
xMap is a location intelligence platform that leverages generative AI and geospatial Large Language Models to help businesses and governments make data-driven decisions rapidly. Their platform offers solutions for various industries including gas stations, logistics, governments, food and beverages, accommodation, and healthcare. Key use cases include site selection, supply chain optimization, market analysis, and network deployment, catering to roles like data scientists, GIS professionals, and business users. The company's core products are xMap Studio, a SaaS platform for viewing and analyzing data on maps, and Polygon AI, which enables natural language queries of geospatial data. xMap emphasizes actionable insights, real-time analytics, and dynamic data visualization to drive growth and efficiency for its clients.

xMap is a location intelligence platform that leverages generative AI and geospatial Large Language Models to help businesses and governments make data-driven decisions rapidly. Their platform offers solutions for various industries including gas stations, logistics, governments, food and beverages, accommodation, and healthcare. Key use cases include site selection, supply chain optimization, market analysis, and network deployment, catering to roles like data scientists, GIS professionals, and business users. The company's core products are xMap Studio, a SaaS platform for viewing and analyzing data on maps, and Polygon AI, which enables natural language queries of geospatial data. xMap emphasizes actionable insights, real-time analytics, and dynamic data visualization to drive growth and efficiency for its clients.
Positioning: Generative-AI location intelligence SaaS that uses geospatial LLMs to turn fragmented spatial data into actionable, real-time insights.
Core products: xMap Studio (SaaS map analysis) and Polygon AI (natural-language queries of geospatial data).
Primary use cases: Site selection, supply-chain optimization, market analysis and network deployment across real estate, retail, consulting and urban planning.
Funding signal: Pre-seed fundraising activity in 2024; pre-seed backing led by Shizen Capital; amounts not publicly disclosed.
Founding team: Four co-founders including Mo Batran (CEO) and Dr. M. Farid (COO).
Team size (snapshot): 14 employees.
Turning fragmented geospatial data into actionable insights for site selection, market analysis, supply-chain optimization and spatial/network planning across industries such as real estate, retail, consulting and urban planning.
Location intelligence; Geospatial SaaS
Amount not publicly disclosed.
Amount not publicly disclosed.
“Pre-seed backing led by Shizen Capital; participation in accelerator programs including Google for Startups AI Academy APAC and Alchemist Accelerator; Dealroom lists additional investor entries including Hub71.”