real conversations need.
Excited to partner with @MavenAGI on their voice AI launch!
Maven Voice understands your problem, your language, your accent, and responds like a real support agent. We’ve tested it in subways, airports, and stadiums so it adapts like a seasoned pro.mavenagi.com/resources/post/…
Phonic retweeted
Maven Voice is our enterprise-grade AI voice agent built for the chaotic, noisy and unpredictable situations we encounter everyday.
Thank you to @OpenAI, @phonic_co, @elevenlabs, and @cartesia for helping make this possible. mavenagi.com/resources/post/…
Phonic retweeted
Maven Voice is here! The first enterprise-grade voice AI agent built for real-world conversations.
Ready for production today in partnership with @OpenAI, @phonic_co, @elevenlabs, and @cartesia.
More on Maven Voice: mavenagi.com/resources/post/…
Phonic retweeted
🔥@nvidia & @phonic_co are speaking at the SkyPilot AI Infra Meetup!
Learn from the best as @HemilDesai10 dives into training models at scale with NeMo and @nikhilkmurthy shares how they built a next-gen voice AI platform.
📆 Aug 14, 5:00 PM | SF
👉 lu.ma/q1rfsjxk
Phonic retweeted
had a fun time talking about what Phonic has been working on at the SF Voice AI meetup yesterday - stay tuned for some exciting releases soon 👀👀
if you are building in the voice agent space and are frustrated by lack of conversationalness, latency or reliability, please reach out :)
thanks @kwindla for moderating and @trychroma for hosting us in their space!
Phonic retweeted
Standing room only at last night's voice AI meetup. So much hype in this space!
Thanks @trydaily , @modal_labs , and @trychroma for hosting and Kunal Dhawan from @nvidia , Nikhil Murthy from @phonic_co , Charles Frye from @modal_labs , Kwindla Hultman Kramer from @trydaily , Pavankumar Reddy M from @MistralAI for an incredible panel.































