IoT Cloud Backend Development
The backend your devices depend on: identity, messaging, data pipelines and APIs that scale with the fleet.
Devices online
Uptime
Data deliveries a day
Fleet monitoring and support
The problem
Prototype backends do not survive thousands of devices: no device identity, no back-pressure, no multi-tenant model and no way to roll out changes safely.
Prototype backend
A backend built for 50 devices fails at 5,000.
No device identity
Shared credentials and manual registration create security and support problems.
Rising cloud cost
Unbounded telemetry and poor data models make every new device more expensive.
What we do
Backend services, infrastructure code, API documentation and runbooks.
Device identity, authentication and onboarding
Message brokers and ingestion pipelines
Time-series and event storage
APIs for apps, dashboards and partners
Infrastructure as code, monitoring and cost control
Device twin service: reported and desired state for every device, synced when it reconnects
Visual twins: a 2D or 3D view of your product driven by live device data
Our Engineering Process
From board bring-up to a maintained software stack you own.
1. Audit and plan
2. Bring-up
3. Feature development
4. Hardening
5. Handover and support
Related accelerators
Planning something similar?
Tell us where you are. A senior engineer replies within one business day.
Related services
FAQ
Which cloud do you use?
Can you take over an existing backend?
Do you build digital twins?
Talk to an engineer, not a salesperson
Idea, prototype, production or a fleet in the field: tell us where you are. A senior engineer replies within one business day.
Your benefits:
- Senior embedded engineers
- Hardware, firmware and cloud
- From prototype to fleet
- Clear scope and next steps
- Direct technical answers
- No sales pitch
What happens next?
A free 30-minute call with a senior engineer
A short technical discovery
A proposal with scope, timeline and cost