Featured Impact Story
Cooling Doha Through Data-Driven Greening
FoundationAI developed a prototype that uses ESA satellite observations to map urban heat and test the cooling potential of trees and new green spaces before implementation.
FoundationAI helps cities and institutions turn Earth observation data into practical decisions that reduce heat risk, protect resources, and improve everyday resilience.
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From our Doha satellite-guided greening use case.
Featured Impact Story
FoundationAI developed a prototype that uses ESA satellite observations to map urban heat and test the cooling potential of trees and new green spaces before implementation.
Urban heat · community resilience
FoundationAI is building a Geospatial AI model to simulate climate-induced heat wave impact and evaluate how improved construction techniques can reduce heat exposure in vulnerable areas.
Disaster intelligence · Earth observation
Geospatial AI and EarthGPT-style workflows make 2022 Pakistan flood extent legible by pairing baseline imagery with post-event views for response, relief, and recovery planning.
Partner story · DL Germany
With partner DL Germany, we supported a multi-city program linking thermal performance, field costing, and buildable roof manuals so hotter cities can scale safer indoor conditions through evidence-backed roofing upgrades.
Protect water security by monitoring aquifers, anticipating drought risk, and guiding equitable distribution with satellite intelligence.
Identify neighborhood heat risk and prioritize cooling interventions such as shade, greening, and resilient materials.
Measure carbon outcomes across forests and working lands to support transparent, science-backed climate action.
Combine space-based Earth observation with repeatable use cases so cities and regions can tackle climate risk at portfolio scale, not one-off pilots.
Purpose-built geospatial intelligence that connects satellite data to practical climate adaptation and resilience decisions.
We combine satellite constellations, weather signals, and local context to produce decision-ready climate layers for on-the-ground teams.
Our models learn from large-scale Earth observation data to detect risk, forecast change, and simulate intervention impact with higher contextual accuracy.
From rapid pilots to city-scale deployment, our platform delivers consistent geospatial workflows for continuous monitoring and scenario planning.
Request a working demo and we will map a high-priority climate challenge with your team.
FoundationAI is a climate technology company focused on helping communities adapt faster and smarter to environmental risk.
We bring together AI researchers, climate scientists, and geospatial engineers to transform Earth observation data into practical guidance for governments, NGOs, and mission-driven organizations.
We prioritize measurable outcomes for people and places most exposed to climate risk.
We build every model on transparent methods, verifiable data, and scientific discipline.
We deploy AI responsibly, with clear assumptions, human oversight, and accountability.
Office No. 123, Regus Building No. 67, D-Ring Road, Doha, Qatar
info@foundationai.earth
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