IAMMETER logo
Country
China
Website
https://www.iammeter.com
Manufacturer

IAMMETER

IAMMETER is an IoT energy monitoring provider offering Wi-Fi energy meters, cloud software, and open integration options for solar, residential, commercial, and industrial energy systems.

Overview

IAMMETER is an IoT energy monitoring provider offering Wi-Fi energy meters, cloud software, and open integration options for solar, residential, commercial, and industrial energy systems.

IAMMETER is based in China. For EnergyMeterHub users, IAMMETER stands out because its products sit in a practical middle ground: easier to integrate than many closed consumer platforms, but still accessible for homeowners, installers, and small commercial monitoring projects.

Product focus

  • Wi-Fi single-phase and three-phase energy meters for grid, solar, and sub-metering scenarios
  • Cloud dashboards for monitoring, historical reporting, alarms, and energy analytics
  • Integration-friendly workflows for Home Assistant, Modbus/TCP, MQTT, and custom automation

Typical applications

  • Tracking household consumption alongside solar generation and grid import/export
  • Adding submetering to rental units, workshops, and small business circuits
  • Feeding live energy data into local dashboards, automations, or optimization rules

Official website

Learn more at iammeter.com.

Current catalog entries from IAMMETER

Energy Meter

IAMMETER WEM3080

Wi-Fi / HTTP API / MQTT

A single-phase Wi-Fi energy meter for homeowners who want solar import/export tracking, app access, and a practical path into Home Assistant or other dashboards.

Energy Meter

IAMMETER WEM3080T

Wi-Fi / HTTP / MQTT / Modbus TCP

A more premium three-phase Wi-Fi meter for solar homes that want richer energy visibility, stronger long-term monitoring value, and better support for advanced dashboards.

Energy Meter

IAMMETER WEM3050T

Wi-Fi / HTTP / MQTT / Modbus TCP

A compact three-phase Wi-Fi meter for homeowners who want whole-home or solar monitoring in a smaller DIN-rail format without giving up local data options.