Rank #409Contact for pricing

Hume AI

The data and evaluation layer for emotionally intelligent voice AI

74Overall
score
ToolsRank verdict

Hume AI suits research and engineering teams developing or tuning voice agents, text-to-speech, or speech-to-speech models that need systematic expressivity and dialogue evaluation. It is not intended for end users or creators looking for an out-of-the-box voice generator or consumer voiceover tool.

Sources captured Sep 8, 2026 · First listed Sep 23, 2026 · Methodology v1.1 · Vendor pricing can change

Listed dossier. Drafted from the vendor's official pages with AI assistance and published under the automatic listing rules; an editor has not reviewed it yet. Every claim links to its source below. Report an error or read how listing works.

Direct answer

What is Hume AI?

Hume AI provides an evaluation, simulation, and data platform for building emotionally intelligent voice AI systems, featuring real-time expression measurement and human evaluation APIs.

Hume AI is an AI platform built to measure, simulate, and evaluate conversational voice systems. Anchored in research on multimodal emotional intelligence, the platform addresses speech recognition, speech understanding, text-to-speech (TTS), and speech-to-speech (STS) models. The platform consists of four primary products: Data Solutions for custom dataset collection; Kairos for scenario simulation, agent-to-agent and human-to-agent conversation testing, and regression tracking; the Expression Measurement API for tracking vocal expressions across 48+ emotions and 600+ voice descriptors in 50+ languages; and the Human Feedback API for acquiring structured evaluations and free-response feedback from pre-screened human raters. Additionally, Hume AI maintains public benchmarks, including the Real World VoiceEQ benchmark and the SLM Judge leaderboard, to assess voice model quality and automated evaluators against human ground truth.

What makes it different

Unlike evaluation platforms that focus solely on text transcripts and word error rate, Hume AI assesses vocal delivery, flow, and emotional intelligence using 48+ emotion categories, 600+ voice descriptors, and rapid human-in-the-loop ratings via an API.

Product capabilities

Key features

✦

Kairos Simulation & Evaluation

Builds evaluation suites from real-world scenarios, simulates agent-to-agent and human-to-agent conversations, and tracks performance regressions over time.

✦

Expression Measurement API

Measures vocal expression in real time or offline across 48+ emotion categories, 50+ languages, and 600+ acoustic voice descriptors.

✦

Human Feedback API

Dispatches audio samples to pre-screened human raters using a single API call to receive per-sample ratings, qualitative feedback, and aggregated analysis in hours.

✦

Data Solutions

Provides custom data collection designed around specific operational scenarios, use cases, and bespoke model evaluation criteria.

✦

RW-Voice-EQ Benchmark

A benchmark evaluating leading voice AI models across recognition, understanding, expression, and conversation, ranked by human judgment.

✦

SLM Judge Leaderboard

A leaderboard tracking which small language models most accurately mirror human ratings when serving as automated judges.

Workflow

How Hume AI works

  1. Select or collect audio datasets using Hume AI's Data Solutions for targeted conversational scenarios.
  2. Simulate agent interactions in Kairos to identify edge-case failures and track behavioral regressions.
  3. Stream audio through the Expression Measurement API to capture real-time emotion scores and acoustic metrics.
  4. Submit audio candidates to the Human Feedback API to collect human quality and expressiveness scores in hours.

Practical fit

Who should use Hume AI?

Voice AI researchersConversational AI developersSpeech model evaluation teamsProduct teams building voice agents
01

Voice Agent Regression Testing

Simulate end-to-end dialogues in Kairos to identify conversational breakdowns and monitor quality regressions across model updates.

02

Expressivity and Tone Evaluation

Analyze whether text-to-speech and speech-to-speech models deliver different types of dialogue with appropriate tonal variation and emotional resonance.

03

Real-Time Emotional Telemetry

Integrate expression measurement into live voice applications to detect caller emotional reactions and track customer sentiment changes.

04

Fast Human-in-the-Loop Benchmarking

Submit speech model outputs through the Human Feedback API to collect validated human ratings within hours rather than days.

Editorial assessment

Pros and limitations

Where it is strong

  • Evaluates vocal emotional nuance using 48+ emotion categories and 600+ voice descriptors.
  • Combines automated scenario simulations (Kairos) with fast-turnaround human rating APIs.
  • Multilingual support spanning over 50 languages.
  • Publishes transparent benchmarks comparing voice models and automated SLM evaluators.

Where to be careful

  • Pricing is not publicly listed and requires contacting the vendor.
  • Geared toward developers and researchers rather than non-technical creators wanting plug-and-play voiceovers.

Commercial context

Hume AI pricing

Starting fromContact sales

At the review date (September 2026), Hume AI does not publish public pricing tiers on its website. Access to data solutions, evaluation tooling, and APIs requires contacting their team or signing in to the platform.

Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.

Transparent ranking

Why Hume AI scores 74

Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.

Editorial quality78
Practical utility76
Trust & transparency80
Freshness82
Engagement quality7
Momentum100
See weights, tie-breakers, and governance →

Compatibility

Languages, platforms, and integrations

Languages

  • English
  • Multilingual (50+ languages supported)

Platforms

  • Web
  • API

Integrations & surfaces

  • REST API
  • WebSocket

Community

Reviews and questions

No approved member reviews yet. Editorial factors above are the only rating on this page.

Reviews and questions come from Google-signed members and are checked by an editor before they appear.

Frequently asked

Hume AI FAQ

What is Hume AI?+

Hume AI is an evaluation and data platform designed for voice and conversational AI. It combines speech expression measurement, multi-agent conversation simulation, and human evaluation APIs to help developers build emotionally intelligent voice systems.

What does the Expression Measurement API measure?+

The Expression Measurement API analyzes acoustic signals across 48+ emotion categories and over 600 voice descriptors in more than 50 languages, supporting both real-time streaming and offline audio processing.

How does the Human Feedback API work?+

The Human Feedback API allows developers to trigger human evaluation studies through a single API request. Audio is routed to pre-screened human raters who provide per-sample scoring, qualitative notes, and aggregated results in hours.

What is the Kairos platform?+

Kairos is Hume AI's simulation and evaluation product. It automatically creates scenarios, executes agent-to-agent and human-to-agent conversational tests, and tracks model regressions over time.

Where is Hume AI located?+

According to the company's privacy policy, Hume AI, Inc. is based at 51 Madison Ave, Floor 31, New York, NY 10010, USA.

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