IoT Application Development for Smart Connected Solutions
Build intelligent IoT ecosystems that connect devices, collect data, and enable real-time automation across consumer and industrial applications. From device to cloud to insights.
Why Choose Neuralyne for IoT Development
20+ years of IoT expertise. We've built connected ecosystems managing millions of devices for startups, Fortune 500 companies, and innovative enterprises worldwide.
End-to-End IoT Stack
Complete solutions from device firmware to cloud platforms and mobile applications
Enterprise-Grade Security
Military-grade encryption, secure boot, PKI, and compliance with IoT security standards
Scalable Architecture
Cloud-native designs that scale from prototype to millions of connected devices
Real-Time Processing
Edge computing and stream processing for low-latency, intelligent device behavior
Multi-Protocol Support
MQTT, CoAP, LoRaWAN, NB-IoT, 5G, and all major connectivity protocols
Seamless Integration
Connect with ERP, CRM, SCADA, analytics platforms, and enterprise systems
Our IoT Development Services
Complete IoT solutions from edge to cloud
Device Firmware & Embedded Systems
- Custom firmware development for ARM, ESP32, Arduino, Raspberry Pi
- RTOS implementation and real-time system design
- Low-power optimization for battery-operated devices
- Sensor integration and data acquisition
- Over-the-air (OTA) firmware update mechanisms
- Device diagnostics and remote debugging
IoT Cloud Platforms
- AWS IoT Core, Azure IoT Hub, Google Cloud IoT implementation
- Custom IoT platform development with microservices
- Device provisioning, authentication, and management
- Real-time telemetry ingestion and processing
- Rules engine and automated workflows
- Multi-tenant architectures for IoT SaaS
Real-Time Analytics & Monitoring
- Real-time dashboards and KPI visualization
- Time-series data processing and storage
- Anomaly detection and predictive analytics
- Machine learning model deployment on IoT data
- Alert management and notification systems
- Custom reporting and business intelligence
Edge Computing Solutions
- Edge device programming and local processing
- Edge-to-cloud data synchronization
- AI/ML inference at the edge
- Offline-first architectures with sync
- Gateway development for protocol translation
- Fog computing and distributed processing
Industrial IoT (IIoT)
- Predictive maintenance and asset monitoring
- SCADA and MES system integration
- OPC UA and industrial protocol support
- Digital twin creation and simulation
- Production line optimization and quality control
- Environmental and safety monitoring
Consumer & Smart Home IoT
- Smart home device development and integration
- Voice assistant integration (Alexa, Google Home)
- Mobile apps for device control and automation
- Scene automation and smart routines
- Energy monitoring and optimization
- Cross-device interoperability
IoT Mobile & Web Applications
- Native iOS and Android companion apps
- Real-time device monitoring and control
- Push notifications and alerts
- Data visualization and historical trends
- User authentication and access control
- Offline capabilities with background sync
IoT Security & Compliance
- End-to-end encryption (TLS/DTLS)
- Secure device provisioning and identity
- PKI infrastructure and certificate management
- Vulnerability assessment and penetration testing
- GDPR, HIPAA, ISO 27001 compliance
- Security audits and best practices implementation
Supported IoT Platforms & Hardware
We work with all major IoT platforms and hardware ecosystems
AWS IoT Core
- Device shadows
- Rules engine
- Fleet management
- Integration with AWS services
Azure IoT Hub
- Device twins
- Direct methods
- File upload
- Azure Digital Twins
Google Cloud IoT
- Device management
- Protocol bridge
- Cloud Pub/Sub
- BigQuery analytics

Arduino & ESP32
- Low-cost prototyping
- WiFi/Bluetooth
- Extensive sensors
- Large community

Raspberry Pi
- Linux-based
- GPIO pins
- Camera support
- Edge computing
Industrial PLCs
- OPC UA support
- Modbus protocol
- SCADA integration
- Rugged hardware
IoT Solutions by Industry
Connected solutions tailored for your industry's unique challenges
Manufacturing & Industrial
Predictive maintenance, asset tracking, production optimization, and quality control systems
- Reduce downtime by 40%
- Optimize production efficiency
- Real-time quality monitoring
- Predictive maintenance alerts
Healthcare & Medical
Remote patient monitoring, medical device connectivity, and smart hospital systems
