Jendi utilizes biomarker analysis and predictive modeling to detect individual burnout risk through data from health wearables. The platform delivers personalized, research-based preventative actions directly into users' daily schedules, enhancing overall wellness and professional success.
Funding
Funding not disclosed
Founders
Product
Problem
Burnout poses a significant threat to individual well-being and professional productivity, yet early detection remains challenging due to the lack of objective, personalized monitoring tools. Traditional methods rely on subjective self-reporting, which often fails to capture the subtle physiological changes indicative of impending burnout. This delay in identification hinders timely intervention and preventative care.
Solution
Jendi offers a proactive solution by leveraging biomarker analysis and predictive modeling to identify individual burnout risk through data collected from health wearables. The platform analyzes physiological responses to stressors in real-time, providing a comprehensive understanding of an individual's vulnerability to burnout. By integrating with wearable devices, Jendi continuously monitors key indicators and employs AI-powered predictive models to forecast potential burnout states. The platform then delivers personalized, research-backed preventative actions directly into the user's daily schedule, promoting overall wellness and professional success.
Target Audience
Jendi's primary target audience includes individuals seeking to proactively manage their well-being and prevent burnout, as well as companies looking to improve employee wellness and productivity.
Features
- Integration with Apple Health and other wearable devices (Apple Watch, etc.) for continuous biomarker data collection
- Predictive modeling to assess individual risk of entering a burnout state
- Personalized preventative actions delivered directly to the user's schedule
- Burnout Detection Score and Wellbeing Score to track progress
- Advanced analytics and insights into behavioral profiles
- Digital therapist feature for real-time preventative support
- Advanced research-led exercises and activities
- On-device security to protect sensitive data