Our Story
OUR HISTORY
AlphaGeo was conceived in 2020 by Dr. Parag Khanna to apply complex systems science to geography. The original inspiration was equal parts personal, intellectual and commercial:
Personal: He sifted through many fragmented datasets searching for the optimal place for his parents’ retirement and saw the need for an app that filters locations according to user criteria and preferences.
Intellectual: He wanted to apply data science to model the interactions of the many forces driving new migration patterns laid out in his 2021 book MOVE: Covid and remote work, demographic imbalances and labor shortages, climate risk and infrastructural resilience, industrial policy and near-shoring, and more.
Commercial: Several prominent asset managers and real estate developers sought his support in analyzing the impact of geopolitical, societal, technological and environmental trends on real estate valuations.
Initially incorporated in 2022 under the name Climate Alpha, the company received funding from Enterprise Singapore. The founding team also included:
Abraham Wu as Chief Technology Officer
Kailash Prasad as Director of Research
Mehroz Ahmad as Principal Software Engineer
Xiao You Mok as Chief Strategy Officer
Greg Lindsay as Director of Communications and Industry Relations
Chris Marlin (former president of Lennar International) as Chairman
Dr. Michael Ferrari as Chief Scientific and Investment Officer
OUR VISION
AlphaGeo aspires to future proof civilization against rising uncertainty and volatility. We are inspired by Charles Darwin’s view that adaptation is the central mechanism for evolution and seek to apply it at the societal level, from the local to the global.
We pursue geographical omniscience by way of georeferencing a vast array of datasets – including those we engineer through proprietary geospatial data science methods – as well as mapping spatial relationships and generating predictive analytics.
Our mission is to reprogram geography by guiding our stakeholders toward resilient investments that more productively and fairly optimize the world’s natural resources, economic assets, human capital and governance capacity.
It is not the strongest of the species that survives, nor the most intelligent. It is the one that is most adaptable to change.
GEOGRAPHY x MATHEMATICS
Quantitative approaches to the spatial world
We draw on interdisciplinary foundations to model complex Earth Systems processes:
Our spatial finance approach captures the dynamic relationship between climate and markets by applying network analysis, machine learning and econometric tools
Our cartographic software transforms these spatial and temporal datasets into scenario visualizations and trend simulations
Our generative AI toolkit enables spatial reasoning for that empower decisions that promote societal resilience
Actionable Metrics
Engineered Features
Spatially Indexed Locations
Unique Data Points