iSkylar
solution

IoT Development .

iSkylar builds end-to-end IoT solutions, from firmware and device protocols through to cloud ingestion pipelines, real-time dashboards, and the mobile or web applications your team uses to act on the data. Whether you are connecting industrial machinery, consumer hardware, smart buildings, or logistics assets, we engineer IoT systems that are reliable, secure, and built to operate at scale.

IoT Development

What We Build

IoT Platform & Cloud Architecture

We design and build the cloud backbone your connected devices report to — device registry, message brokers, data ingestion pipelines, time-series storage, and the APIs your applications consume. Scalable from 10 devices to 10 million.

Firmware & Embedded Software

We write firmware for microcontrollers and embedded Linux systems — sensor interfacing, communication protocol implementation (MQTT, CoAP, BLE, LoRaWAN), OTA update mechanisms, and power management for battery-operated devices.

Real-Time Dashboards & Analytics

Web and mobile dashboards that display live sensor data, historical trends, threshold alerts, and anomaly detection outputs — giving operators the visibility to act on what their devices are reporting.

Industrial IoT (IIoT)

We connect factory equipment, industrial sensors, and SCADA systems to modern cloud infrastructure — enabling predictive maintenance, OEE monitoring, and process optimisation without replacing legacy hardware.

IoT Mobile & Web Applications

The user-facing layer of your IoT system — mobile apps for field technicians, web portals for operations managers, and consumer apps for end users — built natively or cross-platform depending on your audience.

IoT Security & Device Management

Device authentication (X.509 certificates, mutual TLS), encrypted data transmission, OTA update security, and remote device management — we build security into IoT architecture from the start, not as an add-on.

AI-POWERED

Delivered faster with AI tooling

We don't just write code; we orchestrate intelligence. By integrating Copilot-assisted generation and AI-driven automated testing, we reduce time-to-market by up to 40%.

Copilot-Assisted Generation

LLM-backed development to eliminate boilerplate delays.

AI Predictive Testing

Anticipating edge cases before they enter production.

Learn how we work
ENGINEERED FOR PERFORMANCE

The iSkylar Tech Stack

AWS IoT Core
Azure IoT Hub
MQTT
Node.js
Python
TimescaleDB
InfluxDB
Grafana
React
Flutter
RTOS (FreeRTOS)
Raspberry Pi / ESP32
Docker
Kubernetes
Terraform

Our Development Journey

A streamlined, transparent path from vision to launch.

01

Discovery & System Architecture

1–2 weeks

We map your device types, communication protocols, data volume estimates, and application requirements — and produce an end-to-end architecture covering firmware, cloud, and application layers before any development begins.

02

Device & Protocol Integration

2–6 weeks

Firmware development or adaptation, protocol implementation (MQTT, BLE, LoRaWAN), device authentication setup, and cloud ingestion pipeline validated with real hardware in a lab environment.

03

Cloud & Data Platform Build

3–8 weeks

IoT cloud infrastructure provisioned, time-series database configured, real-time streaming pipeline live, alert engine implemented, and API layer built for your application to consume.

04

Application Development

3–8 weeks

Dashboard, mobile app, or web portal built in parallel with the cloud platform — using live device data from the staging environment throughout development so the UI reflects real-world behaviour.

05

QA & Field Testing

1–3 weeks

End-to-end system test with real devices under real network conditions — including connectivity loss scenarios, high message volume, and edge case sensor readings.

06

Deployment & Managed Operations

Ongoing

Production rollout, OTA update pipeline live, monitoring and alerting configured, device management console operational, and SLA-backed support for the connected infrastructure.

Our Proven Track Record

IMPACTMETRICS
View all case studies →

DEVICES CONNECTED

50,000+

IoT devices connected across industrial, logistics, and smart building deployments managed by iSkylar-built platforms

DOWNTIME REDUCTION

42%

Reduction in unplanned downtime after deploying predictive maintenance analytics for a manufacturing client

SYSTEMS DELIVERED

35+

End-to-end IoT systems delivered from firmware through to web dashboard

REAL-TIME LATENCY

<500ms

Data ingestion latency from device sensor to cloud dashboard on production IoT platforms

Flexible Engagement

Partnership structures tailored to your scale and velocity.

IoT Proof of Concept

A working end-to-end prototype with real devices — firmware, cloud ingestion, and a basic dashboard — demonstrating your use case before committing to a full production build.

  • Defined Scope
  • Fixed Budget
POPULAR

Full IoT System

Complete delivery — firmware, cloud platform, data pipeline, application, security, and production deployment. Scoped after discovery based on device count and complexity. Our most popular engagement.

  • Full Integration
  • Infinite Scalability

IoT Managed Platform

Ongoing cloud platform management — device monitoring, OTA update management, infrastructure scaling, incident response, and quarterly architecture reviews.

  • Defined Scope
  • Fixed Budget
"

"iSkylar transformed our legacy banking app into a modern, lightning-fast experience. Their AI-driven approach saved us months in engineering time."

JD

James Donovan

CTO, GlobalFin

"

"The level of technical precision and UI craftsmanship is unmatched. They don't just build apps; they build business advantages."

SL

Sarah Lin

Product Head, LuxeRetail

Frequently Asked Questions

What does an end-to-end IoT system actually include?+

A complete IoT system has three layers: the device layer (firmware, sensors, connectivity), the cloud layer (message broker, ingestion pipeline, storage, analytics), and the application layer (dashboard, mobile app, alerts). We build all three — or connect to your existing hardware at any layer if you already have part of the system in place.

Can you work with our existing hardware?+

Yes. We can write firmware for your existing microcontrollers or embedded Linux devices, connect your hardware to our cloud platform via standard protocols (MQTT, CoAP, HTTP), and integrate proprietary sensor data formats. We assess hardware compatibility during the discovery phase.

What cloud platforms do you use for IoT?+

We primarily use AWS IoT Core and Azure IoT Hub depending on your existing cloud preference. For edge-heavy use cases we use AWS Greengrass or Azure IoT Edge. For time-series data we use TimescaleDB or InfluxDB depending on query patterns.

How do you secure IoT devices and data?+

Device authentication via X.509 certificates and mutual TLS, encrypted MQTT over TLS, secrets stored in hardware security modules where applicable, OTA updates signed and verified, and regular firmware security reviews. IoT security is designed at architecture stage, not added afterwards.

How long does IoT development take?+

A proof of concept with real devices is typically 6–10 weeks. A full production system is usually 16–28 weeks depending on device count, protocol complexity, and application scope.

What does IoT development cost?+

Proof of concepts start from $8,000. Full systems from $30,000. Pricing depends on device types, communication protocols, data volume, and application complexity. Fixed-scope quote after discovery.

Who owns the platform and source code?+

You own everything — firmware source, cloud infrastructure code, application source, and all documentation. We provision the cloud infrastructure in your own accounts so you are never dependent on ours.

Do you support the system after launch?+

Yes. We offer managed platform retainers covering device monitoring, OTA update management, infrastructure scaling, and incident response — with SLA-backed response times for production systems handling live devices.

Ready to build your breakthrough?

Contact us today for a technical consultation and a detailed project estimate.

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