tabi is a personalized well‑being companion that helps users clarify priorities, reduce mental overload, and make incremental progress toward their goals without burnout. By combining science‑backed insights with a flexible workflow, it guides users to balance productivity and rest, adapting recommendations as life circumstances and energy levels change. The platform emphasizes small, capacity‑aligned steps and continuous alignment with evolving personal priorities.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals struggle to balance personal growth with well‑being, feeling overwhelmed by scattered thoughts, competing priorities, and fluctuating energy levels, which leads to burnout or stalled progress.
Solution
Tabi offers a science‑backed, personalized well‑being companion that guides users through an eight‑step framework to clarify priorities, set meaningful goals, and plan actionable steps that fit their current capacity. The platform continuously monitors progress and adapts recommendations as life circumstances change, ensuring that both productive momentum and restorative rest are integrated into daily routines. By turning vague intentions into concrete, bite‑sized actions and providing a structured reflection loop, Tabi helps users maintain alignment with their values without sacrificing mental health.
Target Audience
Tabi is aimed at adults seeking a holistic approach to personal development and mental wellness, such as professionals, students, and anyone who wants to manage productivity without compromising health.
Features
- Eight‑step system covering reflection, prioritization, goal setting, planning, action, progress tracking, adjustment, and balance celebration
- Dynamic task suggestions that adapt to the user’s reported energy levels and life changes
- Integrated progress monitoring with visual feedback and celebratory milestones
- Structured “rest” planning to ensure downtime is recognized as part of the growth process
- Personalization engine grounded in behavioral science to match recommendations to individual needs