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Emerging Tech & IoT · IoT Devices

Connected devices that generate intelligence.

We are an IoT development company that builds the full stack — from custom firmware on ESP32 and STM32 microcontrollers to cloud platforms on AWS IoT and Azure IoT Hub. Whether you need predictive maintenance for a factory floor, smart building automation, or fleet-scale device management, hire IoT developers from our team who handle every layer: sensors, edge gateways, MQTT pipelines, and real-time dashboards.

Custom IoT platform development
Embedded firmware engineering (C/C++)
Edge gateway and fog computing
Cloud connectivity (AWS IoT, Azure IoT Hub)
Fleet-scale device management and OTA
Real-time sensor dashboards and analytics
IoT Devices
10K+
Devices under management
Fleet-scale provisioning, monitoring, and OTA updates.
30%
Water/energy savings delivered
Sensor-driven automation optimising resource usage.
45%
Less unplanned downtime
Predictive maintenance alerts before equipment fails.
<1s
Telemetry-to-action latency
Edge processing for real-time sensor response.
Why MetaDesign

Full-stack IoT engineering — sensor to cloud, one team.

Firmware, MQTT pipelines, and cloud dashboards — one team that owns every layer from prototype to production deployment.

Full-Stack IoT Engineering

Most agencies write the cloud layer and stop. We build firmware, edge compute, cloud pipelines, and dashboards — one team owns the entire stack from sensor to screen.

Protocol Expertise

We select the right protocol for your constraints — MQTT for telemetry, CoAP for constrained devices, BLE for wearables, LoRaWAN for long range, and Zigbee for mesh networks.

Security by Design

Our IoT platform development services include secure boot, mTLS transport, OTA with cryptographic verification, and hardware security modules — because a compromised sensor is a compromised network.

Teams shipping with MetaDesign
Selected work

Case studies.

IoT Swim Telemetry

IoT Swim Telemetry

Real-time BLE connectivity and native SDKs enabling athletes to sync swim metrics instantly.

SportTech Firebelly

BLE
Telemetry Sync
0ms
Feedback Latency
Native
iOS/Android
24/7
Cloud Sync
AI/IoT Glaucoma Diagnostics

AI/IoT Glaucoma Diagnostics

Head-mounted visual field testing device integrating advanced embedded AI and IoT capabilities.

Canadian Medical Innovator

AI
Real-time Edge Diagnostics
IoT
Device-to-Cloud Sync
MERN
Clinical Web Platform
Python
Embedded Algorithms
SENSE.
CONNECT.
PROCESS.
ACT.

Industrial IoT

Sensor networks for manufacturing — predictive maintenance, quality monitoring, and production optimisation.

Smart Buildings

HVAC control, occupancy sensing, and energy management for commercial buildings.

Fleet Tracking

GPS, diagnostics, and driver behaviour monitoring for vehicle fleets.

Agriculture

Soil moisture, weather stations, and irrigation automation for precision farming.

Health Devices

Connected health devices — wearables, monitors, and clinical equipment.

Asset Tracking

Indoor and outdoor asset tracking with BLE, RFID, and GPS.

Our Approach

IoT Devices: Our Proven Process

01

Requirements

Device specifications, connectivity requirements, data volume, and power constraints.

02

Prototype

Hardware selection, firmware development, and connectivity proof of concept.

03

Platform

Cloud platform, device management, data ingestion, and dashboard development.

04

Pilot

Field deployment, real-world testing, and iterative firmware updates.

05

Scale

Production deployment, OTA update infrastructure, and monitoring.

01

Requirements

Device specifications, connectivity requirements, data volume, and power constraints.

02

Prototype

Hardware selection, firmware development, and connectivity proof of concept.

03

Platform

Cloud platform, device management, data ingestion, and dashboard development.

04

Pilot

Field deployment, real-world testing, and iterative firmware updates.

05

Scale

Production deployment, OTA update infrastructure, and monitoring.

Customer Value

Why innovators choose us
for emerging tech.

Hardware-to-cloud outcomes from real deployments.

Real-time intelligence

Sensor data processed and acted upon in milliseconds, not minutes.

Connected ecosystems

Devices, gateways, cloud, and dashboards working as one platform.

Edge processing

Critical decisions made on-device without depending on cloud connectivity.

