Industrial IoT
Industry X.O: A hyperconnected universe
Factory X.O: A hyperconnected universe
Factories often lose time and money due to breakdowns, lack of communication between machines and lack of integration of devices to systems, and processes. Machines operate in isolation, offering no foresight. What if sensors could track quality in real time or machines could warn you before failing? Industrial IoT turns these “what-ifs” into reality.
We solve these problems using edge computing, digital twins, and AI analytics. Our solutions go beyond connecting devices. We enable predictive maintenance, streamline remote asset tracking, and optimize performance with real-time data. To make this happen, we incorporate platforms like AWS IoT Core, Azure IoT Hub, and MQTT to ensure seamless communication between devices. For spotting anomalies, digital twins allow us to simulate machine behavior, helping prevent costly failures. It’s not just tech—it’s the future of proactive, data-driven solutions.
With Codewave’s IoT expertise, our clients have achieved:
2x
Higher asset performance
99.99%
Asset Availability and uptime
Instant
Anomaly/failure detection
3x
Faster issue resolution
Why you'll love us?
We’re 10x thinkers and change makers, driving extreme-value innovation through human-centric design and emerging tech, defying the traditional. With a track record of serving 300+ businesses globally, collaborating with VC firms, startups, SMEs, and governments, while also developing our own GenAI products – we’re obsessed with building high-impact products, ready for scale.
Smart sensing tech & constant communication
Our approach
Why Codewave, for IoT development?
What Codewave’s IoT Services Can Do for You?
We approach Industrial IoT with a clear purpose: to create real, measurable impact for your business. Operations are streamlined, reducing downtime, and enabling smarter decisions through holistic insights.
Real IoT value comes from a strategy, not just devices. By analyzing your processes, gaps like data silos and manual inefficiencies are identified.
For instance, IoT sensors can detect early equipment failures, allowing your team to act before breakdowns occur. We ensure your IoT system addresses real needs and delivers measurable results.
Raw IoT data becomes valuable through tools like D3.js and Chart.js. Tracking equipment performance, for example, allows machine learning to predict failures, enabling proactive maintenance and reducing downtime. This leads to faster, smarter decisions that push the business forward.
Custom dashboards built with React and Vue.js offer real-time monitoring, whether tracking production lines or energy usage.
These dashboards integrate with existing systems, providing an intuitive interface accessible on any device to ensure fast decision-making, anywhere.
Every business has unique IoT needs. Custom Industrial IoT applications are built using React Native and Flutter for scalability and daily reliability.
With offline-first architecture and a microservices backend, your app runs smoothly even when connectivity is lost, adapting seamlessly to your business demands.
Security is embedded into every solution, from biometric access to encryption protocols.
For remote monitoring, blockchain technology ensures tamper-proof data, keeping your devices and information secure while your business scales.
Automation powered by AI and machine learning enhances IoT systems, like predicting equipment failures before they happen, minimizing downtime.
AI-driven systems also adapt to user preferences in real-time, making informed decisions that keep your business agile and efficient.
What to expect
What to expect working with us.
Recommended Tech Stack for IoT Projects
Our toolkit is built to handle real-world IoT challenges, from seamless data flow to precise sensor integration and secure connectivity. At every layer, we ensure you have the flexibility and power to scale.
Category | Technology |
Languages | JavaScript (Node.js, React), Python, Swift (iOS), Kotlin (Android) |
Frameworks | React Native, Flutter, Angular, IoT.js |
Platforms | AWS IoT, Microsoft Azure IoT Hub, Google Cloud IoT Core, IBM Watson IoT |
Protocols | MQTT, CoAP, HTTP/HTTPS, WebSockets |
Hardware | Arduino, Raspberry Pi, NVIDIA Jetson, ESP32/ESP8266 |
Sensors | Temperature sensors, Proximity sensors, Accelerometers, Humidity sensors |
Connectivity | Wi-Fi, Bluetooth Low Energy (BLE), Zigbee, LoRaWAN |
Transforming Industries with IoT Solutions
We helped a manufacturing client reduce downtime by implementing predictive maintenance. With over 400 global clients, we deliver innovative solutions that make your systems smarter and more efficient.
