ergLocale
Erg provides an autonomous operating system for electric vehicle fleets that integrates vehicles, chargers, energy meters, and drivers into a single platform. Its software automates dispatch-aware charging, load balancing, and predictive maintenance to reduce charging costs by up to 70% and keep vehicles ready, while also offering tools to design solar‑plus‑BESS energy infrastructure and compare EV economics for commercial use.
- Artificial Intelligence
- Automotive Technology
- Energy
- Enterprise Software
Funding
Founders
Product
Problem
Fleet operators and charging service providers struggle to coordinate vehicles, chargers, and energy resources efficiently, leading to high electricity costs, frequent downtime, and difficulty forecasting the economic viability of transitioning to electric vehicles.
Solution
Erg delivers an autonomous operating system that unifies telematics, charger management, energy meters, and driver inputs into a single platform. By ingesting live data and learning each fleet’s usage patterns, the system automatically schedules dispatch‑aware charging and performs load‑balancing to reduce energy expenses by up to 70%. Predictive alerts identify potential issues before they cause downtime, while an integrated energy‑brain module designs optimal solar, battery‑storage, and grid configurations and executes tariff‑aware charging strategies. The platform also offers a comparison tool that models EV versus ICE economics for specific routes and locations, producing decision‑ready reports for stakeholders. All functionality is accessed through a unified command‑center dashboard that requires no hardware changes to existing charging infrastructure.
Target Audience
Primary customers are commercial EV fleet operators, third‑party charging network operators, and energy service providers that need to maximize uptime, minimize charging costs, and evaluate EV adoption economics.
Features
- Real‑time integration of vehicle telematics, OCPP‑compatible charger control, and energy‑meter data in a single command center
- Dispatch‑aware charging and dynamic load‑balancing algorithms that can cut electricity costs up to 70%
- Predictive maintenance alerts based on learned fleet patterns to prevent vehicle or charger downtime
- Energy‑brain optimizer that sizes solar, battery‑energy‑storage‑system (BESS), and grid resources and performs tariff arbitrage, demand‑charge management, and solar‑aware scheduling
- “erg Compare” modeling engine that generates side‑by‑side ICE vs EV cost analyses and scenario reports for any city and daily mileage
- API‑first design that integrates with existing charging hardware and fleet management systems without requiring hardware replacement