Srapsware
IoT & Connected Devices

IoT Solutions & Smart Devices

Build connected IoT ecosystems with real-time monitoring, device management, and edge computing. From smart homes to industrial IoT, we deliver scalable end-to-end solutions.

IoT Sensor Network with Real-Time Data Collection

Real-Time Intelligence

End-to-End IoT Platform Development

The Internet of Things connects physical devices to the digital world - sensors, actuators, wearables, machines, vehicles, and infrastructure. We build complete IoT solutions: device firmware, connectivity (Wi-Fi, Bluetooth, LoRaWAN, cellular), cloud platforms, and mobile/web dashboards.

Handle millions of devices with real-time data ingestion, edge computing, predictive analytics, and remote device management. Whether it's smart homes, industrial automation, or fleet tracking, we deliver scalable IoT infrastructure that grows with you.

Device Connectivity & Edge Computing

IoT devices communicate using MQTT, CoAP, HTTP/REST, WebSockets, or custom protocols optimized for low bandwidth and power constraints. We implement secure device authentication (X.509 certificates, JWT), OTA firmware updates, and device provisioning workflows.

Edge computing processes data locally on gateways or devices, reducing cloud costs and latency. Run ML models on edge devices for real-time anomaly detection, computer vision, or predictive maintenance without constant internet connectivity.

Edge Computing Infrastructure for IoT Devices

Edge Processing

100+
IoT Projects Delivered
1M+
Connected Devices
99.9%
Platform Uptime
50ms
Average Latency

Comprehensive IoT Capabilities

From device firmware to cloud platforms and real-time analytics

Device Firmware & Embedded Systems

Develop firmware for microcontrollers (ESP32, STM32, Arduino, Raspberry Pi) and real-time operating systems (FreeRTOS, Zephyr). Implement sensor drivers, power management, sleep modes, and communication protocols (I2C, SPI, UART, CAN bus) for energy-efficient IoT devices.

ESP32/STM32
FreeRTOS
Low Power

IoT Cloud Platform

Build scalable cloud backend with AWS IoT Core, Azure IoT Hub, or Google Cloud IoT. Handle device provisioning, telemetry ingestion (millions of events/sec), time-series databases (InfluxDB, TimescaleDB), and real-time dashboards.

Device Management
Data Pipeline
Analytics

MQTT & Communication Protocols

Real-time pub/sub messaging, CoAP, WebSockets, and custom protocols for IoT

Real-Time Monitoring & Alerts

Live dashboards, anomaly detection, and instant alerts via SMS/email/push

IoT Security & Device Management

Secure IoT deployments with TLS/SSL encryption, X.509 certificates, JWT authentication, and device identity management. Implement OTA firmware updates, remote configuration, fleet management, and device lifecycle tracking (provisioning to decommissioning).

End-to-End Encryption
OTA Updates
Fleet Management

Edge Computing & ML

Run machine learning models on edge devices for real-time predictions

Time-Series Data Storage

InfluxDB, TimescaleDB for high-frequency sensor data with compression

Mobile & Web Dashboards

Real-time control interfaces for iOS, Android, and web with charts & maps

React
Node.js
Python
MongoDB
PostgreSQL
Docker
Kubernetes
AWS

IoT Technology Stack

Microcontrollers, cloud platforms, and communication protocols we use

8
Expert Level
1
Advanced Level

IoT Solutions Across Industries

From smart homes to industrial automation and healthcare monitoring

Smart Home Automation

Control lights, thermostats, locks, cameras, and appliances from mobile apps. Voice integration with Alexa/Google Home.

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Industrial IoT (IIoT)

Predictive maintenance, asset tracking, production monitoring, and OEE optimization for manufacturing plants.

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Healthcare & Wearables

Fitness trackers, remote patient monitoring, medical sensors, and health data analytics for telemedicine.

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Fleet & Asset Tracking

GPS tracking, route optimization, fuel monitoring, and real-time vehicle diagnostics for logistics companies.

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IoT Development Process

From hardware prototyping to cloud deployment in 8-12 weeks

01

Requirements & Architecture

1 week

Define sensor requirements, connectivity options (Wi-Fi, LoRa, cellular), data models, and cloud architecture. Select hardware (ESP32, STM32, RPi) and communication protocols (MQTT, CoAP).

02

Firmware Development & Testing

2-3 weeks

Write embedded C/C++ firmware for microcontrollers, implement sensor drivers, power management, and communication protocols. Test on hardware with unit tests and integration tests.

03

Cloud Platform Setup

1-2 weeks

Set up AWS IoT Core/Azure IoT Hub, device provisioning, MQTT broker, data ingestion pipeline, time-series database (InfluxDB/TimescaleDB), and analytics services.

04

Device Management & Security

1-2 weeks

Implement X.509 certificate authentication, OTA firmware updates, device fleet management, remote configuration, and monitoring dashboards.

05

Mobile/Web Dashboard Development

2-3 weeks

Build React/React Native dashboards with real-time charts (Chart.js/Recharts), maps (Google Maps/Mapbox), device controls, and alert notifications.

06

Testing & Production Deployment

1-2 weeks

End-to-end testing with real devices, load testing for scalability, security audits, and production deployment with monitoring (Grafana, CloudWatch).

What Our IoT Clients Say

Real results from businesses that deployed our IoT solutions

"Srapsware is best for server less and modern web application technologies. I suggest you try there services."
Blucloud
Owner at Blucloud
UK

Frequently Asked Questions

What hardware platforms do you support?
We work with ESP32, ESP8266 (Wi-Fi), STM32 (ARM Cortex), Arduino, Raspberry Pi, Nordic nRF52 (Bluetooth), and custom PCBs. We also support LoRaWAN gateways for long-range communication and cellular modules (4G/5G) for mobile connectivity.
Which cloud platforms do you use for IoT?
AWS IoT Core, Azure IoT Hub, Google Cloud IoT, and open-source MQTT brokers (Mosquitto, HiveMQ, EMQX). We design cloud architectures that scale to millions of devices with real-time data processing, analytics, and device management.
How do you secure IoT devices?
We implement TLS/SSL encryption for data in transit, X.509 certificate-based authentication, secure boot, encrypted firmware storage, and regular OTA security updates. All communications use industry-standard protocols with end-to-end encryption.
Can you handle large-scale IoT deployments?
Yes! We design horizontally scalable cloud architectures using serverless services (AWS Lambda), message queues (Kafka, RabbitMQ), time-series databases, and auto-scaling infrastructure. We've managed deployments with 1M+ devices processing millions of events per second.
What communication protocols do you support?
MQTT (standard IoT pub/sub), CoAP (lightweight HTTP alternative), HTTP/REST, WebSockets, LoRaWAN (long-range low-power), BLE (Bluetooth Low Energy), Zigbee, Z-Wave, and custom binary protocols optimized for bandwidth and power constraints.
How much does IoT development cost?
Simple IoT prototype: $10,000-25,000. Production-ready IoT platform: $40,000-100,000. Enterprise IoT solution with custom hardware: $100,000-500,000+. Costs include firmware, cloud infrastructure, mobile/web dashboards, testing, and initial deployment.

Ready to Connect Your Devices?

Build a scalable IoT ecosystem with secure device connectivity, real-time monitoring, and intelligent automation. From smart homes to industrial IoT, we deliver end-to-end solutions.