Evenergi provides a software platform that optimizes fleet data to create actionable transition plans for zero emissions transport, focusing on vehicle replacements and energy infrastructure requirements. The platform enables organizations to manage the complexities of transitioning to electric vehicle fleets while minimizing operational risks and maximizing economic and environmental benefits.
Funding
$10.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face significant challenges in transitioning to zero-emission vehicle fleets, including complex planning for vehicle replacements, energy infrastructure requirements, and managing operational risks. They need accurate data-driven insights to minimize costs and maximize environmental benefits during this transition.
Solution
Evenergi's BetterFleet platform provides a comprehensive solution for organizations transitioning to zero-emission transport. The platform transforms fleet data into actionable transition plans, optimizing vehicle replacements and energy infrastructure deployment. It enables powerful scenario planning to manage risks, deep dives into individual vehicle optimization, and the development of procurement strategies based on vehicle-level data. BetterFleet also offers features for energy and battery management, reporting, and budgeting, providing complete control over the transition process.
Target Audience
The primary target audience includes bus operators, transit authorities, public sector organizations, freight and logistics companies, electricity network operators, and utilities seeking to optimize their transition to zero-emission transport.
Features
- Fleet data transformation into operationally robust transition plans.
- Scenario planning for risk management and vehicle optimization.
- Energy and battery management tools.
- Reporting and budgeting functionalities.
- Digital twin emulation for understanding future charging infrastructure needs.
- Sensitivity analysis for understanding potential future states based on various assumptions.
- Real-time network control interventions.