Mood-as-a-Service
Create engaging and personalized experiences for every user by adapting interface, content and product experience to their mood and stress levels in real-time with the MaaS API.
Leading Accuracy
Our Models are leading in accuracy across datasets for both stress measurement and speech emotion recongition.
Privacy Preserving
Our platform is built on privacy.
With feature extraction on device, we never receive raw audio data.
Multimodal
The MaaS API can detect mood and stress from voice, heartrate and other contextual data.
Works at Scale
Our platform can easily be scaled and is ready to support millions of users, with robust and flexible infrastructure.
Real-time
The detection happens in seconds, providing accurate measurements with low latency.
Device Agnostic
MaaS integrates with many off-the-shelf devices and doesn't require any extra hardware.
Multimodal Input
Maaind's Mood-as-a-Service platform can extract and analyze features from voice, wearable data or other contextual factors, such as movement, light levels or weather to detect the user's current psychophysiological state.
VOICE
HEARTRATE
CONTEXT
MaaS API
Our integrated privacy layer ensures that all data is encrypted and anonymized. Feature extraction happens on device, so that we never receive the raw audio data.
Using machine learning, the MaaS API can detect markers such as stress, emotion, cognitive load, and other psychological states from the multimodal inputs with industry-leading accuracy.
Based on the detected state, the API can personalize any product or service to support the user's wellbeing.
PRIVACY PRESERVING LAYER
DETECT
EMOTIONS
STRESS
PERSONALIZE
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