Our algorithms require just three easily obtained inputs: GIS, climate, and monthly utility bill data.
Our cloud-based platform can perform thermal efficiency simulations for millions of buildings in just a few hours.
We provide recommendations of buildings to prioritize and which upgrade options are most cost-effective.
GreenAnalytix provides a wide range of energy efficiency products and solutions.
GreenAnalytix brings together a world class team of experts in energy modeling, big data analytics, visualization, and business.
Mohammad is a PhD candidate at MIT in the department of Civil and Environmental Engineering with a background in heat transfer and molecular and computational fluid dynamics. He integrates multi-scale modeling and finite element analysis with machine learning methods to unravel global energy efficiency issues.
Jake is an S.B. Engineering Sciences Candidate at Harvard University, research assistant at MIT, and is starting his PhD at MIT in Civil and Environmental Engineering in Fall 2014. His work focuses on applying statistical physics, Big Data, and visualization methods to problems related to sustainability of cities.
Jameson is a PhD candidate at MIT in the Engineering Systems Division with a background in physics and economics. He is a member of the Human Mobility and Networks Lab where his research leverages Big Data to understand how cities function and how to make them safer, more sustainable, and better places to live.
Professor Ulm is the George Macomber Professor and Faculty Director of Concrete Sustainability Hub in the department of Civil and Environmental Engineering at MIT. He is the world leading figure in construction materials, has published 150+ papers, authored 3 books, and several patents in the field of mechanics of building materials.
Professor Gonzalez is the Gilbert Winslow Career Development Assistant Professor in the Department of Civil and Environmental Engineering. Her work integrates methods of complex systems with statistical physics approaches, computational sciences, geographic information systems and network theory to characterize and model human dynamics.
Carlos is a PhD candidate at Univesidad Politécnica de Madrid and an MIT Big Data Fellow. His work so far has been focused on social networks defined by people's communication and how do they relate to human mobility.