Atlas is an artificial intelligence assistant designed to simplify map creation, spatial analysis, and the development of location-based applications. Built for users of all technical levels, this platform eliminates the steep learning curve traditionally associated with Geographic Information Systems (GIS). By acting as an AI agent for spatial data, Atlas allows users to generate interactive maps and perform complex geographical analyses through intuitive conversational prompts. Users can import diverse spatial datasets, ask natural language questions about geographical patterns, and instantly visualize the results on a map. Additionally, the platform enables the rapid prototyping and deployment of custom location-based applications without requiring prior coding experience. This makes it a valuable asset for urban planners, real estate professionals, logistics coordinators, and researchers who need to leverage spatial intelligence but lack formal GIS training. Through its streamlined approach, Atlas democratizes spatial data analysis, turning complex geospatial operations into an accessible, conversational workflow.
Problem: Real estate analysts often struggle to visualize large property portfolios and identify vacant lots without complex GIS software training.
Solution: Atlas allows users to generate interactive property maps and dashboards using conversational prompts.
Example: A commercial real estate firm uses Atlas to map out vacant lots across a city and filter them by proximity to transit lines.
Problem: Municipalities and utility providers need to track assets like street lights, wind farms, or power plants but lack dedicated GIS specialists.
Solution: Non-technical staff can use pre-built templates and AI assistance to map utility assets and track maintenance requests.
Example: A public works department creates a "Street Light Reporter" app where field workers can log broken lights directly on a map.
Problem: Retailers need to define exclusive sales territories to avoid market cannibalization, but manual geographic calculations are error-prone.
Solution: The platform provides spatial analysis tools to generate franchise boundaries based on travel times or demographic zones.
Example: A fast-food chain maps out 15-minute drive-time buffers around existing stores to identify untapped territories.
Target audience: Best for: Real estate analysts, urban planners, utility asset managers, and low-code developers
Pricing: Paid · Categories: Assistant, Developer Tools, Low-code/No-code
Tags: ai agent, assistant, Generative AI, low-code/no-code
Atlas is an artificial intelligence platform designed to simplify spatial data analysis and map creation. It acts as an AI assistant, allowing users to import spatial datasets, explore geographical trends through conversational prompts, and generate interactive maps and location-based applications without needing traditional GIS experience.
Atlas provides a conversational assistant for map generation, interactive visualization tools, and pre-built templates tailored for public works, energy, and real estate. It also features a low-code builder mode for assembling spatial applications, custom dashboard widgets, and tools for real-time collaborative map editing and sharing.
Atlas is built for professionals who require spatial intelligence without the complexity of traditional GIS tools. Its target audience includes real estate analysts, urban planners, utility asset managers, researchers, logistics coordinators, and low-code developers looking to prototype and deploy custom mapping applications rapidly.
No, Atlas does not require prior coding experience. Users can interact with the platform using natural language prompts to run analyses and configure maps. It also includes a low-code application builder and pre-configured templates that make application development accessible to non-technical users.
Atlas is offered under a paid pricing model. Prospective users can visit the official website at https://atlas.new/ to explore specific subscription tiers, commercial terms, and access options for individuals and enterprise teams.