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Ultra-low-latency, real-time voice AI and text-to-speech built on state space models
Emotionally intelligent voice AI with an empathic interface and expression measurement, built for developers.
Hume AI stands out for grounding its voice models in genuine emotion-science research, making it a strong pick for teams who need empathic, expression-aware voice rather than just natural-sounding TTS. Usage-based, per-minute pricing keeps entry cheap but scales with volume.
Hume AI is an emotionally intelligent voice AI platform whose Empathic Voice Interface (EVI), Octave TTS, and Expression Measurement API let developers build conversational agents that detect and respond to emotion in real time. It is grounded in emotion-science research covering 48+ emotions and 50+ languages, and sold through usage-based, per-minute and per-character APIs. A free tier and low-cost paid plans make it accessible to individual developers as well as enterprise voice teams.
Hume AI is a New York-based AI research company building tools that give voice and conversational AI emotional intelligence. Its flagship Empathic Voice Interface (EVI) is a speech-to-speech model that measures vocal expression and adapts its own tone in real time, while the Octave text-to-speech models generate expressive, controllable voices and the Expression Measurement API analyzes emotion across 48+ categories and 50+ languages. The platform is aimed squarely at developers and voice AI teams, delivered through APIs and SDKs with usage-based pricing. More recently Hume has expanded into evaluation and data tooling, including the Kairos simulation platform, a Human Feedback API, and public Voice AI leaderboards, positioning itself as both a builder and a measurement layer for human-quality voice AI.
Hume AI is an emotionally intelligent voice AI platform whose Empathic Voice Interface (EVI), Octave text-to-speech, and Expression Measurement API let developers build agents that detect and respond to human emotion in real time. It is grounded in decades of emotion-science research spanning 48+ emotions and 50+ languages. Pricing is freemium and usage-based, with a free tier and paid plans from $3/month up to custom Enterprise. It targets developers and voice AI teams rather than end consumers.
Hume AI, Inc. is a New York-based artificial intelligence research company focused on measuring and integrating human emotional expression into technology. It was founded by Alan Cowen, a former Google DeepMind researcher and computational emotion scientist, and its work draws on large-scale research into how emotion is expressed across voice, face, and language. The company positions itself as building 'AI with emotional intelligence to create technology that truly understands humanity.'
Beyond its voice models, Hume has expanded into an evaluation and data layer for voice AI, offering the Kairos simulation platform, a Human Feedback API backed by real human raters, custom data-collection solutions, and public leaderboards such as Real World VoiceEQ Bench that rank voice AI models by human judgment.
Hume's core products are the Empathic Voice Interface (EVI), a speech-to-speech model that measures vocal expression and modulates its own responses; Octave (versions 1 and 2), expressive and controllable text-to-speech engines with unlimited voice cloning; and the Expression Measurement API, which analyzes emotion in real time across 48+ categories, 50+ languages, and 600+ output descriptors. EVI supports bringing external LLMs so teams can pair Hume's empathic voice layer with their own reasoning model.
The platform is API- and SDK-first (TypeScript and Python), with a web app, playground, and documentation at dev.hume.ai. Higher tiers add more concurrent connections, higher request rates, team seats, and enterprise-grade compliance (SOC 2 Type II, GDPR, HIPAA). Newer offerings, Kairos and the Human Feedback API, let teams simulate conversations at scale and collect human ratings to close the model-evaluation loop quickly.
Hume AI targets software developers, product teams, and voice AI companies that need emotionally aware speech and conversational capabilities, including builders of AI companions and characters, customer experience and support analytics teams, healthcare and wellbeing apps, and research groups. Its usage-based tiers scale from individual developers on the free or Starter plans up to enterprises requiring high volume, compliance, and dedicated support.
Software developers and ML engineers who integrate EVI, Octave TTS, or the Expression Measurement API into voice apps, agents, and analytics pipelines.
Engineering leads, product managers, and CTOs at startups and enterprises choosing a voice AI vendor and approving usage-based or enterprise contracts.
AI researchers, conversation designers, UX teams, and compliance stakeholders who evaluate emotional accuracy, voice quality, and data-privacy posture.
A product or platform team building voice-driven or conversational AI where emotional intelligence and expressive, empathic voice materially improve the user experience, and that is comfortable integrating APIs on usage-based pricing.
Hume AI raised a $50 million Series B round announced in March 2024, led by EQT Ventures with participation from Union Square Ventures, Nat Friedman & Daniel Gross, Metaplanet, Northwell Holdings, Comcast Ventures, and LG Technology Ventures, bringing total funding to roughly $60+ million. Any figures beyond this should be treated as not publicly disclosed.
Hume AI is an AI research company building emotionally intelligent voice technology. Its Empathic Voice Interface (EVI) is a speech-to-speech conversational AI that measures the tone and emotion in a user's voice and adapts its own responses in real time, alongside products like Octave text-to-speech and an Expression Measurement API.
Hume AI is freemium with usage-based pricing. There is a free plan at $0/month, and paid plans start at Starter for $3/month, then Creator $14, Pro $70, Scale $200, and Business $500 per month, with each tier including more TTS characters and EVI minutes. Overages are billed per 1,000 characters or per minute, and Enterprise is custom-priced.
ElevenLabs focuses primarily on high-quality, natural-sounding text-to-speech and voice cloning, while Hume AI centers on emotional intelligence, its EVI can detect vocal emotion and adjust its tone, and it offers a dedicated Expression Measurement API. Choose Hume if empathic, emotion-aware voice interaction is the priority; choose ElevenLabs if you mainly need broad, polished TTS voices.
Yes. Hume AI is delivered as APIs and SDKs (TypeScript and Python) with documentation at dev.hume.ai, a playground, and usage-based plans, making it primarily a developer platform for building voice and emotion features into applications rather than a finished consumer product.
Hume's models are trained on large, research-grade datasets and measure expression across 48+ emotion categories and 50+ languages with 600+ output metrics. The output is probabilistic, it estimates the likely emotional expression in voice, face, or language rather than reading true internal feelings, so it is best used as a strong signal rather than an absolute ground truth.
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