ZedIoT IoT Cloud Platform
An IoT platform for device access, remote monitoring, alarms, work orders, data analysis, and AIoT application development. It supports source-code delivery, private deployment, multi-protocol access, and industry-specific customization.
An IoT platform base for enterprise device operations and customization
ZedIoT covers device access, product modeling, data collection, remote control, alerts, work orders, visualization, permissions, APIs, and AI extensions. It is a practical base for customers that need private deployment, compliance control, industry workflows, or source-code delivery.
- Device maker cloud platforms
- Industrial equipment remote service
- Multi-site equipment operations
- AIoT business system foundation
ZedIoT turns device data into an operable business system
The hard part of IoT platforms is long-term maintainability: device model, permissions, alarms, work orders, reports, APIs, and industry workflows. ZedIoT is designed for source delivery, private deployment, and deep customization.
- Device access, product model, alarms, work orders, and reports
- Private cloud, local server, or customer operations environment
- Extendable business modules and API integration
What this product looks like in a real workflow
Device operations center
Manage products, devices, attributes, events, alarms, and reports in one operations platform.
AIoT application base
Connect AI recognition, edge gateways, and automation workflows to turn data into action.
Product capabilities that matter in deployment
Each capability is designed around real operating conditions, not isolated hardware parameters.
Device access and product model
Model products, devices, properties, events, and services across different device types.
Data collection and analysis
Use device data for monitoring, history, alarms, reports, and business analysis.
Private deployment and permissions
Support private cloud, local server, hybrid deployment, and role-based access.
AIoT extensions
Add LLM assistants, vision recognition, edge computing, and automation workflows.
Platform projects should define data governance, permissions, and operations first
The page emphasizes software platform capability, private delivery, and business extension instead of only showing hardware.
- Define device properties, events, and services by product model
- Design permissions by organization, role, and device scope
- Include APIs, logs, upgrade strategy, and operations documentation
From field data to a managed product workflow
Device access layer
Connect devices through MQTT, HTTP, gateways, serial converters, or industry protocols.
Data and rules layer
Handle device models, storage, rules, alarms, and metrics.
Business application layer
Provide monitoring, work orders, reports, assets, remote control, and industry modules.
AIoT capability layer
Integrate AI recognition, anomaly analysis, assistants, and automation.
Product configuration, capabilities, and deployment details
These sections collect the practical information customers need for selection, integration, installation planning, and rollout evaluation.
Platform Capability Notes
ZedIoT supports device access, remote control, data analysis, visual dashboards, rules, device linkage, edge computing, and AI analysis. It can be delivered as a source-code project with public cloud, private cloud, or edge deployment options.
Core Platform Capabilities
Model products, connect devices, monitor status, parse data, control remotely, and manage the full device lifecycle.
Support real-time dashboards, history, reports, large-screen visualization, and data asset accumulation.
Turn device data into operations through rules, linkage, exception alerts, and service workflows.
Add AI analysis, device health, predictive maintenance, and industry-specific algorithms.
Where this product direction is a good fit
Industrial remote service
Device makers can monitor customer-site equipment health and faults remotely.
Multi-site equipment supervision
Manage refrigeration, commercial equipment, and sensors by store and region.
Device data assets
Turn runtime records into searchable, analyzable operational data.
AIoT intelligent applications
Build assistants, predictive maintenance, and recognition workflows on top of device data.
Define the business goal before finalizing the hardware list
These items help teams turn a product idea into an engineering brief that can be estimated and prototyped.
How we turn this into a deployable product
Business and device model design
Define products, properties, events, control services, and operating workflows.
Architecture and deployment design
Plan private deployment, database, messaging, permissions, monitoring, and operations.
Business module development
Build monitoring, alarms, work orders, reports, mobile workflows, and integrations.
Launch and operations handoff
Deliver migration, permissions, training, documents, and iteration process.
Build this product direction with ZedIoT
Tell us your target device, equipment scenario, current technical constraints, and the business workflow you want to support.
- AI + IoT product architecture review
- Hardware, firmware, cloud, and application integration
- Prototype planning and production support