- Remote patient monitoring
- Smart medical devices
- Asset tracking
- Environmental monitoring
Smart Buildings & Real Estate
Building automation, energy management, access control, and occupancy monitoring
- Energy savings 30-50%
- Automated climate control
- Smart security systems
- Occupancy analytics
Transportation & Logistics
Fleet management, vehicle telematics, route optimization, and asset tracking solutions
- Real-time fleet tracking
- Fuel consumption monitoring
- Driver behavior analysis
- Route optimization
Agriculture & Environment
Precision farming, soil monitoring, irrigation automation, and livestock tracking
- Soil moisture monitoring
- Automated irrigation
- Weather tracking
- Crop health analytics
Retail & Supply Chain
Inventory tracking, smart shelves, cold chain monitoring, and warehouse automation
- Real-time inventory
- Cold chain tracking
- Theft prevention
- Automated restocking
Popular IoT Use Cases
Discover how businesses leverage IoT technology
Predictive Maintenance
- Equipment health monitoring
- Failure prediction with ML
- Maintenance scheduling
- Parts inventory optimization
Asset Tracking
- Real-time location tracking
- Condition monitoring
- Geofencing alerts
- Route optimization
Energy Management
- Smart metering
- Load balancing
- Consumption analytics
- Renewable integration
Environmental Monitoring
- Air quality tracking
- Temperature & humidity
- Water quality monitoring
- Pollution detection
Technology Stack
Industry-leading tools and platforms for IoT development
IoT Platforms
ThingWorxProtocols
LoRaWANHardware
Raspberry Pi
ArduinoAnalytics & ML
TensorFlow
Apache Kafka
GrafanaOur IoT Development Process
From concept to connected ecosystem
Discovery & Requirements
Understanding your use case, device requirements, connectivity needs, data flows, and defining success metrics with feasibility analysis
Architecture Design
Designing end-to-end IoT architecture including device protocols, edge processing, cloud infrastructure, and security framework
Firmware & Hardware
Developing embedded firmware, integrating sensors, implementing connectivity, and optimizing for power consumption
Cloud Platform Development
Building cloud backend, device management, data ingestion pipelines, analytics engines, and user interfaces
Testing & Certification
Rigorous testing across environments, security audits, performance optimization, and regulatory certification support
Deployment & Support
Device provisioning, production rollout, 24/7 monitoring, OTA updates, and ongoing optimization based on analytics
Frequently Asked Questions
Everything you need to know about IoT development
What types of IoT devices can you develop?
We develop a wide range of IoT devices including consumer smart home devices (thermostats, cameras, sensors), wearables and health monitors, industrial sensors and controllers, agricultural monitoring devices, fleet management and telematics units, environmental monitoring stations, smart energy meters, and asset tracking devices. We work with various hardware platforms from Arduino and ESP32 for prototyping to custom PCB designs for production. Our expertise spans low-power devices, real-time systems, and devices requiring edge AI processing.
How do you ensure IoT security?
Security is paramount in IoT. We implement multi-layered security including secure boot and firmware signing to prevent tampering, end-to-end encryption using TLS/DTLS for all communications, device identity with PKI and X.509 certificates, secure device provisioning and onboarding processes, regular security audits and penetration testing, over-the-air update mechanisms with rollback capability, network segmentation and firewall rules, compliance with OWASP IoT Top 10 and industry standards, secure credential storage (never hardcoded), and defense-in-depth architecture protecting device, network, and cloud layers.
Which IoT platforms do you work with?
We have deep expertise with major cloud IoT platforms including AWS IoT Core (with IoT Device Management, IoT Events, IoT Analytics), Azure IoT Hub (with IoT Central, Azure Digital Twins, IoT Edge), Google Cloud IoT Core (with Cloud Pub/Sub, Dataflow, BigQuery integration), and IBM Watson IoT Platform. We also build custom IoT platforms using open-source technologies like Eclipse IoT, Node-RED, and ThingsBoard. Our platform choice depends on your specific requirements, existing cloud infrastructure, scalability needs, and budget. We can also design hybrid architectures leveraging multiple platforms.
