What is Behavidence?
Behavidence offers a scientifically validated method for monitoring mental well-being through its patented mobile application. By analyzing passive digital behavior, the platform delivers daily feedback on mood, focus, worry, and stress levels. This technology leverages digital phenotyping and machine learning to identify potential declines in mental health, facilitating early awareness and self-management without accessing personal content like messages or browsing history. The system is built with privacy and security at its core, using top-tier encryption and ensuring user anonymity.
The platform serves diverse audiences, including individuals seeking personal mental health insights, healthcare providers needing objective patient progress tracking, researchers conducting clinical trials requiring real-time behavioral markers, and insurance companies aiming to reduce costs through early intervention support. Integration options like an SDK are available, making it adaptable for various organizational needs while maintaining user privacy and providing unbiased, data-driven insights.
The platform serves diverse audiences, including individuals seeking personal mental health insights, healthcare providers needing objective patient progress tracking, researchers conducting clinical trials requiring real-time behavioral markers, and insurance companies aiming to reduce costs through early intervention support. Integration options like an SDK are available, making it adaptable for various organizational needs while maintaining user privacy and providing unbiased, data-driven insights.
Features
- AI-Based Analysis: Uses digital phenotyping and machine learning to assess mental health indicators.
- Daily Mental Health Score: Provides a scientifically validated daily score reflecting mood, focus, worry, and stress.
- Privacy Focused: Anonymizes users and does not track personal content like messages or browsing history.
- Data Security: Employs AES 256 encryption to protect user data.
- Unbiased Insights: Delivers data-driven feedback based on behavior patterns, not opinions.
- Cross-Platform Compatibility: Available on both Android and iOS devices.
- Integration Options: Offers an SDK for embedding into existing platforms.
- In-App Journal: Allows users to record personal insights and track progress.
Use Cases
- Personal Mental Well-being Monitoring: Individuals track their daily mental health scores and trends.
- Clinical Patient Monitoring: Healthcare providers gain insights into patient mental well-being and track progress over time.
- Clinical Trial Data Collection: Researchers utilize real-time digital behavioral markers for unbiased study data.
- Insurance Risk Assessment & Intervention: Insurance companies screen and monitor individuals for early mental health intervention.
- Employee Wellness Programs: Employers offer the tool to support staff mental health monitoring.
- Self-Management Tool: Users leverage daily scores and journaling for improved mental health self-awareness.
