During our tenure at ARPA-E, we partnered to build a software platform that harnessed the power of machine learning to track and improve the impact of research funding. At the time, Ann was also directing an R&D program that uses integrated transportation and energy models to identify emission reduction strategies from the transportation sector.

Two things became apparent through that experience:

1. the only meaningful strategy to decarbonize the transportation sector is through electrification
2. advanced simulation tools can break down the information barrier to vehicle electrification that stands between the transportation and electric power sectors

So Ann went back to R&D at the Texas A&M Transportation Institute, where she created a uniquely scalable toolkit that could utilize transportation data to predict future electric vehicle (EV) demand and project its impact on utility grids, city infrastructure, and overall emissions. She reached back out to Patrick to spin out a new company dedicated solely to ensuring that the transition to electric transport be as quick and efficient as possible. Thus, ElectroTempo was born.