xMap

What xMap does

xMap redefines how businesses make location-based decisions by blending Generative AI with rich geospatial data. The platform empowers brands, retailers, investors, and analysts to uncover high-value insights instantly and interactively. It provides structured physical world data for AI agents, archiving the physical world so AI can speak to maps. xMap offers four live products (POI, GPS Mobility, Car Traffic, Parcel) queryable via API, MCP, or download. The platform is designed to be AI-native, built for agents rather than analysts, with agent-ready schemas, embeddings, and tool definitions. It ingests, normalizes, and version-controls real-world data to ensure agents' views are never stale. xMap Studio provides comprehensive guidance, onboarding, troubleshooting, customization, integration, security best practices, and updates for users.

Products

• POI (Point of Interest Data)Indexes and structures businesses, landmarks, and places, with over 24M+ US locations and 30+ data fields per record. Verified, deduplicated, and updated monthly, queryable by name, category, bounding box, or radius. Built for agents.
• GPS Mobility (Footfall Data)Aggregated, privacy-safe foot traffic from mobile signals, showing how people move (origin, destination, dwell time). Provides hourly patterns by location, origin-destination pairs, and catchment analysis with 100m spatial resolution.
• Car Traffic (Road Traffic Data)Provides vehicle flow, road density, and congestion at any hour. Includes segment-level traffic counts, speeds, and congestion scores, with historical trends and live feeds. Built for logistics routing, retail access scoring, and urban planning.
• Parcel (Parcel Ownership Data)Offers information on who owns what land, including values and full transfer history. Covers parcel boundaries, ownership records, transfer history, zoning, and land value estimates nationwide in the US, agent-queryable in real time.
• xMap StudioA platform providing comprehensive guidance, onboarding, troubleshooting, customization, integration, security best practices, and updates for users to effectively utilize xMap's geospatial capabilities.

Key capabilities

• Analyze locations on a live map to define custom trade areas
• Natural language querying (e.g., "Where are the top ZIP codes in Texas with high footfall, low QSR saturation, and median income above $80K?")
• Access to 100+ data layers (demographics, foot traffic, competitor locations, retail performance)
• Benchmark sites
• Visualize gaps
• Identify expansion opportunities
• Data infrastructure for agentic AI
• Archiving the physical world for AI to speak to maps
• Composable, versioned, real-time data layers
• Built for tool calls, not dashboards
• Agent-ready schemas, embeddings, and tool definitions
• Ingests, normalizes, and version-controls real-world data
• Native MCP server
• Python SDK
• REST API
• Connectivity & Integrations
• Robust Data Enrichment
• Cutting-Edge Spatial Analysis
• Intuitive Data Visualization
• Platform as a Service
• Data Overlay capability
• User Access Management
• 2D and 3D Visualization
• Out of the Box Market Data cards
• Tabular View with Filters
• Different Map Tiles (satellite, street view, topographic, custom-designed)
• Ability to Filter data based on specific criteria
• Customizable Hover-over Tooltip
• Customizable Side Panel
• Data Export (tabular format)
• Data Filtering and Summarization
• Area Selection
• Geospatial Filters
• Data Cleaning
• Data Categorization
• Data Standardization
• Data Quality Control
• Data Validation

Use cases

• Optimizing new store locations for franchise brands and QSR chains
• Evaluating market saturation and real estate ROI for retail investors
• CPG brands and suppliers
• Real estate investor's agent evaluating plots for concepts (e.g., cafe)
• Logistics routing
• Retail access scoring
• Urban planning
• Site Selection for Gas Stations & Convenience Stores
• Network Optimization for Gas Stations & Convenience Stores (monitoring estate, detecting new competitors, remodel ROI, estate rationalization)
• Forecourt Intelligence for Gas Stations & Convenience Stores (optimizing pricing, product mix, staffing)
• Optimizing networks, routes, and hub placement at scale for Logistics & Last-Mile Delivery
• Hub & Depot Placement for Logistics & Last-Mile Delivery (evaluating DC locations)
• Policy decisions for Government & Public Sector
• Infrastructure planning for Government & Public Sector
• Public service delivery for Government & Public Sector
• Infrastructure & Capital Planning for Government & Public Sector (prioritizing road maintenance, transit expansion, utility investment)
• Site Selection & Scoring for Food & Beverage brands
• Network Optimization for Food & Beverage brands
• Forecourt Intelligence for Food & Beverage brands
• Unraveling location mysteries for Data Scientists, Developers, and Analysts
• Streamlining business operations
• Forecasting forthcoming scenarios
• Integrating and analyzing geospatial data for informed decision-making
• Capitalizing on market trends
• Visualizing intersections and relationships between varied datasets for strategic decision-making
• Delegating specific tasks to team members while safeguarding sensitive information
• Understanding urban planning projects
• Ground-level cityscape visualization
• High-altitude drone survey visualization
• Exploring health trends with precision
• Environmental research projects
• Analyzing transportation data
• Managing property data
• Evaluating potential store locations
• Identifying potential market gaps
• Understanding terrain for logistics planning
• Assessing physical environment of locations
• Regional market analysis
• Territory management
• Localized strategic planning

AI approach

xMap provides structured geospatial data and tools designed for AI agents to make location-based decisions. They emphasize 'AI-native by design' and 'Agentic from day one', with datasets shipping with 'agent-ready schemas, embeddings, and tool definitions'. The platform allows natural language queries and integrates with various AI models and frameworks.

Tech named: Generative AI, AI agents, Claude, GPT, GPT-4o, Gemini, LangChain, CrewAI

Industries served

• Franchise brands
• QSR chains
• Retail
• Investment
• CPG brands
• Suppliers
• Logistics
• Real Estate
• Urban Planning
• Government
• Public Sector
• Food & Beverage
• Healthcare
• Transportation

What it says sets it apart

• Blends Generative AI with rich geospatial data
• Empowers brands, retailers, investors, and analysts to uncover high-value insights, instantly and interactively
• No more static maps, no more guesswork
• AI-native by design, built for agents, not analysts
• Every dataset is queryable through MCP, REST, and SQL - no GIS expertise required
• Datasets ship with agent-ready schemas, embeddings, and tool definitions
• Plug into Claude, GPT, or own stack in minutes
• Ingests, normalizes, and version-controls the real world so agent's view is never stale
• Comprehensive data and tools for Data Scientists, Developers, and Analysts
• Seamless connectivity with diverse datasets and platforms
• Enhances quality, value, and depth of data through advanced enrichment tools
• Precision tools to unravel patterns, correlations, and insights previously obscured
• Dynamic visualization tools to make data speak
• Granular control over user access for data security
• Dynamic 2D and 3D visual representation tools
• Pre-compiled, ready-to-use market data cards without initial setup or data processing
• Advanced filtering capabilities for tabular view
• Supports a variety of map tile styles
• Sophisticated filtering system to refine displayed data
• Customizable hover-over tooltips for quick access to critical details
• Customizable side panel for workflow efficiency
• Data export in tabular format for seamless integration with other tools
• Advanced data processing tools for filtering and summarizing
• Intuitive interface for selecting specific map regions
• Advanced geospatial filters for specific geographic parameters
• Utilizes advanced algorithms and human expertise to vet and validate datasets
• Designed to seamlessly integrate with a variety of datasets (in-house or external)
• Prioritizes data security with advanced encryption and security protocols

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.