rsmaps.ai

The Vision

rsmaps.ai is the spatial brain that AI agents have been missing. Upload any geolocated dataset and RSMaps auto-detects the schema, geocodes addresses to coordinates, enriches each point with demographics, points of interest, and comparables, then exposes the resulting spatial tools to agents through the Model Context Protocol—so a Claude or GPT agent can natively answer questions like "score this property against nearby comps," "map our customers by income tier," or "find every coffee shop within 2 miles of a Class A office building." It turns raw addresses, parcels, and remote-sensing imagery into agent-ready geographic context, becoming the location-intelligence layer for the next wave of autonomous real-estate, logistics, insurance, and government workflows. As every AI workflow eventually needs to ask "where?", RSMaps positions itself as shovel-grade infrastructure underneath them all.

Business Case

Own the location-intelligence layer for the AI-agent era—a $100B+ geospatial market (Esri, Mapbox, Foursquare, Precisely) that has historically required GIS specialists and is now being unbundled by MCP-native agents that need spatial reasoning on demand. Monetize through usage-based MCP/API pricing, enterprise data-enrichment subscriptions, and white-label agent platforms for real-estate, insurance, retail-siting, and government customers; the freemium "Start Free" wedge captures developers building agents today, with enterprise upsell driven by demographics, POI, and comparables data that competitors gate behind six-figure contracts.