Existing prediction systems are either short-term, inaccessible, or too technical for the communities that need them most. GeoLunar shifts the paradigm from reactive to proactive.
Day Forecasts
Data Silos
GeoLunar leverages advanced AI to integrate diverse data sources, predict disasters months in advance, and provide actionable visualizations for proactive resilience.
Combines open-source datasets like Sentinel, Landsat, MODIS, ERA5, and MERRA-2 for climate, hydrological, geological, and socio-environmental insights.
Machine learning algorithms forecast floods, droughts, storms, and other hazards months ahead, shifting from reactive to proactive strategies.
Generates intuitive risk maps and scenarios, making complex data accessible for communities, researchers, and decision-makers.
Extends to astronomy and space sciences, bridging Earth and celestial research for holistic planetary intelligence.
GeoLunar envisions a shift from reactive disaster response to proactive, equitable resilience. By addressing root causes like data fragmentation and inequity, we link ecological health with human wellbeing, empowering vulnerable communities to anticipate and adapt to climate challenges.
2024: $368B global losses (Aon report). Rising trend underscores urgency.
Heatwaves dominate mortality (EM-DAT/UNDRR data).
Top 10 Climate Disasters in 2025
Economic losses from heatwaves, floods, storms, droughts, and wildfires (Christian Aid report).
Annual Global Drought Losses (Est.)
Devastating agriculture and livelihoods worldwide.
"GeoLunar drives systemic change by providing AI-driven forecasts, empowering communities to act proactively and reduce loss of life, protect infrastructure, and strengthen ecological resilience."
Implementation begins where climate vulnerability is profound before expanding to safeguard ecosystems globally.
Refining models where data inequality and vulnerability are most profound.
Scaling predictive infrastructure to protect river basins and agricultural zones.
Deploying a centralized hub for research across planetary and space sciences.
Founder Abbaas Mhlongo witnessed how systemic inequalities, such as limited access to quality education and technology, affect disaster preparedness in underrepresented communities.
This perspective drives GeoLunar’s commitment: ensuring technological advancements benefit those who face historical and social disadvantages first.
Current Phase
Refining AI design sketches and mapping multi-dimensional data sources.
Q1 2026
Community-testing interfaces and field-validating predictions in South Africa.
March 1, 2026
Full release of predictive hazard intelligence and visualization tools.
Be the first to access our predictive visualizations.
Join the waitlist to get access to our predictive models for free!
Have questions about our data methodology or partnership opportunities?