
From Streetlights to Safety Scores: The AI Behind Safest Way with Alesja and Ilya
From Amata World Podcast by Amata World
December 1, 2025 · 33 min · Episode 128
About this episode
The episode discusses the AI-driven app Safest Way, which calculates safe pedestrian routes by analyzing various data sources.
In this episode of the Amata World podcast, we talked to Ilya and Alesja, co-founders of Safest Way, an app designed to calculate the safest routes for pedestrians by analyzing data on street lighting, CCTV, and crime. They share their inspiration behind Safest Way, which stemmed from personal experiences of feeling unsafe while walking at night. The conversation covers how AI, particularly computer vision and language models, is used to assess the subjective perception of safety by analyzing street imagery. Challenges include data quality, diverse viewpoints on safety, and licensing restrictions on using platforms like Google Street View. We also touched on future plans, including hyper-personalization of routes based on individual preferences and the development of a safety foundation model. They also offered advice to those starting with AI, emphasizing the importance of identifying the problem first and strategically applying AI tools rather than over-relying on them. Key takeaways: Safest Way uses AI to enhance pedestrian safety by analyzing objective data (lighting, crime) and subjective perceptions of safety (street imagery). The subjective perception of safety is complex…
People in this episode
Host: Amata World
Guests: Ilya, Alesja
Topics covered
- AI
- pedestrian safety
- data analysis
- computer vision
- personal experiences
- hyper-personalization
Keywords
- AI
- pedestrian safety
- Safest Way
- computer vision
- street imagery
- data quality
- hyper-personalization
Mentioned in this episode
Organizations: Safest Way, Google
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