Launching today

Benten

Launching today

Voice AI Agents Audio Evaluation & Telemetry Platform

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Voice AI Agents Audio Evaluation & Telemetry Platform

1 follower

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Benten is an audio evaluation and analytics platform built specifically for Voice AI agents. It connects directly to voice AI platforms to discover your agents, process call audio, and measure conversation quality, non-intrusive speech quality (NISQA MOS), response latency, and speech dynamics.

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Launch tags:GitHub•Data & Analytics•Data Science

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What is Benten Unlike standard LLM evaluation tools that only analyze text transcripts, Benten evaluates the complete acoustic and conversational performance of human-to-agent voice calls. When a customer speaks with a Voice AI agent, Benten measures key acoustic and speech metrics: Turn Latency: Response delay (in ms) from user speech termination to agent voice playback. Speech Quality (NISQA MOS): Deep learning Non-Intrusive Speech Quality Assessment scoring (1.0 to 5.0 MOS). Dead Air Percentage: Unintended silent pauses during the call session. User Interruptions: Occurrences where the customer interrupts or speaks over the agent. Health Score: Calculated conversation quality score (0 to 100) combining acoustic telemetry, sentiment, and flow.

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17h ago