InCloud Manager
Cloud-managed networking, now with an AI Agent for device operations.
Manage device operations through natural-language conversations, from monitoring and diagnostics to configuration, firmware upgrades, alerts, and bulk tasks, with permissions, confirmations, and activity logs in place.
InCloud Manager
Manage device operations through natural-language conversations, from monitoring and diagnostics to configuration, firmware upgrades, alerts, and bulk tasks, with permissions, confirmations, and activity logs in place.
Cloud-Based Network Management, Powered by an AI Agent
Centralized cloud management
Simple and straightforward management interface with multiple graphical data.Easily configuration and upgrades.
AI Agent for Device Operations
Describe what you need in natural language. The AI Agent helps retrieve device information, analyze issues, prepare actions, and guide the next step.
Remote access
It enables remote access and maintenance of devices and ensures continuous data delivery to data centers.
SD-WAN for faster branch connectivity
Integrating SD-WAN technologies, InCloud Manager renovates traditional WANs with agile deployment, lower costs, and enhanced access experience.
Mobile App, control business in hand
Use the mobile app to scan and connect devices to the cloud, with anytime, anywhere monitoring and management.
Centralized cloud management
Simple and straightforward management interface with multiple graphical data.Easily configuration and upgrades.
AI Agent for Device Operations
Describe what you need in natural language. The AI Agent helps retrieve device information, analyze issues, prepare actions, and guide the next step.
Remote access
It enables remote access and maintenance of devices and ensures continuous data delivery to data centers.
SD-WAN for faster branch connectivity
Integrating SD-WAN technologies, InCloud Manager renovates traditional WANs with agile deployment, lower costs, and enhanced access experience.
Mobile App, control business in hand
Use the mobile app to scan and connect devices to the cloud, with anytime, anywhere monitoring and management.
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The O&M Challenge: Staffing Constraints and Efficiency Bottlenecks
One person can only manage a limited number of devices — scaling up means falling behind Routine inspection of dozens of devices requires hours of clicking through Web UIsExperienced network engineers are scarce and costly Troubleshooting an offline device means jumping through multiple pages — slow and tediousCustomers are geographically dispersed, making on-site visits expensive Signal quality requires manual lookup and comparison against standards
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Fault Diagnosis
1. Check device status AI Action：Confirm offline timestamp Finding：Last online at 10:232. Review online history AI Action：Analyze recent disconnect patterns Finding：3 dropouts in the past week, mostly at night3. Check signal records AI Action：Analyze RSRP trend Finding：Dropped from −95 to −112 dBm (weak signal range)4. Review system logs AI Action：Search for key events Finding：Modem reset events found5. Conclusion AI Action：— Finding：**"Persistent signal degradation causing frequent disconnects — recommend inspecting antenna"**
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AI-Powered O&M: Across-the-Board Efficiency Gains
Monthly device inspection Traditional Approach：Log into each device's Web UI individually — takes days With AI Network Assistant：Natural language instruction — complete report in minutesOffline device troubleshooting Traditional Approach：Browse multiple pages manually, make your own judgment With AI Network Assistant：AI auto-runs full diagnostic flow, delivers complete conclusionBatch config deployment Traditional Approach：Manual filtering, device-by-device execution With AI Network Assistant：Issue one instruction, batch execution runs automaticallyBulk firmware upgrade Traditional Approach：Manual device-by-device operation, manual progress tracking With AI Network Assistant：Unified initiation, staged execution, automatic progress reportingSignal quality audit Traditional Approach：Manually look up data and compare against standards With AI Network Assistant：AI auto-evaluates signal quality and delivers direct conclusions
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Transparent and Controllable — Every Step Visible
✅ Read-only operations unrestricted Query status, view alerts, analyze signal — zero risk, use anytime✅ Write operations require confirmation Modify config, upgrade firmware, reboot — changes displayed in full before execution, awaiting user confirmation✅ Operations tied to user account Every action is logged with the operator's identity; complete activity audit trail✅ Standardized execution flow Each operation follows the same process every time, regardless of who performs it — reducing human error risk
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Industry Applications
Retail Chain Convenience stores, cafes, pharmaciesATM / Financial Bank branches, payment terminalsIndustrial / Energy Production lines, power stations, mining sitesTraffic Monitoring Highways, urban traffic systemsMSP / System Integrator Multi-customer managed services
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Store outage — manager reports network down
