Business operations are transformed with Internet of Things applications. Sensor integration, real-time monitoring, smart automation, and data analytics are provided that drive efficiency, insights, and innovation across industries.
IoT solutions are delivered in Mumbai including industrial IoT for manufacturing, smart building automation, sensor network integration, real-time monitoring systems, and predictive maintenance with connected devices and proven uptime delivered across industries.
Connected systems are created using AWS IoT Core, Azure IoT Hub, Google Cloud IoT, MQTT protocols, LoRaWAN, Raspberry Pi, Arduino, ESP32, and edge computing technologies. Solutions are provided including sensor integration, data analytics, cloud platform development, dashboard visualisation, and mobile apps for remote monitoring. Explore our IoT project portfolio or learn about our AI integration capabilities.
Scalable solutions are delivered including smart manufacturing automation, building management systems, and large-scale industrial IoT with efficiency improvements, agile development, testing, and monitoring around the clock. Contact us for IoT consultation and implementation plan with ROI analysis and technical recommendations.
Connected systems are created that bridge physical and digital worlds. Scalable IoT solutions are designed and implemented that collect, process, and analyse data from multiple sources to provide insights and automated responses with proven results.
Solutions are delivered from industrial automation and smart building systems to environmental monitoring and predictive maintenance. IoT implementations use sensors, edge computing, cloud integration, and machine learning to create efficient, responsive, and intelligent systems. Learn about our cloud infrastructure and web dashboard development.
Operations are optimised, safety is enhanced, costs are reduced, and new revenue streams are created. End-to-end IoT solutions provide the foundation for digital transformation and Industry 4.0 initiatives with measurable outcomes.
IoT solutions are designed to connect devices, collect data, and drive automation across industries and applications.
Integration of sensors, actuators, and smart devices is provided with custom firmware development, MQTT and LoRa protocols, and connectivity solutions for reliable data collection and device control. Edge devices are connected with secure authentication and bidirectional communication.
Live data visualisation dashboards, alert systems, and monitoring platforms are built using Grafana and custom web interfaces that provide instant insights into device status, performance metrics, and environmental conditions. Anomalies are detected and notifications are sent for rapid response.
Analytics are delivered using InfluxDB time-series data and machine learning algorithms with Python and TensorFlow that process IoT data to identify patterns, predict failures, and optimise system performance. Historical trends are analysed and forecasting is provided for decision-making.
Automation systems are created using Node-RED and rule engines that respond to sensor inputs, environmental changes, and business rules to optimise operations with minimal human intervention and reduced costs. Workflows are automated with intelligent logic and condition-based triggers.
Scalable cloud infrastructure is implemented on AWS IoT Core, Azure IoT Hub, and Google Cloud IoT for data storage, processing, and device management with support for edge computing and hybrid architectures. Cloud connectivity is established with MQTT over TLS for security.
End-to-end security is implemented with TLS and SSL encryption, device authentication, secure boot, data privacy, MQTT over TLS, regular security audits, and compliance with ISO 27001 and industry standards. Firmware updates are delivered with OTA capabilities for vulnerability patching.
IoT platforms, protocols, and hardware are used to build robust, scalable, and secure connected systems.
Cloud IoT platform
Microsoft IoT services
Google IoT platform
Lightweight messaging
IoT development language
Embedded programming
Prototyping platform
Single-board computer
Wireless communication
Long-range connectivity
Time-series database
NoSQL database
A systematic approach to IoT implementation is followed to ensure integration, reliable performance, and scalable growth for connected systems.
Operational needs are analysed including environment conditions, connectivity requirements, and scalability goals to design optimal IoT architecture and hardware selection. Current infrastructure is assessed and future growth is planned for system evolution.
Scalable IoT infrastructure is designed including device selection with sensors and gateways, communication protocols including MQTT and LoRa, data flow design, and cloud integration strategy with edge computing. Network topology is mapped for efficient data transmission.
Custom IoT devices are created with sensor integration using Arduino and ESP32, firmware development in C and C++, establishing secure device connectivity and two-way communication with cloud platforms. Device authentication and OTA update capabilities are implemented.
Cloud platforms are implemented including AWS IoT and Azure IoT Hub with data processing pipelines using InfluxDB, real-time analytics, and user interfaces developed with Grafana for system management and monitoring. Dashboards are created for visualisation and control.
Testing is conducted including connectivity validation, performance benchmarking, load testing, and security audits with penetration testing to ensure compliance with ISO 27001 and industry standards. Vulnerabilities are identified and patches are applied before deployment.
System deployment is completed with installation support and ongoing monitoring around the clock alongside maintenance services and OTA firmware updates. Optimisation is provided for enhanced performance, reliability, and cost reduction with technical support delivered via multiple channels.
Recent IoT solutions are showcased that demonstrate expertise in creating connected systems across industries.
An industrial IoT solution was created with predictive maintenance reducing downtime, real-time equipment monitoring, automated quality control, and production optimisation for efficiency. Sensor networks were deployed and machine learning models were trained for failure prediction.
An integrated building automation system was delivered with energy savings through monitoring, environmental control, HVAC optimisation, security integration, and occupancy management. IoT sensors were installed and cloud dashboards were developed for facility managers.
A precision agriculture solution was built with soil moisture monitoring, weather stations, automated irrigation control, and crop health analytics for yield improvement and optimised farming. Remote sensors were deployed and mobile apps were created for farmers.
Operations can be transformed with IoT solutions that provide real-time insights, automation, and competitive advantages in the digital era.
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