Build a Custom IoT Dashboard Using AI in Minutes
Describe your Iot Dashboard in plain English and create a production-ready build, from design and development to deployment, in minutes. No code needed.
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Emergent Key Features for Building an IoT Dashboard
Ingestion, storage and threshold evaluation generated so a stream of readings becomes a manageable operational view.
Ingestion Written for You
MQTT, API polling or platform connections are generated with buffering and reconnection, which is the part of IoT work that usually fails quietly.
Missing Data as a Signal
Devices that stop reporting within their expected interval are flagged, because silence is the most common indication of device failure.
Per Device Thresholds
Limits can differ by device type, site or customer, so a fleet across varied conditions does not produce constant meaningless alerts.
Reading History Retained
Time series data is stored, letting you see a gradual drift toward failure rather than only the current value.
Geographic Fleet View
Devices are plotted with status and clustering, so a regional connectivity problem is obvious rather than appearing as scattered failures.
Customer Scoped Views
The same build can present a customer only their own devices, turning internal monitoring into a service you can offer.
IoT Dashboard Use Cases You Can Build in Minutes

Catch the Devices That Went Silent
Total devices by online, degraded and offline status, devices not reporting within their expected interval, battery levels below threshold, signal strength by site, firmware versions in the field and devices offline longest.
window.awbMockup = { deviceFleetHealth: "Build an IoT fleet dashboard showing total devices by status of online, degraded and offline, devices not reporting within their expected interval, battery level distribution with devices below threshold, signal strength by site, firmware versions in the field, and devices offline longest.", liveSensorReading: "Build an IoT sensor dashboard showing current readings per device with unit and timestamp, readings outside configured thresholds highlighted, time series charts for any selected device, comparison of the same reading across devices at one site, and the last 24 hours of threshold breaches.", deviceLocation: "Build an IoT geographic dashboard plotting every device on a map with status colouring, clustering where devices are dense, filters by site, customer and device type, devices that moved outside an expected area, and a summary of device counts and alert counts per region.", alertsAndMaintenance: "Build an IoT operations dashboard showing active alerts by device and type with duration, devices with repeated alerts over 30 days, maintenance visits logged against devices, devices due for scheduled service, firmware update rollout progress, and alerts resolved by remote reset against those needing a site visit."};

See Drift before Something Fails
Current readings per device with unit and timestamp, readings outside configured thresholds highlighted, time series for any selected device, comparison across devices at one site and the last day of threshold breaches.
window.awbMockup = { deviceFleetHealth: "Build an IoT fleet dashboard showing total devices by status of online, degraded and offline, devices not reporting within their expected interval, battery level distribution with devices below threshold, signal strength by site, firmware versions in the field, and devices offline longest.", liveSensorReading: "Build an IoT sensor dashboard showing current readings per device with unit and timestamp, readings outside configured thresholds highlighted, time series charts for any selected device, comparison of the same reading across devices at one site, and the last 24 hours of threshold breaches.", deviceLocation: "Build an IoT geographic dashboard plotting every device on a map with status colouring, clustering where devices are dense, filters by site, customer and device type, devices that moved outside an expected area, and a summary of device counts and alert counts per region.", alertsAndMaintenance: "Build an IoT operations dashboard showing active alerts by device and type with duration, devices with repeated alerts over 30 days, maintenance visits logged against devices, devices due for scheduled service, firmware update rollout progress, and alerts resolved by remote reset against those needing a site visit."};

Spot a Regional Problem on a Map
Every device plotted with status colouring and clustering where dense, filters by site, customer and device type, devices that moved outside an expected area and device and alert counts per region.
window.awbMockup = { deviceFleetHealth: "Build an IoT fleet dashboard showing total devices by status of online, degraded and offline, devices not reporting within their expected interval, battery level distribution with devices below threshold, signal strength by site, firmware versions in the field, and devices offline longest.", liveSensorReading: "Build an IoT sensor dashboard showing current readings per device with unit and timestamp, readings outside configured thresholds highlighted, time series charts for any selected device, comparison of the same reading across devices at one site, and the last 24 hours of threshold breaches.", deviceLocation: "Build an IoT geographic dashboard plotting every device on a map with status colouring, clustering where devices are dense, filters by site, customer and device type, devices that moved outside an expected area, and a summary of device counts and alert counts per region.", alertsAndMaintenance: "Build an IoT operations dashboard showing active alerts by device and type with duration, devices with repeated alerts over 30 days, maintenance visits logged against devices, devices due for scheduled service, firmware update rollout progress, and alerts resolved by remote reset against those needing a site visit."};

Decide Between a Reset and a Site Visit
Active alerts by device and type with duration, devices with repeated alerts over thirty days, maintenance visits logged, devices due for service, firmware rollout progress and alerts resolved remotely against those needing a visit.
Decide Between a Reset and a Site Visit
Active alerts by device and type with duration, devices with repeated alerts over thirty days, maintenance visits logged, devices due for service, firmware rollout progress and alerts resolved remotely against those needing a visit.
Build a custom IoT dashboard in 4 simple steps
Monitor a fleet of connected devices with live readings, health and location in one view, so a failing sensor is found without checking each one.
Start with the readings your sensors produce, the thresholds that indicate a problem, device health signals such as battery and connectivity, and how devices group by site or customer. Emergent builds around your fleet structure.
Point Emergent at your MQTT broker, device API, time series database or cloud IoT platform. It handles ingestion, stores readings for history, and evaluates thresholds per device so a fleet of thousands is manageable.
Ask to include a new sensor type, change a threshold per site, add a customer grouping or adjust the map view, and it applies across the fleet. Scaling deployments does not mean rebuilding.
Publish one link with an internal fleet view and, where relevant, a customer facing view scoped to their own devices. Monitoring becomes something you can offer rather than something you do privately.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
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Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
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