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

Asset Tracking

Struggling to track assets? We integrate IoT sensors with Node-RED and TensorFlow to create automated tracking systems.

For example, if a forklift is delayed or a shipment goes off route, you’ll get instant updates to make corrections on the spot. This eliminates manual tracking errors, speeds up operations, and ensures your resources are always where they’re supposed to be.

Machine Monitoring

Downtime can be expensive, and unexpected breakdowns happen in business. IoT sensors and IBM Maximo lets you monitor machines 24/7.

Imagine a system that alerts you when a motor is overheating before it fails. That’s exactly what we deliver. You’ll avoid costly interruptions and extend the life of your equipment by addressing issues early.

Predictive Maintenance

Why waste time and money on scheduled maintenance that isn’t actually required? Azure IoT Hub allows us to predict failures by analyzing performance data.

For instance, if a conveyor belt shows wear beyond safe thresholds, you’ll get an alert to service it before it snaps. This keeps your machines running efficiently while reducing unnecessary repairs and downtime.

Proactive Maintenance

Why wait for something to break? Our IoT sensors, paired with Siemens MindSphere, provide a constant health check on your machines. Think of it as a mechanic keeping tabs on your equipment 24/7.

Get frequent alerts to potential problems instead of waiting for an emergency. With this proactive approach, you’ll keep production steady and avoid unplanned expenses.

Inventory Management

Running out of inventory or sitting on too much? RFID tags and SAP Leonardo lead to track stock levels in real time. For example, if your warehouse is running low on key parts, our system alerts you so you can reorder on time.

Additionally, use AI to predict future inventory needs based on seasonal trends, helping you maintain just the right balance—nothing more, nothing less.

Supply Chain Management

A single delay can throw your entire supply chain into chaos. IoT-powered systems, like SAP S/4HANA, provide real-time shipment updates.

For instance, if a truck is stuck in traffic, you’ll know immediately and can reroute other deliveries. This transparency helps you prevent delays, reduce costs, and ensure everything moves smoothly.

Automated Industrial Processes

Manual processes create opportunity for error and inefficiency. We automate industrial workflows using tools like Node-RED for process adjustments and TensorFlow for predictive controls.

It works for a production line that adjusts its speed automatically to meet demand fluctuations. With automation in place, you’ll boost productivity, eliminate costly errors, and save time.

Smart Data Analytics

Decision-making gets tricky when you’re working with outdated numbers. Apache Kafka and Power BI work best to deliver live, actionable insights.

For example, you can track energy usage in real time and reduce consumption during low-demand periods. By analyzing trends and forecasting needs, we empower you to make better decisions, faster.

Edge Computing

Lack of decisiveness and timely decisions can slow down your business growth, especially in remote areas. Codewave’s edge computing solutions, powered by AWS Greengrass and Microsoft Azure IoT Edge, process data directly at the source.

Imagine monitoring a wind turbine in a remote area and getting instant alerts about performance drops. This local processing minimizes delays and keeps operations running efficiently, even in low-connectivity zones.

Remote Monitoring

When your infrastructure is spread out over large areas, staying on top of performance becomes a challenge. We use IoT sensors with Google Cloud IoT and AWS IoT Core to monitor systems remotely.

For example, if a power grid experiences voltage fluctuations, you’ll be notified immediately. This early detection helps you resolve issues before they cause major disruptions, ensuring reliability and uptime.

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.

Devising Strategy

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.

Data to Insights

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

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.

Custom IoT Solutions

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.

Data Security at Every Layer

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.

Automating Decisions with AI/ML

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
Healthcare	Gain real-time patient monitoring and medication tracking for better care. Our smart hospital management systems free up your team to focus on patient needs, boosting care quality and efficiency.
Transportation	Keep your fleet moving smoothly with real-time tracking and predictive maintenance. Our traffic management systems ease congestion, increasing efficiency and helping you stay on schedule.
Energy	Monitor energy use in real time and avoid costly outages with predictive maintenance. Our smart grid management balances supply and demand, supporting sustainability goals and reducing waste.
Retail	Streamline inventory management and improve customer experiences with automated checkouts. Real-time insights let you tailor promotions and stock, ensuring smooth, customer-friendly operations.
Insurance	Assess risks in real time and detect fraud early for precise pricing and quick claims processing. Our IoT solutions improve operational efficiency and customer satisfaction.
Agriculture	Use smart monitoring for soil, crops, and livestock to make data-driven farming decisions. With automated irrigation and real-time weather data, you boost productivity and sustainability.
Education	Create interactive learning spaces and enhance campus safety with automated systems. Personalized tools provide an engaging and supportive learning environment for each student.

Frequently asked questions

.01 /What is Industrial IoT (IIoT)?

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.

.02 /What are the key components of an Industrial IoT system?

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.

.03 /How can IIoT benefit my business?

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

.04 /How can Industrial IoT improve operational efficiency?

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.

.05 /How does Industrial IoT support predictive maintenance?

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.

.06 /What makes Codewave's approach to IIoT unique?

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.

.07 /Which industries can benefit from Codewave's IIoT solutions?

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.

.08 /How does Codewave ensure the security of IIoT 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.

.09 /What is the process for implementing an IIoT solution with Codewave?

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

.10 /What software platforms are used in Industrial IoT development?

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.

.11 /Can IIoT be integrated with existing industrial systems?

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.

.12 /What types of sensors are used in Industrial IoT?

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.

.13 /How do IIoT solutions help with energy management?

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.

.14 /What is the role of cloud computing in Industrial IoT?

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.

.15 /How can IIoT enhance supply chain visibility?

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.

.16 /What is the role of AI and machine learning in IIoT?

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.

.17 /How can IIoT improve safety in industrial environments?

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.

.18 /What kind of ROI can businesses expect from implementing Industrial IoT?

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.