Quincy Lee of Electric Era

Quincy Lee, the CEO and founder of Electric Era, discusses the company's mission to build EV fast charging stations and improve the charging experience for EV drivers. They focus on reliability and aim to achieve a 99.9% success rate. Electric Era uses a battery-backed system, edge compute technology, and a vertically integrated software stack to ensure reliable and seamless charging. They are expanding their charging network across the country, with a focus on high EV density areas. The company also provides a machine learning model to help customers determine the best locations for charging stations based on driver density and financial viability. Electric Era is focused on providing reliable and efficient EV charging infrastructure. They prioritize the driver experience and aim to make charging seamless and hassle-free. They have a vertically integrated software system that ensures the stations are online and operational, and they monitor the fleet in real-time to quickly address any issues. Their charging stations currently have a peak power of 200 kW, but they are working on a V3 product that will have even higher power capabilities. Electric Era is committed to continuous improvement and innovation in the EV charging space.

Takeaways

1. Electric Era prioritizes reliability and aims for a 99.9% success rate in charging sessions.
2. Electric Era uses a battery-backed system, edge compute technology, and a vertically integrated software stack to ensure seamless charging experiences, with a focus on high EV density areas. Along with leveraging software to ensure the stations are online, operational and haven't been tampered with.
3. Customers can use a machine learning model provided by Electric Era to determine financial viability along with the best locations for charging stations.
4. Their charging stations currently have a peak power of 200 kW, but they are working on a V3 product with even higher power capabilities.

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Keywords
EVs, EV charging, Electric Era, reliability, battery-backed system, edge compute, software stack, charging network, machine learning, driver density, financial viability, EV charging, reliability, driver experience, software, power capabilities, innovation