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Benten
Voice AI Agents Audio Evaluation & Telemetry Platform
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.
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.
About Benten on Product Hunt
“Voice AI Agents Audio Evaluation & Telemetry Platform”
Benten was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #251 on the daily leaderboard. 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.
On the analytics side, Benten competes within GitHub, Data & Analytics, Data Science and Data Visualization — topics that collectively have 55.1k followers on Product Hunt. The dashboard above tracks how Benten performed against the three products that launched closest to it on the same day.
Who hunted Benten?
Benten was hunted by Ravi Raushan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Benten including community comment highlights and product details, visit the product overview.
Ravi Raushan