GeoScan AI

Elevator Pitch: Imagine a world where every developing country has access to affordable, accurate, and up-to-date urban mapping, revolutionizing urban planning, governance, and disaster response. GeoScan AI makes this possible through cutting-edge AI and satellite technology, turning the challenge of urban mapping into an opportunity for sustainable development.

Concept

Providing comprehensive and up-to-date national rooftop and building maps for developing countries using AI-driven satellite image analysis.

Objective

To bridge the gap in urban planning and governance in developing countries by providing accurate, affordable, and regularly updated building maps.

Solution

Using fully convolutional neural networks for multi-class buildings’ instance segmentation from high-resolution satellite images to generate detailed urban maps with high object-wise accuracy.

Revenue Model

Subscription-based access for government bodies and urban planners, with tiered pricing based on usage volume. Additional revenue from consulting services for customized urban development projects.

Target Market

Governments of developing countries, urban planning agencies, disaster response organizations, and real estate developers.

Expansion Plan

Initially focus on countries with the most acute need for updated urban maps, then expand to other regions while continuously improving the AI model’s accuracy and reducing operational costs.

Potential Challenges

Data privacy and sovereignty issues, ensuring consistent access to up-to-date satellite imagery, and the need for ongoing model training with new data.

Customer Problem

The lack of accurate, accessible, and affordable urban mapping in developing countries, hindering effective governance, urban planning, and disaster response.

Regulatory and Ethical Issues

Adhering to each country’s data protection regulations and ethical concerns regarding surveillance and data usage.

Disruptiveness

GeoScan AI disrupts traditional surveying and mapping methods by providing a more cost-effective, faster, and scalable solution.