Make Real Estate Decisions in minutes

The First Generative AI Location Intelligence Platform, We use geospatial Large Language Models to help investors, and consultants make decisions in minutes rather than days

Query the Map:
Automate geospatial insights for businesses and governments

From real estate and urban planning to defense, our platform provides tailored solutions that cater to specific industry needs. Dive into our animated examples to see how you can leverage these insights for success.

FEATURES

Explore our Gen AI Location Intelligence Platform's robust features designed for precision and efficiency. Utilize dynamic mapping, real-time visualization, predictive analytics, and automated decision-making to transform your spatial data into actionable insights.
Interactive Query AI-Copilot
Communicate directly with your data through our advanced chatbot interface. This feature enables users to input natural language queries and receive immediate insights by drawing polygons or specifying areas on the map. It’s like having a conversation with your data, making complex analysis more accessible and engaging.
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Customizable Geofencing
Create and manage virtual polygons for real-world geographic areas. Our customizable geofencing allows users to define boundaries and set up triggers for automated alerts or actions based on the geographical entry or exit of objects. This feature is particularly useful for security, resource management, and localized marketing.
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Dynamic Data Visualization
Transform complex datasets into clear, actionable visuals. Our platform allows users to dynamically render geographic data through maps, charts, and graphs, facilitating easier analysis and quicker decision-making. Ideal for identifying trends and making geographical comparisons at a glance.
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Real-Time Analytics
Stay ahead with real-time data processing. Our platform continuously updates and analyzes incoming data, providing users with the most current insights for their operational needs. Whether it’s tracking moving assets or monitoring changes in market conditions, our real-time analytics keep you informed at the moment.
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Case Studies

Public Investment Fund
Students
Flexible

Public Investment Fund

The Public Investment Fund (PIF) is building a world-class domestic and international investment portfolio. Obtaining city-scale motion data in Riyadh and ensuring swift access to diverse areas within the shortest time posed a challenge.
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Unilever
Students
Flexible

Unilever

Unilever, one of the world's largest consumer goods companies, faced a critical challenge—uncertainty regarding the source of restaurant data in the Middle East and Africa.
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Coca-Cola
Students
Flexible

Coca-Cola

Coca-Cola Japan, a leading F&B manufacturing company encountered a significant hurdle—limited data access and availability for sales enablement, with a focus solely on the Japanese market.
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Bain and Company
Students
Flexible

Bain and Company

Bain & Company is a global consultancy that helps the world’s most ambitious change-makers define the future. Bain and Company sought to conduct market research for significant government entities but faced challenges in accessing comprehensive data.
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LAVAZZA
Students
Flexible

LAVAZZA

Lavazza, an iconic Italian coffee brand with a global presence, aimed to further penetrate markets in Saudi Arabia, UAE, Turkey, and Morocco. To bolster its market entry strategy, the brand collaborated with xMap – a leading location intelligence SaaS platform.
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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

How often do you update your data?

Once a month

Can I get a free sample?

Yes, we offer free sample before buying the data.

Does xMap support data integration?

Yes, Our team support integerating data into your existing database or warehouse.

How do I trust the data?

You will receive a data assessment sheet containing all metrics about data. xMap team is from data science background and data quality is our priority

What documentation do i get with the data?

You will receive 3 things:
1. Data file
2. Data assessment
3. Sheet Data documentation explaining all columns

We do not have data analyst, can you analyse the data for us?

Yes, we can analyze the data for you and share the insights directly

Can we use xMap data for machine learning modeling?

Yes, our data can be used for machine learning modeling for retail, sales and marketing and more. We can offer you free consultation on how to use the data.

How do we get data updates?

You will receive the data updates through cloud services such as Google Cloud Storage or AWS S3.

Our team wants to buy the data, but the legal team want's information on how the data is collected. Can you provide such information?

Yes, we dealt with multiple cases like this before.

We need the data aggregated, can you aggregate the data?

We can process the data into the shape that suits your preference.

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Where Should Skateparks Be Built in Queens? Using Generative AI for Youth Demographic Targeting

Discover how generative AI can help urban planners find the best skatepark spots in Queens. Ready to transform public spaces with data-driven insights?
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How Many Surgical Hospitals Are in the USA? Using Generative AI for Precise Site Analysis

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How Many Fine Dining Restaurants Are in NYC? Using Generative AI to Target Ideal Locations

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Evaluating the Best Sites for New York Restaurants and Cafes Using AI: A Data-Driven Approach

In this article, we’ll explore how generative AI and geospatial data can help F&B businesses assess the best sites for restaurants and cafes in New York.
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How Many Children's Hospitals Are in the United States? Using Generative AI for Site Evaluation

In today’s article, we’ll be exploring children’s hospital data in 2024 from our USA healthcare dataset and how generative AI can assist in overcoming common site selection challenges.
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AI-Driven Strategy for Grocery Chain Expansion in Upstate New York: A Comprehensive Guide

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Get in Touch

Whatever your goal or project size, we will handle it.
We will ensure you 100% satisfication.

sales@xmap.ai
+1 (415) 800-3938
800 North King Street Wilmington, DE 19801, United States
1 Chome-17-1 Toranomon, Minato City, Tokyo 105-6415, Japan
"We focus on delivering quality data tailored to businesses needs from all around the world. Whether you are a restaurant, a hotel, or even a gym, you can empower your operations' decisions with geo-data.”
Mo Batran
CEO & Founder @ xMap
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