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Gradium is out of stealth to solve voice. We raised $70M and after only 3 months we’re releasing our transcription and synthesis products to power the next generation of voice AI.
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Gradium
133 posts
Gradium
@GradiumAI
The voice layer for modern apps and agents. Real-time, scalable voice APIs: TTS, STT, turn-taking & voice cloning. Devs: build → gradium.ai/#models
Joined September 2025
- ¡Hola Barcelona☀️Next speaker are @ConstanceGriso and Timothé from @GradiumAI talking about Phonon, their on device model Really cool demo
- We upgraded Gradium TTS for the cases voice agents can't get wrong: phone numbers, codes, email addresses read back right the first time. Couple of examples: English: 97% on emails, top of the field. French: leads every competitor we benchmarked. Samples + methodology →
00:00 - In this joint work with @kyutai_labs, we design a reward model for conversational dynamics to teach full-duplex models how a human behaves in conversation, using cues to know when to interrupt, backchannel or stay silent.New paper: Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models We use RL to post-train speech models (Moshi and PersonaPlex) to talk more like a human: to know when to respond, when to wait, and when to nod along with “yeah”s and “okay”s when listening.
00:00 - We'll be at @VivaTech next week showcasing our models. Come find us at Booth 7.2 | 2F13 with @awscloud all week, and on the @LaFrenchTech booth on Wednesday. @neilzegh is giving two talks: Wed 17th, 5:20pm, @nvidia Stage 1 and on Fri, 10am, Théâtre AWS
- Learn how to build an audiobook voice agent using Gradium and @pipecat_ai Gradium's TTS handles the narration and Pipecat's built-in WebRTC transport delivers the audio to the browser.
00:00 - Reasoning LLMs typically take 2-3 seconds to start emitting tokens. In a voice agent, that's 2-3 seconds of silence after the user finishes speaking. The @MiniMax_AI team just shipped a community contribution to Gradbot with two models running in parallel. MiniMax-M2-her
- A full house at the @joinhexa office in Paris yesterday. Our CTO @olivierteboul joined the discussion by sharing why low latency matters for voice agents and how Gradium models support enterprise use cases for voice AI.
- "I'd like to cancel my flight from Boston to..." You pause to check a date. The agent cuts in: "Got it, where to?" Now you're talking over it to finish your own sentence. That's acoustic turn detection. Semantic VAD waits because it knows you're not done: gradium.ai/blog/semantic-…
- Gradium reposted
Yesterday we hosted our first Voice AI Dinner in Berlin. Where should be the next one?
- Gradium reposted
👉 slator.ch/Conversational… At SlatorCon London, we discussed voice #AI capabilities and deployments, and how voice AI 🗣️🤖 is shifting the operational infrastructure ⚙️ of enterprises with Neil Zeghidour, Co-Founder and CEO at @GradiumAI, Arkadiusz Kwapiszewski, Head of Agent - Gradium reposted
Berlin was geht ab, Tavily ist jetzt in town! We're here with @GradiumAI showing off our new voice integration and hosting a hackathon alongside @nebiusai and @cursor_ai. You won't want to miss this one. - Replying to @GradiumAIint8 quantization, no audible quality loss. Lower memory, faster inference. All on-device. gradium.ai/blog/phonon-up…
