Yandex Maps has rolled out neural network technology to automatically detect accessible entrances to restaurants and cafes, making it easier for users with limited mobility to find suitable spots. Previously, such accessibility tags were added manually, often resulting in incomplete data and errors. Now, AI-driven labeling achieves over 80% accuracy and has increased the number of venues marked as ”Accessible Entrance” by one-third.
How Yandex Maps uses AI to identify accessible cafes
The feature leverages two proprietary AI models from Yandex’s Alice AI family. The multimodal Alice AI VLM model reviews photos of venues to detect thresholds, ramps, and door widths. Then, the textual Alice AI LLM model analyzes this data to determine whether the entrance qualifies as accessible. This two-step approach enables Yandex Maps to automatically and accurately assess how well a venue accommodates visitors with limited mobility.
Advantages of automated accessibility tagging in Yandex Maps
Switching from manual to AI-powered tagging has significantly improved both the volume and accuracy of information about venue accessibility. Before, human error and sparse data left users with an incomplete picture. Now, automated labeling offers more comprehensive and precise coverage-critical for users who depend on advance knowledge of accessible facilities when planning outings.
Expanding AI-driven accessibility features in Yandex Maps
Yandex Maps is doubling down on AI to enrich the user experience beyond accessibility. Earlier, the service introduced personalized recommendations powered by neural networks that analyze user preferences to suggest restaurants, attractions, and events. These tailored suggestions appear directly on the app’s home screen as photo markers on the map and as a feed below the search bar, streamlining choices for users.
Compared to giants like Google Maps, which also offer accessibility features but rely largely on user reports, Yandex’s automated approach enables faster, more scalable updates. Russia’s tech sector has been quick to adopt AI-based location services enhancements, addressing local user needs such as accessibility in a way global players have yet to fully prioritize.
Yandex Maps’ integration of neural networks doesn’t just increase the accuracy and breadth of accessibility information-it pushes the app towards greater inclusivity for all users. Observers will be watching whether this AI-powered accessibility tagging expands beyond cafes to other public venues and how it influences competitive dynamics among map services globally.

