IoT Platform Development & Integration
Comprehensive ecosystems connecting devices, collecting data, and enabling intelligent automation across your operations
Building Connected Infrastructure
Modern operations require systems that seamlessly connect physical devices to digital infrastructure. Our IoT platform development service creates comprehensive ecosystems where sensors, actuators, and equipment communicate reliably while data flows from edge devices through gateways to cloud analytics platforms.
We engineer end-to-end solutions spanning embedded firmware, communication protocols, edge computing nodes, backend services, and user interfaces. Each platform component is designed for reliability, with redundancy mechanisms and fault tolerance built into the architecture from the foundation.
The platforms we develop handle device provisioning at scale, managing authentication credentials and configuration parameters for thousands of endpoints. Secure communication channels protect data in transit using industry-standard encryption, while device identity management prevents unauthorized access to your network.
Edge computing capabilities process data locally where it originates, reducing bandwidth requirements and enabling immediate responses to time-sensitive conditions. This distributed processing approach allows critical decisions at the edge while aggregating relevant data for centralized analytics.
Integration with existing enterprise systems ensures IoT data drives business processes rather than existing in isolation. We establish connections to SCADA systems, manufacturing execution systems, enterprise resource planning platforms, and business intelligence tools so operational data informs decisions across your organization.
Operational Improvements and Business Value
Enhanced Operational Visibility
Organizations implementing comprehensive IoT platforms gain real-time visibility into equipment status, environmental conditions, and process parameters across distributed facilities. This visibility enables faster response to operational issues and data-informed decision making.
Process Automation
Connected systems enable automated responses to conditions and events, reducing manual intervention requirements. Manufacturing clients have implemented automated quality control adjustments and warehouse operations have optimized material handling through connected logistics systems.
Data-Driven Optimization
Historical data collected through IoT platforms reveals patterns and trends that inform operational improvements. Energy management systems have reduced consumption by identifying inefficient equipment usage patterns, while production facilities have optimized throughput by analyzing cycle times across workstations.
Risk Mitigation
Continuous monitoring enables early detection of abnormal conditions before they escalate into significant problems. Cold chain logistics operators maintain product quality through temperature monitoring, while infrastructure managers identify potential failures through vibration analysis and thermal imaging.
Implementation Timeline
A manufacturing facility in Kanagawa deployed our IoT platform across 85 production machines in September 2025. The system now processes over 2.3 million sensor readings daily, with edge nodes handling local control decisions within milliseconds while aggregating trend data for analysis. Their maintenance team receives automated alerts for equipment requiring attention, and production managers access real-time dashboards showing output rates and quality metrics across all lines.
Technologies and Implementation Approach
Backend Infrastructure
We build scalable backend systems using microservices architectures deployed on container orchestration platforms. Message brokers handle asynchronous communication between services, while time-series databases efficiently store and query sensor data. API gateways provide secure access to platform capabilities for web and mobile applications.
Technologies: Kubernetes, MQTT brokers, TimescaleDB, InfluxDB, Redis caching, RESTful APIs, WebSocket streams
Communication Protocols
Our platforms support multiple communication protocols selected based on device capabilities and network conditions. MQTT provides lightweight publish-subscribe messaging for resource-constrained devices, while CoAP enables efficient REST-like operations. We implement protocol bridges where gateways translate between different communication standards.
Protocols: MQTT, CoAP, HTTP/HTTPS, WebSockets, AMQP, OPC-UA for industrial integration
Edge Computing Implementation
Edge nodes run containerized applications that process data locally, executing control logic and filtering information before transmission to cloud services. We deploy edge analytics for pattern recognition, anomaly detection, and automated responses that cannot tolerate cloud round-trip latency. Offline operation capabilities ensure continued functionality during network disruptions.
Edge platforms: ARM-based industrial computers, embedded Linux distributions, container runtimes, local database caching
Security Implementation
Device identity is established through X.509 certificates or secure key provisioning during manufacturing. All communication channels use TLS encryption, with certificate rotation managed automatically by the platform. Network segmentation isolates IoT traffic from corporate networks, while intrusion detection monitors for suspicious patterns. Over-the-air update mechanisms verify firmware signatures before installation.
Security measures: PKI infrastructure, TLS 1.3, OAuth 2.0, role-based access control, audit logging, secure boot verification
User Interface Development
We develop web dashboards and mobile applications that visualize device status, sensor readings, and analytical insights. Real-time updates using WebSocket connections provide immediate feedback on system state changes. Interface design prioritizes operational clarity with customizable views for different user roles from field technicians to executive management.