Store outage — manager reports network down Traditional Approach：Remote page-by-page investigation, time-consuming With AI Network Assistant：AI locates root cause in minutes → **Significantly reduces business downtime**
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Monthly inspection — days of device-by-device review
Monthly inspection — days of device-by-device review Traditional Approach：Manual device-by-device audit With AI Network Assistant：AI generates complete report in minutes → **Problem stores automatically flagged**
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Pre-event network check — ahead of major promotion
Pre-event network check — ahead of major promotion Traditional Approach：Manual monitoring, ad hoc With AI Network Assistant：Real-time monitoring during event period → **O&M team has full visibility and confidence**
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New store rollout — push standard config to all new devices
New store rollout — push standard config to all new devices Traditional Approach：Manual device-by-device configuration With AI Network Assistant：Natural language batch instruction → **Dramatically reduces labor investment**
Specifications
-
The O&M Challenge: Staffing Constraints and Efficiency Bottlenecks
One person can only manage a limited number of devices — scaling up means falling behind Routine inspection of dozens of devices requires hours of clicking through Web UIsExperienced network engineers are scarce and costly Troubleshooting an offline device means jumping through multiple pages — slow and tediousCustomers are geographically dispersed, making on-site visits expensive Signal quality requires manual lookup and comparison against standards
-
Fault Diagnosis
1. Check device status AI Action：Confirm offline timestamp Finding：Last online at 10:232. Review online history AI Action：Analyze recent disconnect patterns Finding：3 dropouts in the past week, mostly at night3. Check signal records AI Action：Analyze RSRP trend Finding：Dropped from −95 to −112 dBm (weak signal range)4. Review system logs AI Action：Search for key events Finding：Modem reset events found5. Conclusion AI Action：— Finding：**"Persistent signal degradation causing frequent disconnects — recommend inspecting antenna"**
-
AI-Powered O&M: Across-the-Board Efficiency Gains
Monthly device inspection Traditional Approach：Log into each device's Web UI individually — takes days With AI Network Assistant：Natural language instruction — complete report in minutesOffline device troubleshooting Traditional Approach：Browse multiple pages manually, make your own judgment With AI Network Assistant：AI auto-runs full diagnostic flow, delivers complete conclusionBatch config deployment Traditional Approach：Manual filtering, device-by-device execution With AI Network Assistant：Issue one instruction, batch execution runs automaticallyBulk firmware upgrade Traditional Approach：Manual device-by-device operation, manual progress tracking With AI Network Assistant：Unified initiation, staged execution, automatic progress reportingSignal quality audit Traditional Approach：Manually look up data and compare against standards With AI Network Assistant：AI auto-evaluates signal quality and delivers direct conclusions
-
Transparent and Controllable — Every Step Visible
✅ Read-only operations unrestricted Query status, view alerts, analyze signal — zero risk, use anytime✅ Write operations require confirmation Modify config, upgrade firmware, reboot — changes displayed in full before execution, awaiting user confirmation✅ Operations tied to user account Every action is logged with the operator's identity; complete activity audit trail✅ Standardized execution flow Each operation follows the same process every time, regardless of who performs it — reducing human error risk
-
Industry Applications
Retail Chain Convenience stores, cafes, pharmaciesATM / Financial Bank branches, payment terminalsIndustrial / Energy Production lines, power stations, mining sitesTraffic Monitoring Highways, urban traffic systemsMSP / System Integrator Multi-customer managed services
-
Store outage — manager reports network down
Store outage — manager reports network down Traditional Approach：Remote page-by-page investigation, time-consuming With AI Network Assistant：AI locates root cause in minutes → **Significantly reduces business downtime**
-
Monthly inspection — days of device-by-device review
Monthly inspection — days of device-by-device review Traditional Approach：Manual device-by-device audit With AI Network Assistant：AI generates complete report in minutes → **Problem stores automatically flagged**
-
Pre-event network check — ahead of major promotion
Pre-event network check — ahead of major promotion Traditional Approach：Manual monitoring, ad hoc With AI Network Assistant：Real-time monitoring during event period → **O&M team has full visibility and confidence**
-
New store rollout — push standard config to all new devices
New store rollout — push standard config to all new devices Traditional Approach：Manual device-by-device configuration With AI Network Assistant：Natural language batch instruction → **Dramatically reduces labor investment**
Downloads
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Learn More →Frequently Asked Questions
What does InCloud Manager offer?
