Hume AI
Hume AI provides an evaluation platform for voice AI that finds failing conversations, diagnoses causes and measures tone, timing and emotional expression.
About this tool
Hume AI focuses on how people experience conversations with voice AI. Its platform identifies conversations where a voice system fails, diagnoses why, and feeds those failures into a continuous improvement loop. Hume argues that a task can succeed while the conversation still feels wrong, because people assess voice assistants on tone, pacing, emotion, how interruptions are handled, accents, context and adaptability.
VoiceEQ mines a company’s real conversations to find use cases, then produces focused test cases along with scenarios and pass criteria. Teams can stress-test their voice AI, diagnose failures and validate improvements in one evaluation platform, turning real-world usage into evaluation suites rather than relying only on task completion metrics.
What you can do
VoiceEQ
Turns real conversation data into use cases, test cases and success criteria.
Stress testing
Generate targeted tests that probe how a voice system handles difficult conversations.
Failure diagnosis
Identify why conversations break, from timing to emotional tone.
Improvement loop
Feed findings back into development and validate fixes.
Who is it for?
- A voice agent team discovers why customers hang up despite tasks being completed.
- A product team tests how its assistant handles interruptions and accents.
- A QA team validates that a new model version improves conversational quality.
Before you choose
Hume is an evaluation tool for builders of voice AI, not an end-user assistant.
Evaluation quality depends on representative conversation data; plan data access and privacy reviews.
Frequently asked questions
What does Hume AI do?
Hume AI offers a platform to evaluate voice AI, finding conversations that fail, diagnosing why and measuring human-centred qualities.
What is VoiceEQ?
VoiceEQ studies conversation data, finds the main use cases and turns them into test cases, scenarios and pass criteria.
Who should use Hume AI?
Teams building or operating voice agents and assistants who need to measure and improve conversational quality.
Check the official website for current features, pricing, and terms.
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