Safest Way is a mobile app that helps pedestrians find the safest route home by prioritizing well-lit streets, integrating local crime data, and incorporating CCTV coverage into its navigation. The app uses AI to analyze street-level safety factors, offering users peace of mind by choosing routes based on safety rather than just speed. Currently free to use, Safest Way is expanding across the UK and relies on user requests to determine which cities launch next.
Funding
Funding not disclosed
Founders
Product
Problem
Pedestrians often rely on standard navigation apps that prioritize speed over safety, leading them through poorly lit, high-crime areas, especially at night. This lack of safety-aware routing creates anxiety and exposes individuals to potential harm, limiting their confidence to move freely through urban environments.
Solution
Safest Way provides a mobile navigation app that calculates the safest route home by integrating real-time street lighting data, local crime statistics, and CCTV coverage into its routing algorithm. The app uses AI to analyze these factors, offering users a route that minimizes risk rather than just travel time. By prioritizing well-lit and monitored paths, Safest Way empowers users to make informed decisions about their journey, providing peace of mind for both the traveler and their loved ones. The app is designed to be a personal safety companion, helping users navigate with confidence during nighttime hours.
Target Audience
The primary users are urban pedestrians, particularly those who travel at night, such as concert-goers, late-shift workers, and students, who prioritize personal safety during their commutes.
Features
- Lighting-aware routing that prioritizes well-lit streets using real-time street lighting data
- Integration of local crime data and CCTV coverage into route decision-making
- AI-driven analysis of street-level safety factors to identify the most secure paths
- User-friendly interface that presents safety insights and route options clearly
- Community-driven expansion, where user requests influence which cities are launched next