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Stable Auto (also called Diatom Digital, Inc.)

STEX25
Active dates:

April 13, 2020 - April 13, 2020
STEX25
View Feature
STEX25 Participation:
April 13, 2020 - July 9, 2021
Company information
Contact

1999 Bryant Street
San Francisco, CA 94110
United States

https://www.stable.auto/
Keywords
EV Charging, machine learning, AI, electric vehicles
Elevator Pitch

Elevator Pitch

Stable’s team of data scientists and energy experts uses real charging data to help major U.S. utilities, consulting firms, and charging operators determine optimal location and utilization goals before installation.
Description

Description

Stable was created by former MIT researchers Rohan Puri and Jamie Schiel to accelerate investments in EV infrastructure by making them predictable and effective, paving the way for EV adoption in every corner of the globe. They built a straightforward enterprise software platform powered by comprehensive datasets and precision machine learning under the hood, to make it easy for anyone to use. Stable is currently working with major utilities, consulting firms, and pure-play charging operators of all sizes across the U.S. and has raised $7M from Trucks, MIT E14, Ubiquity Ventures, & Upside.
Technology Description

Technology Description

Stable’s team of Data Science/Machine Learning, Big Data, and UX/UI experts carefully optimized energy cost, incentives, equipment size, and location and built those capabilities into an Enterprise SaaS platform, applying precision machine learning and using comprehensive data including driver patterns and charging behavior, performance of nearby stations, EV density and more factors. The Stable Site Score uses a proprietary machine learning model to predict and categorize site utilization. Site comparisons and rankings make it easy to gauge new sites against millions of historical charging events, and test real build-out scenarios--including tariffs and incentives.