Smart Device Integration (IoT)

Connect. Automate. Transform Everyday Interactions.

Your products deserve to do more than just work—they should respond, adapt, and communicate.

With smart device integration, we turn ordinary hardware into intelligent systems that enhance usability, unlock automation, and deliver real-time insights.

What We Offer:

End-to-end IoT integration to connect hardware devices with mobile apps, dashboards, or cloud platforms—ensuring seamless, secure data exchange and control.
Real-time device communication using protocols like MQTT, WebSockets, or BLE for responsive, low-latency interactions between users and their devices.
Edge computing support for faster data processing on-device, reducing latency and enabling offline functionality when cloud access is limited.
Custom automation workflows that trigger actions based on sensor data, time schedules, or user preferences—enabling smarter, proactive behavior.

ML model integration on-device or in the cloud to enable predictive maintenance, anomaly detection, or personalized responses based on sensor patterns.
Remote monitoring and control interfaces for users to manage devices from anywhere, with live updates, usage logs, and alert systems.
Scalable architecture and cloud sync designed to support growing fleets of devices without compromising performance or reliability.
OTA (Over-the-Air) firmware update pipelines to keep device software up to date effortlessly and securely, without user intervention.

Real-World Use Cases

Smart home ecosystems with connected lighting, thermostats, and appliances that users can control remotely and automate based on routines or occupancy.
Industrial IoT (IIoT) solutions for monitoring equipment health, optimizing energy usage, and detecting faults in real time to reduce downtime.
Wearable health tech that captures biometric data, syncs with mobile apps, and provides actionable insights for fitness or medical monitoring.
Fleet and asset tracking systems that use GPS and sensors to monitor location, usage, and condition across distributed physical assets.
Agritech automation systems for smart irrigation, environmental monitoring, and crop health analytics powered by sensor-driven insights.
Smart retail setups with connected shelves, inventory sensors, and beacons for real-time stock tracking and personalized in-store engagement.
Predictive maintenance platforms that analyze sensor data and machine usage to alert teams before issues occur, improving operational efficiency.

Our Tech Stack

AWS IoT Core, Azure IoT Hub, Google Cloud IoT, Firebase, Node.js, Python (FastAPI/Flask)
C/C++, Embedded Linux, Zephyr, FreeRTOS, Arduino, ESP-IDF
React Native, Flutter, Swift, Kotlin, React, Angular
MQTT, WebSockets, BLE, Zigbee, LoRaWAN, HTTP/HTTPS
TensorFlow Lite, Edge Impulse, AWS SageMaker, custom Python models

Frequently asked questions

What types of devices can you integrate with?

We work with a wide range of smart devices—sensors, wearables, industrial hardware, home automation systems, and more—using both off-the-shelf and custom protocols.

Can you help with both firmware and app development?

Yes, we provide end-to-end support, including embedded firmware, mobile/web apps, cloud infrastructure, and data pipelines.

How do you handle data security for IoT systems?

We implement end-to-end encryption, secure device authentication, and follow industry best practices to ensure secure data transmission and access control.

Can you integrate AI models into IoT devices?

Yes, we can deploy lightweight ML models on edge devices or in the cloud for tasks like predictive maintenance, anomaly detection, and behavior analysis.