Our custom solutions tackle specific challenges in your industry, whether it’s optimizing supply chains or enhancing equipment reliability.
Industry | Usecase |
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Frequently asked questions
Industrial IoT (IIoT) connects sensors, instruments, and devices within industrial setups like manufacturing and energy management. It enables companies to collect, share, and analyze data from physical assets, improving operational efficiency, anticipating maintenance, and fostering innovation in industrial processes.
An IIoT system typically consists of sensors, connected devices, communication networks, cloud platforms for data storage and analysis, and applications that interpret the data to enable informed decision-making.
IIoT offers multiple benefits for your business:
- Boosts operational efficiency through real-time monitoring
- Reduces downtime with predictive maintenance
- Enhances safety and compliance with automated alerts
- Provides data-driven insights for smarter decisions
- Opens up new revenue opportunities with innovative offerings
- Saves costs by optimizing resource and energy usage
IIoT enhances operational efficiency by enabling real-time monitoring, predictive maintenance, and automated control systems, reducing downtime, minimizing resource waste, and improving performance across industrial processes.
By collecting real-time data from machines and sensors, IIoT systems can analyze performance patterns, predict potential failures, and alert teams ahead of time, enabling proactive maintenance and reducing unplanned downtime.
Codewave’s IIoT approach stands out with:
- Design Thinking-led innovation for user-centered solutions
- Global expertise and local support in multiple regions
- Cross-platform development for versatile applications
- A UX-first “Delight by Design” philosophy ensuring intuitive interfaces
Comprehensive services from strategy to implementation and support – our approach ensures your IIoT solution is both technologically robust and aligned with your business goals.
Codewave’s IIoT solutions suit a variety of industries, including:
- Manufacturing
- Energy and Utilities
- Transportation and Logistics
- Agriculture
- Healthcare
- Smart Cities
With experience across sectors, we apply best practices to solve industry-specific challenges with innovative solutions.
Security is a top priority in our IIoT solutions. We ensure protection through:
- End-to-end encryption for safe data transfer
- Secure device authentication and authorization
- Regular security audits and updates
- Compliance with industry-specific security standards
- Edge computing for secure, on-device data processing
Robust access control and user management
Our team stays updated on the latest security threats and best practices, ensuring your IIoT infrastructure is always protected.
Our IIoT implementation process includes:
- Initial consultation and requirements gathering
- Design Thinking workshops to identify challenges and opportunities
- Strategy development and solution architecture design
- Prototyping and iterative development
- Integration with existing systems and infrastructure
- Testing and quality assurance
- Deployment and user training
- Ongoing support and optimization
- Common platforms include AWS IoT Core, Microsoft Azure IoT Hub, Google Cloud IoT, and IBM Watson IoT. These platforms provide the necessary tools for device management, data analysis, and application development.
Yes, IIoT can be integrated with legacy systems through APIs, gateways, and middleware, allowing you to enhance your existing infrastructure with IoT-enabled capabilities without a full system overhaul.
Common sensors in IIoT include temperature sensors, pressure sensors, humidity sensors, motion detectors, and vibration sensors, which collect critical data for monitoring machine health, environmental conditions, and process performance.
IIoT helps optimize energy usage by providing real-time monitoring and insights into energy consumption, enabling predictive maintenance of energy equipment and identifying opportunities to reduce energy waste.
Cloud computing in IIoT enables centralized data storage, scalable processing power, and real-time data analytics. It allows businesses to access their IIoT data and insights remotely, facilitating better decision-making.
By integrating IIoT solutions, businesses can track assets, monitor inventory in real-time, and optimize logistics, ensuring a more efficient and transparent supply chain process.
AI and machine learning play a key role in analyzing large sets of IIoT data. These technologies can predict trends, detect anomalies, and automate processes, improving the accuracy and efficiency of decision-making.
IIoT enhances safety by enabling real-time monitoring of hazardous conditions (e.g., gas leaks, temperature spikes) and providing alerts to prevent accidents, ensuring compliance with safety standards and protecting workers.
The ROI from IIoT can include reduced operational costs, minimized downtime, improved asset utilization, optimized resource allocation, and increased production efficiency, leading to both cost savings and revenue growth.
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