Geospatial Analytics for Infrastructure Investment
Biospheric AI is an MIT spin-off company using remote sensing data and geospatial AI to forecast electricity and heating demand for every building on the planet.
Our Mission
Driving data-informed transformation across energy, climate, and economic systems.
Providing geospatial intelligence and predictive insights to shape resilient infrastructure, policy, and investment.
About us
Our Expertise
Our founding team has over 25 years of experience at leading institutions focused on the intersection of data and energy.
U.S. Energy Demand and Grid Stress
Developing state-of-the-art computational methods for comprehensive heating and electricity demand and grid stress forecasting.
EMDE Electricity Consumption
Deploying novel AI methods we developed at MIT for state-of-the-art electricity consumption estimates and forecasts.
EMDE Economic Growth
Pioneering analytic services that leverage machine learning to estimate and forecast Gross Regional Product (GRP) to support economic planning and global commerce.
Featured Product - U.S. Focus:
U.S. Power Sector demand and grid stress forecasting
Probabilistic, hourly, building-level demand forecasts that help utilities plan confidently amid electrification, EV adoption, climate volatility, and data center growth.
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Featured Project - Global Focus:
Open Energy Maps® open data platform
State-of-the-art building-level electricity access and demand estimates to enable energy planning optimization and investment de-risking in low- and middle-income countries worldwide
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Who We Work With
Collaborators and Sponsors
News
Latest Updates
MARCH 2024 | IEA
Africa’s electricity access planner’s turn to geospatial mapping
This open-source model uses satellite images and available footprints of all buildings across Africa, then pairs that with the utility meter data on...
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MARCH 2024 | IEA
Data-Driven Electrification in Africa
A project by IEA and Power Africa to support African governments as they develop improved programmes and policies to accelerate electricit...
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MARCH 2024 | IEA
Digital Tools for Energy Planners to Boost Electrification in Africa
This week, we launched two new digital tools with the International Energy Agency (IEA) offering vital data to energy planners working to boost electrif...
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NOVEMBER 2024 | Energy for Growth Hub
Tracking the Modern Energy Minimum
The Energy for Growth Hub's 'Modern Energy Minimum' (MEM) provides more ambitious thresholds for the provision of electricity services beyond current goals for universal electricity access...
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MAY 2025 | MIT Energy Initiative
Published new paper on state-of-the-art heating and electricity demand estimates.
Our paper presents a novel framework for high-resolution forecasting of residential heating and electricity demand using probabilistic deep learning models. We focus specifically on providing hourly building-level electricity and heating demand forecasts for the residential sector....
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Geospatial Analytics for Infrastructure Investment
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