InCloud Manager is InHand’s cloud-based network management platform for business branches and hybrid workplaces. It integrates InHand edge routers, access points, and switches into a single cloud-managed solution covering branch networking, SD-WAN, and centralized device operations. Highlights from the v3.1 brochure:
| Portal URL | star.inhandcloud.com |
| Three pillars | Network Visualization, SD-WAN, Simplified Management |
| Hardware families | 5G SD-WAN Edge Routers (ER series), Wi-Fi 6 AP (EAP series), Cloud-Managed Enterprise Switches (ES series), 5G FWA, High-Performance Enterprise Routers (ER2000), 5G ODU |
| Tiers | Essential (core management) and Professional (adds Connector remote access + SD-WAN Overlay Networking) |
Application targets: retail stores, chain branches, digital leisure arcades, healthcare, enterprise offices, hybrid workplaces.
How do I add a new device to InCloud Manager?
Devices are added in two steps: ensure the device has internet connectivity, then add the device on the portal by serial number.
1. Make sure the device has internet connection (Ethernet WAN with DHCP/static/PPPoE, cellular, or Wi-Fi STA — configured from the device’s local web GUI).
2. Add the device on the portal:- Sign in at
https://star.inhandcloud.com. - In the Devices menu, click Add.
- Enter the device name, serial number, and MAC address (all from the device label).
- Click Save.
How do I remotely access devices and their downstream endpoints?
InCloud Manager offers two complementary networking modes for remote access (Professional tier):
A. Connector Network — VPN tunnel between the cloud and a device, so an engineer can reach the router’s web GUI and any downstream endpoint (PLC, HMI, IP camera, IP phone, etc.) without going on site.
To configure:
- Create a Connector network — click Add under Networks, enter the network name, Save.
- Add devices — pick the devices to include and assign each a subnet address (Auto or Manual, range
10.16.32.0/24–10.31.255.0/24). The platform automatically assigns each device a virtual IP and establishes a VPN tunnel. - Add endpoints — enter endpoint name + LAN IP, pick the parent device, and assign the endpoint’s virtual IP (Auto or Manual). Up to 243 endpoints per device.
- Configure accounts — assign engineer accounts a Float or Static virtual IP.
- Install the Connector client (MacOS / Windows / iOS / Android), import the account config, and click CONNECT to bring up the VPN.
- Open the router’s web GUI remotely via its virtual IP — exactly as if you were on-site (per the user manual: *”users can use this virtual IP to remotely access the local web management interface of the router device”*).
- Access endpoints behind the router (PLCs, HMIs, IP phones, cameras, controllers, VoIP, IPCs) for maintenance, program downloads, or fault diagnosis.
Once the tunnel is up:
What monitoring and management features are available?
These features are on both Essential and Professional tiers:
| Feature | Description |
| Individual/Bulk Device Configuration | Remote configure devices through GUI |
| Individual/Bulk Device Upgrade | Remotely upgrade firmware with flexible scheduling |
| Device Management by Group | Classify devices by business needs |
| Remote Control Command | Remote reboot, factory reset |
| Connection Status Statistics | Device connection status, network type |
| Network Status Analysis | Interface and link status, traffic consumption |
| Network Quality Monitoring | Cellular signal, delay, jitter, packet loss, throughput |
| Client Statistics | Per-client information, connection status, traffic consumption |
| Remote Diagnostic Tool | Diagnostic logs, Ping, Traceroute, packet capture, event analysis |
| Geolocation Management | GPS / base-station / manual positioning; map view |
| Alert Policy | CPU, link, cellular-traffic alarms with SMS / email / app notifications |
| MFA | Account multi-factor authentication |
| InCloud Manager APP | Scan-code device configuration, mobile network-status monitoring |
Security strategies (per the brochure): data encryption in transit, unified identity authentication, access control, threat identification — with privacy policies ensuring core business data is not uploaded to the cloud.