What connectivity protocols do you support?
We support all major IoT connectivity protocols. For short-range: WiFi (2.4GHz and 5GHz), Bluetooth Low Energy (BLE), Zigbee, and Z-Wave. For long-range: LoRaWAN, NB-IoT (LTE Cat-M1), Sigfox, and 5G. For industrial: Modbus, OPC UA, CAN bus, and Profinet. For messaging: MQTT, CoAP, AMQP, and HTTP/REST. We help you select the optimal protocol based on range requirements, power consumption, data rates, cost, and deployment environment. Many of our solutions support multiple protocols for flexibility.
How do you handle IoT device management at scale?
Managing thousands or millions of devices requires robust infrastructure. We implement automated device provisioning and onboarding with zero-touch configuration, fleet segmentation by location, type, or firmware version, remote configuration management without device contact, over-the-air (OTA) firmware updates with staged rollouts and rollback, real-time device monitoring with health checks and diagnostics, automated alerts for offline devices or anomalies, device lifecycle management including decommissioning, and audit logs for compliance. We use platforms like AWS IoT Device Management or build custom solutions with device shadows and command queues.
Can IoT devices work offline?
Yes, we design IoT solutions with offline capabilities for reliability. Devices can operate autonomously using local intelligence and rules, store data locally when connectivity is lost with automatic sync when reconnected, process data at the edge for real-time decisions, implement store-and-forward mechanisms for critical data, and maintain core functionality without cloud connectivity. This is crucial for industrial applications, remote deployments, or locations with intermittent connectivity. We implement edge computing where devices make intelligent decisions locally and only send relevant data or alerts to the cloud.
What kind of analytics can IoT solutions provide?
IoT analytics transform raw sensor data into actionable insights. We provide real-time dashboards with KPIs and live device status, historical trend analysis and pattern recognition, predictive analytics and failure forecasting using machine learning, anomaly detection with automated alerting, geospatial analytics for location-based insights, comparative analytics across device fleets, energy consumption and efficiency metrics, custom business intelligence and reporting, integration with BI tools like Tableau and Power BI, and data export capabilities for further analysis. Analytics can run in the cloud for comprehensive views or at the edge for immediate response.
How long does IoT development take?
Timeline varies by complexity. A proof-of-concept with off-the-shelf hardware and basic cloud dashboard takes 6-10 weeks. A production IoT solution with custom firmware, cloud platform, and mobile app takes 4-6 months. Complex industrial IoT systems with edge processing, advanced analytics, and enterprise integration take 8-12+ months. Major factors include hardware complexity and custom PCB design, firmware development and optimization, cloud platform features and scalability, integration with existing systems, security implementation and certification, testing across environments, and regulatory certifications. We use agile methodology with regular prototypes and can start with MVP to validate concepts.
Can you integrate IoT with our existing systems?
Absolutely. We specialize in enterprise IoT integration with ERP systems (SAP, Oracle, Microsoft Dynamics) for inventory, maintenance, and operations data, SCADA and MES systems for industrial automation, CRM platforms to connect customer data with device usage, databases and data warehouses for analytics, BI tools like Tableau, Power BI, and Looker, cloud platforms if you have existing AWS, Azure, or GCP infrastructure, and legacy systems via APIs, middleware, or protocol adapters. We also integrate with third-party services like weather APIs, mapping services, notification systems, and payment gateways for complete IoT ecosystems.
What ongoing support do you provide for IoT solutions?
Comprehensive IoT support includes 24/7 monitoring of device health and cloud infrastructure, incident response and troubleshooting, OTA firmware updates and security patches, cloud infrastructure maintenance and scaling, device replacement and repair coordination, analytics and usage reporting, performance optimization based on real-world data, feature enhancements and new device types, regulatory compliance updates, documentation and training for your team, and dedicated technical support with SLA guarantees. We offer flexible support packages from basic monitoring to full-service managed IoT operations. Our goal is to ensure your IoT ecosystem runs reliably and evolves with your business needs.










