Every device,
intelligently connected
JIMORE TECH builds the Jiwu AIoT Platform in house: device onboarding, data governance, visualization and AI-driven decisions in one pipeline, so scattered devices become manageable data assets.
- ✓ Built-in MQTT / Modbus gateways
- ✓ Drag-and-drop data screens
- ✓ AI agents that operate the platform
- ✓ On-premises deployment
One platform for the whole IoT project lifecycle
From product modeling to device onboarding, from data visualization to AI decisions, and on to third-party integration — no more stitching multiple systems together.
How data flows through the platform
Collect, model, present, decide — four steps form a closed, traceable data pipeline.
Already solving problems in these scenarios
Industries differ in devices and metrics, but the underlying onboarding, storage, visualization and AI capabilities are the same.
Documentation
Every module explained step by step: create a product, onboard a device, build a screen, use the AI assistant, open the API and deploy on premises.
Products
A product is the most basic concept in the platform: it describes what one kind of device looks like. Define the properties, events and services of similar devices once in a product, and every device you onboard afterwards reuses that definition instead of being configured one by one.
5 sections →Devices
Device management is about "this specific device". It is where devices are registered, monitored day to day, inspected for data, sent commands and tagged with a location — so it is the module operations staff spend most time in.
6 sections →Data Screens
Data screens turn device data into something you can put on a wall: drag components onto a canvas, bind device data and publish a shareable dashboard. No frontend code and no separate deployment are needed.
6 sections →AI Assistant
The AI Assistant is not a standalone chat tool but an agent that operates the platform itself: it wraps devices, products, commands, time-series data, the system and users into tools. You describe a goal in natural language and it picks tools, reads data, gives conclusions and sends commands when needed.
5 sections →Credentials & OpenAPI
When platform data has to reach a customer’s own systems, credentials plus OpenAPI do the integration. The credential decides which data can be read, the secret is stored only as a hash and shown once, and it can be revoked at any time.
4 sections →Protocol gateways
How a device delivers its data depends on the protocols it supports. The platform offers two paths: MQTT direct reporting and Modbus gateway polling. Which one you use depends on the device and the site conditions.
4 sections →On-premises deployment
On-premises deployment delivers the whole platform to a customer’s own servers or private cloud, with data never leaving the intranet. Container orchestration is provided, so all services can be started with one command once the environment is ready.
4 sections →FAQ
The questions that come up most often when evaluating a platform, answered up front.
Product What is the Jiwu AIoT Platform?
The Jiwu AIoT Platform is an IoT platform developed by JIMORE TECH that covers the full path from device onboarding to AI-driven decisions. It supports WiFi, cellular and wired connectivity together with MQTT and Modbus protocols, handles product thing model modeling, device registration and time-series storage in the middle, and provides drag-and-drop data screens, an AI Assistant and OpenAPI on top.
Onboarding Which device onboarding methods and protocols are supported?
The platform includes two protocol gateways, MQTT and Modbus. Devices can report directly over MQTT, or a Modbus gateway can poll PLCs and industrial PCs over TCP or RTU without changing existing production line logic. When modeling a product you can also mark the node type (direct connection, gateway or sub-device) and the connectivity (WiFi, cellular, wired and others).
Deployment Can it be deployed on premises, with data staying in our own data center?
Yes. The platform supports on-premises deployment, delivering the complete platform to your own servers or private cloud so data never leaves your intranet. The backend is a multi-module Spring Boot project and the frontend a React single-page application, depending on MySQL, Redis and InfluxDB, with Docker Compose orchestration and an Nginx reference configuration that start all services with one command.
AI What exactly can the AI capabilities do?
The AI Assistant is not a separate chat window but an agent that operates the platform itself. It wraps devices, products, command dispatch, device time-series data, conversation insights, the system and users into callable tools, so natural-language requests such as "show yesterday’s pressure curve for this device", "count the devices offline for more than an hour this week" or "change the target temperature on this floor to 26 degrees" can be carried out. Scheduled AI jobs can also run periodic inspections and produce reports.
Run the whole pipeline with a single device today
Register to open the Jiwu AIoT Platform: create a product, onboard a device and drag out a data screen, all online.