Project finance and risk analysis company EverVest has created a data analytics platform which offers investors accurate financial risk analysis for renewable energy projects. The platform, called the Renewable Energy Risk Index, is designed to help companies understand how their projects will perform in terms of cost per kilowatt hour (kWh) or carbon dioxide emissions (CO2) over time. ’s Computer Science and Artificial Intelligence Laboratory (CSAIL) carried out by EverVest’s cofounder Teasha Feldman. The software utilises factors such as location, contracts, equipment, weather conditions and costings to produce an accurate rate of return estimate. The software can be used for solar energy projects, water treatment plants, recycling facilities and waste-to-energy projects amongst others.
Project finance and risk analysis company EverVest has created a data analytics platform which offers investors accurate financial risk analysis for renewable energy projects. The company, backed by investment platform Ultra Capital, based its technology on research from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) carried out by EverVest’s cofounder Teasha Feldman. The software utilises factors such as location, contracts, equipment, weather conditions and costings to produce an accurate rate of return estimate. The software can be used for solar energy projects, water treatment plants, recycling facilities and waste-to-energy projects amongst others.