Company profile
Valence AI
Emotion AI for voice, delivering emotional analytics for conversation intelligence.
- Category
- NLP & speech
- Headquarters
- San Francisco, CA
- Sells to
- Enterprise
- Business model
- Usage-based API
- Deployment
- API
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- speech, Audio
What Valence AI does
Valence AI provides emotion AI infrastructure to help companies understand how their customers feel through voice analysis. It aims to improve agentic AI conversational fluency and enable teams to respond with empathy, build trust, and strengthen relationships at scale. The company's mission is to close the gap between human experience and machine intelligence by building an emotional communication layer for AI systems, giving them the capacity for functional emotional understanding. Valence AI believes in robust and representatively diverse AI to revolutionize communication and emphasizes emotional intelligence, transparent technology, connection-first design, fair modeling, and humans-in-the-loop for optimal AI performance.
Products
- Pulse APIAn emotionally intelligent copilot for analyzing emotions live during a conversation, providing next-best-action prompts, or for post-call analytics.
Key capabilities
- Emotion AI infrastructure
- Analyze human voices
- Improve agentic AI conversational fluency
- Real-time emotion analysis
- Post-call analytics
- Integrate with human or AI voice agentic stacks
- Capture voice streams
- Classify real-time emotions from vocal tone and speech
- Track and respond to inflection points in conversations
- Generate empathetic voice agents with emotion AI
- Power software with EQ for customer understanding
- Optimize user flows and feedback loops
Use cases
- Understanding customer emotions from sales conversations to support calls
- Improving agentic AI conversational fluency
- Responding with empathy in customer interactions
- Delivering trust and building stronger relationships at scale
- Boosting sales
- Increasing customer loyalty
- Enhancing customer feedback
- Generating empathetic voice agents
- Boosting revenue with more efficient and effective conversations
- Optimizing user flows and feedback loops based on user reactions
- Personalized experience through AI (e.g., Thea app for emotional state understanding)
- Customer understanding for customer-obsessed teams
AI approach
Valence AI provides emotion AI for voice, helping companies understand customer emotions from vocal tone and speech. It offers infrastructure to analyze human voices and improve agentic AI conversational fluency. The company emphasizes building emotionally intelligent AI systems that can detect, interpret, and respond to human emotions, moving beyond traditional communication to achieve emotional alignment in human-AI interaction. They also focus on fair modeling using diverse and representative human datasets.
Tech named: emotion AI, affective computing, generative AI, machine learning, conversational intelligence, emotional analytics, agentic AI
Industries served
- Contact Centers
What it says sets it apart
- Focus on emotional intelligence for AI systems
- Ability to take tone, cadence, phrasing, and context to produce meaningful emotional measures
- Building an emotional communication layer for AI systems
- Belief in robust and representatively diverse AI
- Core values: Emotional Intelligence, Transparent Tech, Connection First, Fair Modeling, Humans in the Loop
- Aims to achieve emotional alignment in human-AI interaction
Funding rounds we track
Differential Ventures, Difference Partners, Willowtree Ventures, Change Paradox Ventures, SRI International
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Valence AI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.