Frontend technologies: React, responsive design frameworks, real-time charting libraries, progressive web apps, native mobile applications
Reliability and Operational Standards
Redundancy and Failover
Critical platform components are deployed with redundancy across multiple availability zones. Load balancers distribute traffic automatically, and health checks trigger failover to backup systems within seconds. Edge gateways cache data locally during network outages, synchronizing when connectivity resumes.
Performance Monitoring
Comprehensive monitoring tracks system performance metrics including message latency, processing throughput, and resource utilization. Automated alerts notify operations teams of performance degradation or capacity thresholds, enabling proactive scaling and optimization before user impact occurs.
Documentation Standards
All platform components include comprehensive documentation covering architecture decisions, API specifications, deployment procedures, and troubleshooting guides. Code repositories maintain detailed commit history and inline comments explaining complex logic. Configuration management systems track all environment changes.
Testing Protocols
Automated testing validates functionality at multiple levels from unit tests through integration and end-to-end scenarios. Load testing simulates thousands of concurrent device connections to verify platform scalability. Security testing includes vulnerability scanning and penetration testing by qualified assessors.
Version Control
All source code, infrastructure definitions, and configuration files are managed through version control systems. Deployment pipelines enforce code review requirements and automated testing before changes reach production environments. Rollback capabilities enable rapid recovery from problematic releases.
Compliance Frameworks
Platform architecture follows security frameworks and data protection requirements relevant to your industry. Access controls enforce least-privilege principles, and audit logs track all system interactions for compliance reporting. Data retention policies align with regulatory requirements.
Organizations That Benefit From IoT Platforms
Manufacturing operations with distributed equipment gain visibility into production metrics, equipment health, and quality parameters across multiple facilities. Connected machines enable coordinated production scheduling and automated quality control adjustments based on real-time conditions.
Logistics and supply chain organizations track assets throughout transportation networks, monitoring location, environmental conditions, and handling events. Cold chain operators maintain product integrity through continuous temperature monitoring with automated alerts for deviation from specified ranges.
Building management systems control HVAC, lighting, and access systems while optimizing energy consumption based on occupancy patterns and environmental conditions. Facility managers receive alerts for maintenance requirements and access historical data for operational analysis.
Infrastructure operators monitor the condition of bridges, tunnels, and utility networks through sensor arrays measuring structural integrity, environmental factors, and usage patterns. Early warning systems detect conditions indicating potential failures, enabling preventive maintenance.
Agricultural operations optimize irrigation, monitor soil conditions, and track environmental parameters affecting crop growth. Automated systems adjust water delivery based on moisture sensors and weather forecasts, reducing resource consumption while maintaining optimal growing conditions.
Retail environments track inventory levels, foot traffic patterns, and equipment status across multiple locations. Point-of-sale integration enables real-time inventory visibility, while environmental monitoring ensures proper conditions for temperature-sensitive products.
Performance Metrics and System Visibility
Platform dashboards provide real-time visibility into device connectivity status, message throughput, and system health across your IoT infrastructure. Operators monitor active device counts, connection quality metrics, and data processing latency through centralized interfaces that aggregate information from distributed edge nodes.
Historical data analysis reveals trends in device behavior, network performance, and application usage patterns. Time-series visualizations show sensor readings over configurable intervals, while statistical summaries identify outliers and anomalies requiring investigation.
Alert management systems notify appropriate personnel when devices go offline, sensors report values outside expected ranges, or system resources approach capacity limits. Alert routing ensures messages reach the right teams based on severity level and domain expertise requirements.
Integration with business intelligence tools enables custom reporting on IoT data, combining operational metrics with business context. Export capabilities allow data analysis in spreadsheet tools or specialized analytics platforms for deeper investigation.
Edge processing latency for time-critical operations
Platform uptime maintained through redundancy
Messages processed daily in production deployments
Start Your IoT Platform Development
Connect with our engineering team to discuss your connected device requirements and explore how a comprehensive IoT platform can enhance operational visibility and automation capabilities.
Investment starting from ¥4,850,000
Explore Our Other Services
Embedded Systems Engineering
Reliable firmware and embedded Linux systems optimized for power efficiency and real-time performance across microcontrollers and industrial hardware platforms.
Learn MoreIndustrial IoT Solutions
Transform manufacturing operations with sensor networks, predictive maintenance systems, and real-time monitoring integrated with SCADA, MES, and ERP platforms.
Learn More