Build an IoT SaaS in Minutes With AI
Create your iot saas in minutes with AI. Add user accounts, billing, and backend from a prompt, and launch without coding.
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Emergent Key Features for Building an IoT SaaS
Devices go offline, batteries die and firmware updates fail halfway. The platform is judged on how it handles all three.
Silence Detected as an Event
A device that stops reporting is flagged against its expected interval, because absence of data is the signal that matters and nothing else will raise it.
Ingestion That Survives Reconnection
Devices offline for hours upload buffered readings on reconnection, and those readings are stored against when they occurred rather than when they arrived.
Firmware Rollouts in Stages
Updates go to a small group first with success monitored before wider release, since a bad firmware push to a whole fleet is not recoverable remotely.
Provisioning at Fleet Scale
Devices are registered, credentialed and assigned to a customer without manual steps, because doing this by hand caps how many units you can deploy.
Storage That Does Not Bankrupt You
High frequency data is downsampled on a retention schedule, keeping recent detail and long term trend without paying to store every reading forever.
Thresholds per Deployment
What counts as normal differs by site and installation, so alerting is configured per deployment rather than as one global rule that is wrong somewhere.
IoT SaaS Use Cases You Can Build in Minutes
Find the Devices That Went Quiet
Devices by online, degraded and offline state, anything not reporting within its expected interval, battery levels below threshold, signal strength by site, and devices offline longest ranked by importance.
window.awbMockup = { fleetMonitoring: "Build a device fleet monitor showing devices by online, degraded and offline state, flagging any device that has not reported within its own expected interval, battery levels below threshold, signal strength by site, firmware versions in the field, and devices offline longest ranked by importance.", telemetryAndAlerts: "Build a telemetry view showing current readings per device with units and timestamps, thresholds configured per deployment rather than globally, readings outside range highlighted, full resolution time series for any selected device, and comparison across devices at the same site.", deviceLifecycle: "Build a device lifecycle app handling registration and credentialing at scale, assignment to customers and sites, staged firmware rollouts where a small group updates first and success is confirmed before wider release, and firmware version distribution across the whole fleet.", customerPortal: "Build a customer facing IoT portal where each customer sees only their own installations with current readings, alert history and maintenance status, scoped so no customer can reach another's devices, and branded to match their business rather than yours."};
Readings With Thresholds That Fit the Site
Current values with units and timestamps, thresholds configured per deployment rather than globally, readings outside range highlighted, and time series available at full resolution for any device.
Readings With Thresholds That Fit the Site
Current values with units and timestamps, thresholds configured per deployment rather than globally, readings outside range highlighted, and time series available at full resolution for any device.
Provisioning and Firmware Without Manual Steps
Registration and credentialing at scale, assignment to customers and sites, staged firmware rollouts with success monitored before wider release, and version distribution across the fleet.
window.awbMockup = { fleetMonitoring: "Build a device fleet monitor showing devices by online, degraded and offline state, flagging any device that has not reported within its own expected interval, battery levels below threshold, signal strength by site, firmware versions in the field, and devices offline longest ranked by importance.", telemetryAndAlerts: "Build a telemetry view showing current readings per device with units and timestamps, thresholds configured per deployment rather than globally, readings outside range highlighted, full resolution time series for any selected device, and comparison across devices at the same site.", deviceLifecycle: "Build a device lifecycle app handling registration and credentialing at scale, assignment to customers and sites, staged firmware rollouts where a small group updates first and success is confirmed before wider release, and firmware version distribution across the whole fleet.", customerPortal: "Build a customer facing IoT portal where each customer sees only their own installations with current readings, alert history and maintenance status, scoped so no customer can reach another's devices, and branded to match their business rather than yours."};
Let Customers See Their Own Devices
Each customer viewing only their installations with current readings, alert history and maintenance status, scoped so no customer can reach another's data, and branded to match their business.
window.awbMockup = { fleetMonitoring: "Build a device fleet monitor showing devices by online, degraded and offline state, flagging any device that has not reported within its own expected interval, battery levels below threshold, signal strength by site, firmware versions in the field, and devices offline longest ranked by importance.", telemetryAndAlerts: "Build a telemetry view showing current readings per device with units and timestamps, thresholds configured per deployment rather than globally, readings outside range highlighted, full resolution time series for any selected device, and comparison across devices at the same site.", deviceLifecycle: "Build a device lifecycle app handling registration and credentialing at scale, assignment to customers and sites, staged firmware rollouts where a small group updates first and success is confirmed before wider release, and firmware version distribution across the whole fleet.", customerPortal: "Build a customer facing IoT portal where each customer sees only their own installations with current readings, alert history and maintenance status, scoped so no customer can reach another's devices, and branded to match their business rather than yours."};
Build your IoT SaaS in four steps
What each device reports and how often, expected intervals, what counts as out of range at each site, battery and connectivity expectations, and who owns which installation.
What each device reports and how often, expected intervals, what counts as out of range at each site, battery and connectivity expectations, and who owns which installation.
AWS IoT, MQTT or your own broker for ingestion, a time series store for readings, and Twilio or email for alerts. Buffered uploads from offline devices are stored against when they occurred.
Staged updates to a small group first, new device types, changed thresholds per site, an extra alert rule. Devices on older firmware keep reporting throughout the rollout.
Prove ingestion, offline recovery and alert routing on a single installation. Scale once a device going quiet reliably reaches the right person.
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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.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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