# IoT & Connected Systems

URL: https://momentaj.com/services/iot-connected-systems/
Updated: 2026-10-09
Category: Engineering
Provider: Momentaj Inc., Toronto AI engineering firm; remote across Canada, the United States and the Middle East, in person across the Greater Toronto Area

Devices, radios and the cloud that receives their data: BLE, LoRa and LTE-M hardware, MQTT ingestion, real-time dashboards and the analytics on top.

At a glance:
- Device firmware on BLE, LoRa, LTE-M and NB-IoT
- Ingestion over MQTT, HTTP and CoAP, queued and decoded
- Real-time dashboards and live maps
- Positioning and anomaly models on sensor data

Momentaj, a Toronto AI engineering firm, builds IoT systems from circuit board to cloud. We have built tags, gateways and trackers, platforms that ingest a hundred million readings a week, and the live maps and dashboards that make the data useful. Today that experience also feeds our AI work: sensor streams are where anomaly detection and forecasting earn their keep.

## What we build

- **Devices and firmware.** Low-power tags and trackers on BLE, LoRa, LTE-M and NB-IoT, from off-the-shelf modules for proofs of concept to custom boards on the Nordic nRF9160 with Zephyr RTOS. Power budgets measured, not assumed.
- **Gateways and ingestion.** Vehicle and building gateways that bridge short-range radios to cellular, and cloud ingestion over MQTT, HTTP and CoAP with authentication, throttling and a queue between every stage.
- **Platforms.** Multi-tenant device management, real-time delivery to browsers, geospatial queries, alerts and reporting.
- **Analytics.** Indoor positioning from signal strength, anomaly detection on sensor streams, forecasting on telemetry.

## How it's done

Match the radio to the resource, log every hop so reliability can be measured per link, and keep the cloud layered: ingest, queue, decode, store, stream. The same architecture has carried three products.

## Proof

[Momentrack](https://momentaj.com/case-studies/momentrack/): four device types on three radios and a private cloud with a live incident map, delivered for the Department of National Defence with 98.7% of road-test location reports reaching the cloud. [uBeac](https://momentaj.com/case-studies/ubeac/): a multi-tenant IoT platform that grew to 3,000+ users and was acquired. Our indoor-positioning experiments reached 85% zone accuracy from BLE signal strength, and led to research with George Brown College and a joint NSERC proposal with Ryerson University (now Toronto Metropolitan University).

## Frequently asked questions

**Do you do IoT hardware design?** Yes, for firmware and board-level design on proven modules, and we work with Canadian electronics design firms for custom boards, enclosures and certification.

**Which IoT protocols do you work with?** BLE, LoRa and LoRaWAN, LTE-M and NB-IoT on the device side; MQTT, HTTP and CoAP into the cloud; WebSockets and SignalR out to browsers.

**Have you built IoT systems for government?** Yes. We won a competitive Innovative Solutions Canada contract from the Department of National Defence and delivered Momentrack, a BLE, LoRa and LTE-M tracking system with a live incident map, in six months.

**Can your IoT platforms handle large data volumes?** Yes. uBeac, the multi-tenant IoT platform we built for smart buildings, ingested more than 100 million documents a week before it was acquired in 2020.

**How much does an IoT project cost?** Each stage has its own price, agreed before it starts, rather than a published rate card, because the cost depends on your workflows, your data and the systems in scope. Discovery is a fixed price based on the number of workflows and systems in scope, and each later stage is quoted before it begins.

**Do you work with companies outside Toronto?** Yes. We work remotely with clients across Canada, the United States, the Middle East and beyond, and in person across the Greater Toronto Area.