Hume AI
Evaluation and data infrastructure for emotionally intelligent voice AI.
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Profile record updated:
Company facts
- Official name
- Hume AI, Inc.
- Entity type
- COMPANY
- Founded
- 2021
- Headquarters
- United States
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- hume.ai
What Hume AI does
Hume AI operates a B2B software and data infrastructure model for voice AI developers and enterprises. It creates value by helping customers evaluate, simulate, benchmark and improve conversational AI systems using proprietary APIs, hosted tooling, human feedback workflows and custom dataset services. The software layer supports ongoing testing and regression management, while the data and human evaluation layer improves model quality and trust. This combination makes Hume AI part SaaS platform, part API infrastructure and part specialist managed data service provider.
Category differentiation
Hume AI is not a consumer voice assistant or a foundational LLM provider. It sells B2B evaluation, human feedback and data infrastructure for teams building voice AI systems.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Hume AI, Inc. is a private US software company that provides evaluation, simulation, expression measurement and human-feedback infrastructure for voice AI systems. Its product set includes Kairos Simulate + Evaluate for testing and regression tracking, an Expression Measurement API for analysing emotional and expressive signals in speech, a Human Feedback API for rapid human scoring, and custom data services for training and evaluation. The company serves voice AI engineers, machine learning teams, researchers and product teams building conversational systems. Hume AI generates revenue through a mix of software subscriptions, usage-based API billing and custom enterprise or managed data engagements. Its commercial position is centred on becoming the data and evaluation layer for emotionally intelligent voice AI rather than a consumer application or foundation model provider. The business sells directly to organisations building voice agents and speech systems that need better evaluation quality, benchmark comparability and human-grounded training data.
Business model & monetisation
Hume AI monetises through tiered SaaS subscriptions for hosted evaluation products, usage-based pricing for APIs, and service fees for bespoke data collection and dataset generation. Enterprise contracts add custom pricing for higher-scale deployments, advanced workflows and tailored support. The Human Feedback API also supports managed-service style revenue tied to evaluation tasks and turnaround requirements.
- Hosted evaluation platform subscriptions
- Software subscription
- Expression and evaluation API usage
- Pay-per-Use
- Human Feedback API engagements
- Service Fee
- Custom data collection and dataset generation
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
No sufficiently sourced and dated signals are available for this view.
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Questions about Hume AI
What is Hume AI?
Hume AI is a private B2B software company that provides evaluation, simulation, expression measurement and human-feedback infrastructure for voice AI systems.
Who uses Hume AI?
Voice AI engineers, machine learning teams, AI researchers and product teams use Hume AI to test, benchmark and improve conversational systems.
How does Hume AI make money?
Hume AI makes money through software subscriptions, API usage-based pricing and paid custom data and human evaluation services.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
18 publicly documented primary sources and citations linked across the market graph.
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