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How to prevent voice agent failures: A post-call audio analysis guide
When voice agents fail, audio is often the blind spot. Tyto brings observability to the audio layer, helping teams diagnose issues across every call.
Behind VAD 2.1: How we built our drive-thru benchmark
Synthetic noise can't replicate a real drive-thru. Here's how our recording team built the dataset that pushed VAD 2.1 the hardest.
Tyto 1.1: Sharper audio insight for every call
Tyto 1.1 delivers faster, more accurate audio-risk detection for the degraded call conditions that silently break speech-to-text and turn-taking in production voice agents.
Introducing VAD 2.1: Speech detection that holds up where production audio gets hard
VAD 2.1 delivers more reliable speech detection in the noisy, real-world conditions where production voice agents struggle most.
Introducing VAD Voice Focus 2.0: Voice activity detection for the primary speaker only
Built for production voice AI, VAD Voice Focus 2.0 triggers only on the primary speaker, ignoring background voices, TVs, and cross-talk that break classic turn-taking.
Introducing Quail Voice Focus 2.2: Primary speaker isolation in every situation
Built for production voice AI, Quail Voice Focus 2.2 delivers more robust speaker isolation across near-field, far-field, and multi-speaker scenarios.
Phonely x ai-coustics: Speaker isolation and audio insight for production Voice AI
See how Phonely improved transcription accuracy and qualification outcomes at scale with ai-coustics, treating audio quality as a core part of its voice AI infrastructure.
Introducing Tyto: Audio Insight into every call for Voice AI teams, at scale
Tyto helps voice AI teams identify audio issues before they become agent failures, with real-time and post-call insights into noise, packet loss, reverb, and more.
Engineering production grade voice agents with PolyAI and ai-coustics
Voice AI's hardest problem isn't sounding human - it's reliably hearing one. With ai-coustics, PolyAI cut false barge-ins by 40% and short-utterance failures by 30%.
