ElectroTempo
ElectroTempo is a software firm specializing in de-risking major electric vehicle (EV) investments through advanced analytics. Founded by transportation specialist Dr. Ann Xu and energy technology commercialization specialist Patrick Finch, the company leverages deep subject matter expertise in transportation and utility infrastructure planning. Their data-driven projections help customers accurately assess the costs, benefits, and risks associated with EV adoption and infrastructure needs. ElectroTempo's core offering is a unified predictive analytics solution that drives fleet electrification, providing hour-by-hour EV charging demand forecasts at a street-block level. They serve electric utilities by helping them plan optimized charging networks to meet the needs of next-generation fleets, and fleet management companies by providing analytics to assess electrification feasibility, track emissions, and reduce costs. The company's solutions are built on machine learning tools and travel demand data, integrating fleet operations and utility data to forecast EV demand and optimize charging infrastructure investment for utility, government, and commercial clients. ElectroTempo aims to be the analytic backbone of strategic planning for EV investment, accelerating EV deployment for a cleaner future.
ElectroTempo
ElectroTempo is a software firm specializing in de-risking major electric vehicle (EV) investments through advanced analytics. Founded by transportation specialist Dr. Ann Xu and energy technology commercialization specialist Patrick Finch, the company leverages deep subject matter expertise in transportation and utility infrastructure planning. Their data-driven projections help customers accurately assess the costs, benefits, and risks associated with EV adoption and infrastructure needs. ElectroTempo's core offering is a unified predictive analytics solution that drives fleet electrification, providing hour-by-hour EV charging demand forecasts at a street-block level. They serve electric utilities by helping them plan optimized charging networks to meet the needs of next-generation fleets, and fleet management companies by providing analytics to assess electrification feasibility, track emissions, and reduce costs. The company's solutions are built on machine learning tools and travel demand data, integrating fleet operations and utility data to forecast EV demand and optimize charging infrastructure investment for utility, government, and commercial clients. ElectroTempo aims to be the analytic backbone of strategic planning for EV investment, accelerating EV deployment for a cleaner future.
TL;DR
What they do: ML-driven, hour-by-hour EV charging demand forecasts and infrastructure planning analytics
Customers: Electric utilities, fleets, cities, and developers
Founders: Dr. Ann (Yanzhi) Xu (Co‑Founder & CEO) and Patrick Finch (Co‑Founder & COO)
Founded: 2020
Latest known funding: Seed round announced Aug 16, 2023 (~$4–6M reported)
Company Overview
Problem Domain
Electric vehicle charging demand forecasting and infrastructure planning
Founded
2020
Industry
DeepTech
Tech Stack
Funding Track Record
~$4,000,000–$6,000,000
Reported seed round with participation from investors including Schematic Ventures and ZEBOX Ventures; company materials also reference SpringTime Ventures
Investor Signal
“Buoyant Ventures led the seed; participation from early‑stage investors focused on climate/energy and mobility”