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Jendi

Shutdown
jendi.ai

Website unreachable since Oct 29, 2026

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.

Traction 10/10
Birmingham, United Kingdom · HQ
Founded 2024141K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Digital Health
  • Software Only
  • Wellness & Fitness Technology
Updated 7 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Satyen Fakey

CEO

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
This profile is AI-generated and may contain inaccuracies.