The platform layer that turns hardware into a managed fleet: device frameworks, protocol simulation, digital twin, provisioning, over-the-air update and analytics. A connected product becomes a business when this layer exists. Without it there is a demonstration that works on a bench and a support burden that grows with every unit shipped.
| Product | Function | Typical markets |
|---|---|---|
| Multi-TECH Device Platform | Multi-controller, multi-cloud device framework supporting AWS and Azure, compressing the design cycle across controller families | Connected product OEMs |
| IoT Simulator | Test-condition generation across MQTT, MQTT-SN, LoRa gateway and device simulation, LoRaWAN 1.0.3 Class A and C, with OTAA and ABP activation | Engineering teams, QA |
| Digital Twin Framework | Asset projection, monitoring and control against a live model | Industrial, energy, infrastructure |
| Device Management and OTA | Provisioning, fleet management and staged over-the-air update with rollback | All connected products |
| Analytics and Dashboards | Telemetry visualisation, alerting and reporting | All connected products |
| Predictive Maintenance Framework | Equipment analytics and failure root-cause analysis | Manufacturing, energy |
The IoT Simulator creates test conditions powered by multiple simulated sensors and gateways on a single computer. It supports MQTT — both 3.1 and 3.1.1 clients, with subscription and message capture for replay — and MQTT-SN, the variant with more compact packet encoding used in constrained sensor networks.
On the LoRa side, simulated devices generate frames that a gateway encapsulates and forwards to a network server, with downstream payloads extracted and returned over UDP. LoRaWAN 1.0.3 Class A and C framing is supported, with both over-the-air activation and activation by personalisation, and signal strength, signal-to-noise ratio and channel can be specified per gateway. Payload behaviour is scripted, so a sensor population with realistic variation can be generated rather than a single repeated message.
The practical value is that platform, ingest and alerting logic can be exercised against ten thousand devices before ten have been manufactured.
MQTT versions 3.1 and 3.1.1 with subscription and message capture for replay, MQTT-SN for constrained sensor networks, and LoRa gateway and device simulation supporting LoRaWAN 1.0.3 Class A and C with both over-the-air activation and activation by personalisation. Signal strength, signal-to-noise ratio and channel can be specified per gateway, and payload behaviour is scriptable.
It is a device framework that accelerates connected-product development by providing a common application layer across multiple controller families and multiple clouds, including AWS and Azure, so that connectivity, provisioning and update are solved once rather than per product.
Either. The frameworks deploy on customer infrastructure where data residency, procurement or existing platform investment requires it, or on Faststream-managed infrastructure where the customer would rather not operate it.
Because a firmware release that fails on real hardware in the field is expensive in proportion to how many units received it. Staged rollout with rollback limits a bad release to a canary group instead of the installed base.
Tell us the specification, the constraint and the deadline. Programmes that cross silicon, radio, embedded and AI are where Faststream is strongest.