Renescout
Project Overview
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About
Renescout is a software platform designed to expedite energy prospect evaluation, catering to both established and emerging players in the renewable energy sector. Traditional evaluations, costly and time-consuming, can take up to 18 months and $3 million in investments. Renescout revolutionises this with AI, data mining, and remote sensing, efficiently assessing prospects like geothermal hotspots and lithium deposits. Using satellite imagery, diverse data sourcing, and quick economic modelling, Renescout delivers faster decisions, bypassing the hefty expenses of traditional methods.
Team
Sarah Sausan
Stanford University
Sarah Sausan is a PhD student in Energy Resources Engineering at Stanford University and a researcher at Stanford Geothermal Program. Prior to Stanford, she accumulated six years of professional experience in the energy industry, holding technical roles as a geoscientist and business roles as a product manager. She has a keen interest in the convergence of energy, technology, and entrepreneurship.
Arkanu Andaru
Australian National University
Keanu Andaru earned an MS from the Australian National University, Computer Science department. He consults on multi-million dollar energy exploration projects across Asia Pacific. He is passionate about merging earth science with data science to uncover vital natural resources for the energy transition.
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