Overture Member Summit 2026

At the beginning of 2026 Overture kicked off a new task force with a mission of improving places data using imagery. Initially this work has been focused on using street level imagery to improve the geolocation accuracy of POIs, and in the process confirming their existence. This session will share the early benchmark results from this work; testing the accuracy of POI placements to real world survey measurements. The conflation of street level imagery with places opens the door to several follow on opportunities 1) accurate conflation of buildings and places, 2) seeding the discovery of new/changed places and 3) generating AI native places data. For the last point we'll introduce the concept of vector map embedding tiles: a data format that augments Overture place and geometry layers with semantic and visual embeddings, entrance and signage primitives, and lightweight visual-language descriptions derived from street-level imagery. The goal is to demonstrate how Overture datasets can be transformed into agent-ready assets, small and simple enough to be utilized by on-device spatial memory that is suitable for modern AI assistants.