Maaind offers a Mood-as-a-Service API that utilizes neuroadaptive AI to detect users' emotional states through voice and heart rate analysis, enabling real-time adaptation of digital interfaces. This technology addresses the lack of personalized user experiences by providing engaging and contextually relevant interactions without requiring additional hardware.
Funding
$100.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
EFPAFounders
Product
Problem
Current digital interfaces lack personalization, relying on manual user input to adapt content, which can lead to disengaging and irrelevant experiences. Existing methods fail to leverage real-time emotional data to create truly adaptive and personalized interactions.
Solution
Maaind offers a Mood-as-a-Service (MaaS) API that uses neuroadaptive AI to detect a user's emotional state through voice and heart rate analysis. This enables real-time adaptation of digital interfaces, creating personalized and engaging experiences without requiring additional hardware. The API integrates with existing devices and products, seamlessly blending into the user's technologies to make interfaces more natural and empathic. Feature extraction happens on-device, ensuring privacy by processing how something was said rather than the content itself. The platform provides tools to co-create, develop, integrate, and validate neuroadaptive AI models for various applications.
Target Audience
The primary customers are product teams and developers in industries such as automotive, health, and defense who seek to create personalized and engaging user experiences by integrating real-time emotion detection into their digital interfaces.
Features
- Real-time mood and stress detection from voice and heart rate
- Neuroadaptive AI that adapts product interfaces based on emotional state
- API integrates with existing devices without requiring extra hardware
- Privacy-preserving design with on-device feature extraction
- Support for design, development, and validation of neuroadaptive AI models
- Integrates with automotive, health, and defense industry applications