WE'RE LEVERAGING SPATIAL ANALYSIS FOR
Building Resilient Cities
Leveraging Satellite Imagery data to analyze climate change, socio-economic trends and demographics and developing resilient cities
Smart Farming
Managing farms with Advanced Analytical infrastructure to optimize the human labor and improving quantity and quality of products
Fighting Deadly Diseases
Helping government and nonprofits fight deadly diseases by mapping out large urban areas with strategic and granular accuracy
THE NEW AGE GEOSPATIAL AI
Leveraging the Perks of Spatial Analysis
Spatial analysis is the process of geographically modeling a problem or issue, deriving results by computer processing, and then examining and interpreting those model results.
The global geospatial analytics market size is expected to grow by USD 96.3 billion in 2025, at a CAGR of 12.9% during the forecast period of 5 years.
Businesses and nonprofits are utilizing satellite imagery, geospatial mapping, and remote sensing technologies to apply deep learning on datasets to create workflows and build solutions.
SPATIAL ANALYSIS SOLUTIONS &
CASE STUDIES
Developing models to fight dengue with AI
Gramener, as Microsoft’s World mosquito Program’s data science partner, is developing Machine Learning for an AI model to fight against mosquito-borne diseases.
AI for Resilient Cities
We are building sustainable solutions to build resilient cities. Our solution, AI for Resilient Cities – an AI-enabled data visualization tool, aims to help federal governments and municipalities across cities plan for and mitigate the impacts of climate change.
Satellite Imagery to Predict Quality of Life
This application leverages deep learning to process images captured from satellite, enriched with census data, and offers insights about rise in urbanization and poverty, and anomalies in census-measured factors like literacy, employment, and healthcare.
Predicting Crop Yield with AI
Our deep learning solution can predict crop yield with high spatial resolution several months before harvest, using openly available satellite image source. It can help making informed planting decisions, identifying low-yield regions and more.
Disaster Management with Spatial Analysis
Our spatial analytics capabilities are helping disaster relief organizations save millions of lives by predicitng disasters before hand.
RESOURCES ON SPATIAL ANALYSIS
Webinar on Spatial Analytics and AI
This webinar is curated for any business user, AI experts, Machine Learning experts, and Advanced Analysts who want to use Geospatial Analytics to build a plethora of innovative solutions.
The Rise of GeoSpatial AI
Geospatial Artificial Intelligence is an emerging interdisciplinary concept that combines Spatial Analysis and advances in Artificial Intelligence and Machine Learning. Know more about it.
Spatial Data Science Use Cases
How Spatial Analysis Aids in Public Health
Find out multiple use cases of spatial analysis technology in public health intervention.
Spatial Data Visualization for Urban Planning
Article on geospatial AI and it’s use cases
What is Smart Farming
Find out what devices are used to collect what data to promote advanced and digital agriculture strategies. Know what is smart farming and how to enable it.
Crop Yield Prediction
Find out what is crop yield and how can farmers enable infrastructures to predict it using machine learning algorithms channeling data from IoT devices, sensors and satellite imagery