Predictive capabilities

Machine learning on IoT data for maintenance, quality, and demand forecasting.

Secure by design

Encrypted transport, secure boot, and OTA updates for device fleets.

Scalable deployment

Architecture that handles 10 devices or 10,000 without redesign.

Stack

Tools our IoT Devices
Developers
ship with.

Microcontroller firmware, edge sensors, low-power telemetry protocols, and hardware-to-cloud gateways engineered for harsh enterprise environments.

ESP32
Raspberry Pi
Nordic nRF
STM32
MQTT
CoAP
BLE
LoRaWAN
Zigbee
ESP32
Raspberry Pi
Nordic nRF
STM32
MQTT
CoAP
BLE
LoRaWAN
Zigbee
AWS IoT
AWS IoT
Azure IoT Hub
Azure IoT Hub
HiveMQ
EMQX
InfluxDB
TimescaleDB
Grafana
Node-RED
AWS IoT
AWS IoT
Azure IoT Hub
Azure IoT Hub
HiveMQ
EMQX
InfluxDB
TimescaleDB
Grafana
Node-RED
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models

Three ways to work with our IoT Devices team.

Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.

01MOST POPULAR

IoT Devices Pod

A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.

  • Dedicated engineering squad
  • Weekly sprint demos
  • Fixed monthly cadence
  • Direct technical lead communication
Build with a Pod
02EMBED

Hire IoT Devices Engineers

Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.

  • 2-week onboarding ramp
  • Time-zone aligned collaboration
  • Direct Git & Jira integration
  • Flexible monthly contracts
Request Talent
03LAUNCH

Turnkey / MVP Build

Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.

  • Fixed-price & fixed-scope
  • End-to-end architecture & build
  • Complete source code ownership
  • Post-launch warranty & support
Start Your Build
FAQ

Asked first, every time.

Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
Everything from the firmware running on your microcontroller to the cloud platform ingesting telemetry. Our IoT platform development services cover hardware integration, MQTT pipelines, device management, OTA updates, and real-time dashboards — one team, sensor to screen.
Absolutely. You can hire IoT developers for standalone firmware engineering in C/C++ on ESP32, STM32, or Nordic nRF — including low-power optimisation, sensor drivers, and wireless protocol stacks — without needing the full cloud platform.
It depends on your ecosystem. AWS IoT Core offers the broadest service catalogue and scales well for high-volume deployments. Azure IoT Hub is ideal for Microsoft-centric organisations with existing Active Directory and Power BI. For cost-sensitive projects, we also deploy self-managed MQTT brokers like HiveMQ or EMQX.
Security is architected from day one: secure boot chains, TLS/mTLS encrypted transport, X.509 device certificates, hardware security modules, and encrypted at-rest storage. Every device goes through a security audit before field deployment.
Yes — bridging operational technology and IT is one of our core strengths. We connect via MQTT, REST APIs, OPC-UA, and direct database integration so sensor data flows into your existing enterprise systems without rip-and-replace.
A working proof of concept usually takes 4–6 weeks. A production-ready IoT platform with device management, dashboards, and OTA infrastructure typically takes 3–6 months depending on device complexity and integration scope.
We work across the full spectrum: MQTT and CoAP for application-layer messaging, BLE for short-range wearables, LoRaWAN for long-range low-power, Zigbee for mesh networks, and NB-IoT/LTE-M for cellular IoT. Protocol selection is driven by your power budget, range, and throughput needs.
Yes. We build time-series dashboards using Grafana, custom React frontends, or embedded BI tools — with real-time alerting, historical trend analysis, anomaly detection, and role-based access for operations teams.
We implement dual-bank flash memory architecture and mandate cryptographically signed firmware binaries, ensuring that corrupted or maliciously altered updates are rejected before installation.
Absolutely. We heavily utilize MQTT over WebSockets to provide secure, low-latency telemetry streaming directly from industrial edge gateways to real-time browser-based SCADA dashboards.
We implement dual-bank flash memory architecture and mandate cryptographically signed firmware binaries, ensuring that corrupted or maliciously altered updates are rejected before installation.
Absolutely. We heavily utilize MQTT over WebSockets to provide secure, low-latency telemetry streaming directly from industrial edge gateways to real-time browser-based SCADA dashboards.

Build your IoT platform from sensor to dashboard.

Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.

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