Devon Malloy

Universal-Streaming - Ultra-fast, ultra-accurate streaming STT for voice agents.

Universal-Streaming delivers all the streaming speech-to-text voice agents need in one robust API: ultra-fast immutable transcripts, higher accuracy, built-in endpointing, and transparent pricing at $0.15/hour with unlimited concurrency.

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Devon Malloy
Six months ago, we launched Universal-2 to tackle last-mile accuracy in speech recognition—today, we’re excited to introduce Universal-Streaming, our purpose-built, real-time speech-to-text model designed specifically for voice agents. Universal-Streaming isn’t just fast—it’s a game-changer for real-time apps: ⚡ ~300ms immutable transcripts with no partial/final tradeoff 🧠 Intelligent endpointing that smooths out awkward pauses and interruptions 🔒 Accurate on the tokens that matter—emails, codes, names 🌎 Unlimited concurrency at just $0.15/hr with no surprise fees And it’s not just about the benchmarks—developers building real-world voice agents are already seeing the difference: more natural interactions, higher task completion, and easier scaling from 5 to 50,000+ concurrent users. Whether you're shipping AI assistants, realtime transcription tools, or something entirely new—Universal-Streaming gives you the power to build voice products your users will actually love to talk to. We can’t wait to see what you build—try it out and tell us what you think!
Alex Redfern

@devon_malloy congrats on the launch. Couple of Qs: 1) which languages does it support? 2) do you have benchmark data by language vs 11labs Scribe and Deepgram Nova-3? Couldn't find answers to either.

Marat Zainullin

Hey, AssemblyAI Team,
I’ve been working on a fully offline, on-device streaming ASR engine for iOS.
Would love to get feedback or benchmark ideas!

If anyone's curious to try it on their device, I’m happy to add you to TestFlight — just DM me.
https://github.com/make1986/ios-streaming-asr-offline