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Top Voice AI companies are building with Assembly.
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Latest Release
Universal 3.5 Pro
Our new flagship speech-to-text model handles real-world audio the way it actually happens. Available for real-time and pre-recorded audio.
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Turn every call into structured insight—accurate transcription, speaker labels, sentiment, entity detection, and summaries from a single API.
Thanks for hopping on—I know things are busy over at Northwind right now.
No problem. We're mainly trying to cut onboarding time below 30 days.
Got it. Most teams your size get that down to about two weeks with us.
Speaker diarization separates each voice so talk ratios, sentiment, and coaching map to the right person—even through interruptions.
Get sentiment, entity detection, topic detection, and summaries from the same transcript request—no separate NLP pipeline to stitch together.
Use LLM Gateway to generate coaching scorecards, call summaries, and custom insights directly from a transcript, with no model providers to manage.
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
One request returns a transcript with speaker labels, sentiment, and entities already attached. Add LLM Gateway to turn that transcript into summaries or scorecards—no model hosting to manage.
Start building freeNo credit card required
Missed entity rate is the share of names, companies, numbers, and key terms the model drops or garbles—exactly what conversation intelligence is built to surface.
Missed entity rate on conversational audio.
*Lower is better*Source: AssemblyAI published benchmarks — assemblyai.com/benchmarks.
