Solution Sheet

StreetPro™ Discover

Semantic street data designed for AI.

Where the rubber meets the road
Organizations are increasingly investing in AI and deploying LLMs across their workflows, but many are struggling to achieve ROI because the underlying data isn’t AI-ready.  Street data underpins critical use cases like site selection and transportation planning, but it isn’t designed for AI and natural language queries—making it difficult for LLMs to retrieve and reason with. These datasets are built for GIS professionals and typically contain nondescript fields, opaque numeric codes, and complex relationships, all of which introduce friction and make crucial street data unusable in AI systems.

Unlock the full value of street data in AI systems
StreetPro™ Discover is purpose-built for use with LLMs and other AI systems. It groups and transforms complex street segment attributes and modelled data into human-readable text, such as “busiest hour of the week” or “Road_Type,” that both people and AI can easily search, understand, and use. This enables you to prompt conversational interfaces with simple questions like, “Which streets in this suburb have high traffic exposure?” and immediately gain the location-specific context you need to fuel analytics and operations.

Read the full solution sheet to learn more.