Our custom IoT development services focus on architecting robust systems that bridge the physical and digital worlds. We utilize embedded development, edge computing, and cloud-native platforms to create intelligent, responsive, and resilient IoT applications.

Key Development Services:

• Embedded Systems & Firmware Development: Develop firmware for microcontrollers (ESP32, STM32, Nordic, TI) and single-board computers (Raspberry Pi) using C/C++, Zephyr RTOS, and MicroPython.
• Sensor Integration & Protocols: Integrate environmental, motion, industrial, or biometric sensors using protocols such as MQTT, CoAP, Zigbee, LoRaWAN, BLE, and Modbus.
• Edge Computing & Gateways: Build edge processing pipelines using platforms like Azure IoT Edge, AWS Greengrass, or NVIDIA Jetson for local decision-making and latency reduction.
• Cloud IoT Platforms: Deploy device management, data ingestion, and analytics solutions on AWS IoT Core, Azure IoT Hub, and Google Cloud IoT.
• IoT Mobile App Development: Create cross-platform apps to control and monitor connected devices in real time using Flutter, React Native, or native Android/iOS development.
• Digital Twin & Visualization: Implement digital twin models using Unity, Three.js, or Azure Digital Twins to simulate and visualize device states, environments, and workflows.

We ensure seamless integration of IoT systems with enterprise IT, OT, and cloud infrastructures to enable unified data visibility, process automation, and advanced analytics.

Integration Capabilities:

• ERP & MES Integration: Connect IoT data streams to enterprise systems (SAP, Oracle, Dynamics 365) and Manufacturing Execution Systems (MES) for real-time inventory, production, and asset insights.
• API Gateways & Middleware: Build secure and scalable APIs using REST, gRPC, or GraphQL, and integrate with platforms like MuleSoft, Azure API Management, or AWS API Gateway.
• Data Pipeline & ETL: Ingest and transform high-frequency sensor data using Apache NiFi, Kafka, or Azure Stream Analytics for downstream processing and analytics.
• SCADA/PLC Connectivity: Interface with industrial controllers using OPC UA, BACnet, or MQTT brokers to extract machine-level data for centralized monitoring and control.
• Third-Party Integrations: Integrate IoT systems with smart assistants (Alexa, Google Assistant), wearable devices, GIS tools, or custom dashboards through secure APIs.

Leverage real-time and historical data collected from IoT devices to drive predictive insights, intelligent automation, and optimized operations.

Core Analytics Services:

• Streaming & Real-Time Analytics: Process live data with Apache Flink, Spark Streaming, or Azure Stream Analytics to detect anomalies, trigger alerts, or make real-time decisions.
• Predictive Maintenance: Implement ML-based models to anticipate equipment failures and reduce unplanned downtime. We use time-series forecasting, anomaly detection, and regression models trained on historical IoT data.
• Energy & Resource Optimization: Monitor usage patterns to reduce energy consumption and improve efficiency across HVAC, lighting, and manufacturing systems.
• Automation & Orchestration: Enable rule-based or AI-driven automation through Node-RED, Azure Logic Apps, or custom workflow engines integrated with IoT triggers.

We prioritize IoT security across every layer of the stack—device, network, cloud, and application—to ensure data integrity, privacy, and regulatory compliance.

Security Measures:

• Secure Boot & Firmware Signing: Prevent unauthorized firmware modifications using cryptographic validation and trusted hardware modules.
• Device Authentication & Identity: Implement X.509 certificates, token-based authentication (OAuth 2.0), and TPM modules for secure device identity.
• End-to-End Encryption: Apply TLS, DTLS, or VPN tunneling for encrypted device-to-cloud communication.
• Access Control & Monitoring: Utilize IAM policies, firewalls, and SIEM tools (like Splunk or AWS GuardDuty) for role-based access and anomaly detection.
• Compliance Readiness: Ensure adherence to standards like GDPR, HIPAA, ISO 27001, and NIST for data protection and privacy.