Case Study
Emotion AI for Market Prediction
MoodMetrics AI is revolutionizing financial markets by decoding the emotional undercurrents in central bank communications. Founded in 2024 at the University of Bath, the company empowers financial institutions with emotional intelligence insights by analyzing verbal and non-verbal behavior, including vocal tone, speech patterns, and micro-expressions. By integrating Hume’s Expression Measurement API, MoodMetrics detects subtle emotional cues that traditional models miss—helping investment banks, retail banks, and hedge funds anticipate market movements with greater precision. The company has been nationally recognized through awards such as the Santander UK University Startup Grant and a Sparkies Award nomination.
About MoodMetrics
MoodMetrics AI is revolutionizing financial markets by decoding the emotional undercurrents in central bank communications. Founded in 2024 at the University of Bath, the company empowers financial institutions with emotional intelligence insights by analyzing verbal and non-verbal behavior, including vocal tone, speech patterns, and micro-expressions.
By integrating Hume’s Expression Measurement API, MoodMetrics detects subtle emotional cues that traditional models miss—helping investment banks, retail banks, and hedge funds anticipate market movements with greater precision. The company has been nationally recognized through awards such as the Santander UK University Startup Grant and a Sparkies Award nomination.
The Challenge
Traditional sentiment analysis tools rely heavily on text, leaving out emotional context such as vocal stress, tone shifts, and facial micro-expressions. MoodMetrics set out to solve several limitations in market analysis:
- Text-Only Limitations: Most models miss non-verbal signals critical to interpreting central bank communications.
- Missed Emotional Cues: Policymakers may express stress or uncertainty through tone or facial expressions that don’t appear in written transcripts.
- Reduced Forecasting Power: Without these cues, models may lag behind actual market sentiment.
The Solution: Decoding Emotion with Hume’s Expression Measurement API
MoodMetrics integrated Hume’s Expression Measurement API to enhance its predictive models with multimodal insights:
- Speech and Tone Analysis: Hume’s API helps identify stress and confidence levels in central bank speeches, offering earlier insights into hawkish or dovish sentiment.
- Micro-Expression Recognition: Subtle facial expressions, often overlooked in traditional tools, are analyzed to detect underlying emotion and intent.
Results
- 67% prediction accuracy in a proof-of-concept following a Jerome Powell FOMC speech
- Faster signal detection by integrating non-verbal cues with historical market data
- Smooth implementation of the Expression Measurement API, with issues quickly resolved through collaboration with Hume’s support team on Discord
- Positive feedback from early users across finance, healthcare, defense, and marketing
For more information on how empathic AI can enhance your digital solutions, please contact Hume AI.
Keep reading
Transforming AI Phone Support with WebAppClouds
EVI's conversational naturalness makes it exceptional for phone support. It recognizes tone, emotion, and phrasing, keeping interactions warm and efficient. The platform's intelligent end-of-turn detection ensures conversations flow smoothly without awkward pauses or interruptions. For WebAppClouds' clients, this translates to support customers actually enjoy. Instead of navigating complicated menus, customers simply say what they need, whether it's booking, rescheduling, or getting information. EVI integrates seamlessly with the WebAppClouds system, enabling real-time scheduling updates while delivering faster responses and consistent brand experiences.
Aaron Greene / Nov 6, 2025
GAF Powers Professional Training with Hume’s Text-to-Speech
To support their extensive training programs and marketing initiatives, GAF leverages Hume's text-to-speech technology to make internal training videos and marketing voiceovers. Our partnership addresses several key needs: Professional training content: Delivering consistent, high-quality audio for thousands of contractors and employees. Marketing collateral: Producing engaging voiceovers for promotional content and product demonstrations. Scalable production: Generating content without the logistics and cost of traditional voice recording. Hume's voice design also proved ideal for GAF. The platform's natural, expressive voices maintain the authoritative yet approachable tone that GAF needs to communicate with contractors, retailers, and customers. Unlike synthetic voices that can sound robotic or overly casual, Hume's TTS technology delivers the polished, trustworthy quality expected from an industry leader.
Aaron Greene / Nov 3, 2025