Funding
Funding not disclosed
Founders
Product
Problem
Current human-computer interaction models lack the ability to dynamically adapt to a user's affective state. This limitation prevents applications from providing truly personalized and responsive experiences, potentially leading to suboptimal user engagement and satisfaction.
Solution
Nx10 provides an emotion AI platform that infers user emotional and cognitive states by analyzing subtle haptic and motion data captured during device interaction. Our proprietary algorithms process sensor inputs such as grip pressure, swipe velocity, and touch patterns to generate real-time insights into user feelings. This data can be integrated into various applications to enable adaptive user experiences, such as adjusting game difficulty based on frustration levels or tailoring content delivery to match a user's mood. The system operates with on-device inference, ensuring privacy by processing data locally without needing to access user activity.
Target Audience
The primary customers are developers and product teams in the gaming, mental health, and digital wellbeing sectors seeking to create more responsive and personalized user experiences through affective computing.
Features
- Haptic and motion data analysis engine for inferring affective and cognitive states.
- Feature extraction from touch, grip, and movement patterns, generating over 50 behavioral variables.
- Large Feelings Model (LFM) for recognizing, anticipating, and adapting to individual emotional patterns.
- On-device inference for real-time processing and privacy preservation, with 0.2s inference latency.
- APIs and SDKs for seamless integration into third-party applications.
- Generation of a "Brain Charge Index" to quantify emotional resilience and cognitive load.
- Detection of emotional changes within milliseconds for proactive intervention.
- Privacy-first design that does not require access to user application data.