Software for the hardware you've already built
Device-to-cloud connectivity, live monitoring dashboards, and edge AI inference for IoT products — from a Raspberry Pi prototype to an industrial sensor network.
Building the hardware is usually only half the problem — the harder part is often the software layer that connects devices to the cloud, displays live telemetry in a dashboard, and makes sense of the data at scale. We build that layer: reliable device communication (typically over MQTT), cloud ingestion and storage, and dashboards your team or customers actually use.
For use cases where sending everything to the cloud is too slow or too expensive, we run inference directly on the edge device — object detection, anomaly flagging, or simple decision logic — so the response doesn't depend on round-tripping to a server.
What’s included
IoT Application Development
An application layer that connects to, controls, and reports on your connected devices.
IoT Dashboards & Device Monitoring
A dashboard showing live device status, telemetry, and alerts across your device fleet.
MQTT-based Systems
A lightweight messaging architecture built on MQTT for reliable device-to-cloud communication.
Raspberry Pi & Edge Devices
Custom software running directly on Raspberry Pi or similar edge hardware for your specific use case.
Industrial IoT
Connecting industrial equipment and sensors for monitoring, alerting, and operational visibility.
Edge AI & Computer Vision
Running inference directly on edge devices for use cases where cloud latency or connectivity isn't an option.
IoT Cloud Integration
Connecting your device fleet to a cloud platform for storage, processing, and remote management.
Explore specific services
Dedicated pages for each iot & edge ai service we offer, with full scope and FAQs.
IoT Application Development
An application layer that connects to, controls, and reports on your connected devices.
IoT Dashboards & Device Monitoring
A dashboard showing live device status, telemetry, and alerts across your device fleet.
MQTT-based Systems
A lightweight messaging architecture built on MQTT for reliable device-to-cloud communication.
Raspberry Pi & Edge Devices
Custom software running directly on Raspberry Pi or similar edge hardware for your specific use case.
Industrial IoT
Connecting industrial equipment and sensors for monitoring, alerting, and operational visibility.
Edge AI & Computer Vision
Running inference directly on edge devices for use cases where cloud latency or connectivity isn't an option.
IoT Cloud Integration
Connecting your device fleet to a cloud platform for storage, processing, and remote management.
What we deliver
- Reliable device-to-cloud communication, typically over MQTT, built for intermittent connectivity
- A live dashboard showing device status, telemetry, and alerts across your fleet
- Cloud storage and processing pipeline for the data your devices generate
- Edge AI inference on the device itself where cloud latency isn't acceptable
- Remote device management so firmware and config updates don't require physical access
Why it matters
Built for unreliable connections
Device communication designed to handle intermittent connectivity gracefully, not assume a perfect network.
Fleet-wide visibility
One dashboard showing live status and alerts across every connected device, not just one at a time.
Edge inference when it matters
Processing happens on the device itself when cloud round-trip latency isn't acceptable.
Remote management built in
Update firmware and configuration remotely instead of needing physical access to every device.
Technology we use
Ways to engage
Prototype / proof of concept
A scoped build connecting a small number of devices to validate the approach.
Full IoT platform build
Device connectivity, cloud ingestion, dashboards, and device management at fleet scale.
Edge AI integration
Adding on-device inference to an existing hardware product.
Frequently asked questions
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