Behavidence

Accurately Measure Your Mental Health Every Day

Freemium

Description

Behavidence utilizes patented AI technology, specifically digital phenotyping and machine learning, to provide scientifically validated insights into mental well-being. By passively analyzing digital behavior patterns on a user's mobile device without tracking any personal content, the system generates a daily mental health similarity score. This score offers users awareness of their mood, focus, worry, and stress levels.

Developed with input from psychiatrists and physicians, Behavidence prioritizes privacy and security, employing AES 256 encryption and ensuring user anonymization. It serves multiple audiences, including individuals seeking self-management tools, healthcare providers monitoring patient progress, clinical researchers needing unbiased digital markers, and insurance companies aiming for early intervention. The platform offers an app for personal use and an SDK for integration into existing platforms.

Key Features

AI-Based Analysis: Uses digital phenotyping and machine learning to detect changes in mood, focus, and stress via passive digital biomarkers.
Scientifically Validated Score: Provides a daily similarity score based on validated data for insights into mood, focus, worry, and stress.
100% Private & Secure: Anonymizes users, does not collect identifiable data, and uses AES 256 encryption.
No Content Tracking: Monitors behavioral patterns and engagement, not message content, typing, or sites visited.
Unbiased Data: Relies on data-driven insights rather than subjective opinions.
Cross-Platform App: Available for both Android and iOS mobile devices.
Early Awareness: Aims to help predict mental health deterioration for improved self-management.
Easy Integration: Offers an SDK for embedding into existing platforms or unique codes for user attribution.

Use Cases

Personal mental well-being management and tracking.
Healthcare providers gaining insights into patient mental state and progress.
Administering validated questionnaires (PHQ-9, GAD-7, ASRS) remotely.
Clinical trials monitoring participants using real-time digital behavioral markers.
Insurance companies screening and monitoring clinical interventions remotely.
Identifying digital phenotypes for mental health conditions in research.
Supporting early and accurate interventions for mental health conditions.