Joyna is a mobile running app that automatically creates routes optimized for lighting, low crime rates, and connectivity using a proprietary algorithm that combines GIS maps, crime statistics, and street‑light data. The app lets users share live location with trusted contacts and includes a one‑tap SOS feature to broadcast their position to nearby responders, helping runners stay safe while training in unfamiliar or low‑light areas.
Funding
Funding not disclosed
Founders
Product
Problem
Runners often struggle to find safe, well-lit routes, especially during early mornings, evenings, or in unfamiliar neighborhoods, leading to concerns about personal safety and reduced outdoor exercise.
Solution
Joyna addresses this safety gap with a mobile app that automatically generates running routes optimized for lighting, low crime rates, and connectivity. The app leverages a proprietary algorithm that integrates extensive GIS maps, crime statistics, and lighting data to produce routes tailored to the runner’s preferences and environment. Users can share their live location with trusted contacts, providing real-time visibility of their progress. An integrated SOS feature enables runners to quickly alert nearby people or emergency contacts if assistance is needed. By continuously updating its data sources, Joyna ensures that each suggested path reflects current conditions, helping runners maintain confidence and consistency in their training.
Target Audience
Joyna is aimed at individual runners and fitness enthusiasts who prioritize safety, particularly those training in unfamiliar neighborhoods, during low-light hours, or seeking reliable route planning for varied distances.
Features
- Automated route generation using multi-source GIS, crime, and lighting datasets
- Optimization for well-lit, low-crime pathways suitable for early morning and evening runs
- Real-time location sharing with designated contacts for safety monitoring
- One-touch SOS alerts that broadcast the runner’s position to nearby responders and contacts
- Adaptive routing for new areas and varying training distances, ensuring appropriate difficulty and safety
- Continuous data refresh to reflect changes in street lighting, crime reports, and road conditions