IoT Development
Connect your devices remotely and scale as per your needs with an IoT platform
Experience custom IoT development services that empower remote device management and intelligent data analytics, all designed to meet your unique business needs. Seamlessly integrate numerous connected devices into cutting-edge digital ecosystems that are built with user-centric interfaces and dynamic dashboards.
Our IoT Development Services
IoT Hardware Design
We build embedded systems with our experience and understanding in embedded processing, sensors, wireless and wired communication.
IoT Firmware Integration
We develop and integrate embedded software and firmware (microcontrollers, processors, gateways, sensors) into a host of IoT and M2M devices.
Mobile Apps for IoT Devices
We design cross-platform and native mobile apps that facilitate on-the-go access to data captured by smart devices and behave as a remote control for IoT solutions.
IoT Dashboards
We help clients configure IoT devices, analyze sensor data via BI tools, manage IoT systems remotely and onsite and display it via responsive dashboards.
Edge Computing
We execute edge computing on IoT devices instead of traditional cloud computing to ensure lower latency rates and quicker data offloading time.
Custom IoT Product Development
We develop custom IoT software that interacts with smart IoT devices and ensures that software supports the hardware functionality seamlessly.
Our Industry Specific IOT Use-Cases
We provide industry-specific IoT software development services to meet client expectations.
Logistics
We develop IoT-enabled apps that enable real-time fleet management and greater transportation efficiency for the logistics industry.
- Route Optimization
- Security, surveillance & safety
- Real-time monitoring
Healthcare
We offer IoT application development services for the healthcare industry that allow remote monitoring, deliver better patient care and capture patients’ vitals via IoT devices.
- Simultaneous reporting & monitoring
- Data assortment & analysis
- Tracking & alerts
Smart Home
We provide IoT development services for smart homes & workplaces that directly transform our lifestyles and improve efficiency.
- Controlling home access
- Managing home appliances
- Measuring home conditions
Retail
We develop IoT applications for retail companies that help analyze customer behavior, provide better in-store experiences and boost revenue.
- Improved customer experience
- Enhanced in-store shopping
- Better inventory traceability
Manufacturing
We develop IoT-enabled applications for manufacturing that facilitate production flow, automatically monitor cycles, and manage warehouses and inventories.
- Packaging optimization
- Quality control
- Production flow monitoring
Agriculture
We provide IoT-enabled agricultural solutions to improve crop yield, automate irrigation, and monitor soil & environmental conditions.
- Smart irrigation
- Soil & crop monitoring
- Predictive analytics
Industry 4.0
The manufacturing industry is facing major challenges like skills gaps, supply chain issues, and rising customer expectations. With 22% of skilled workers retiring soon, the industry needs smarter ways to adapt.
Automation
Automate repetitive tasks and improve efficiency with AI & Computer Vision.
Smart Warehousing
Enable faster production timelines and smarter distribution channels.
Workforce Safety
Ensure safer workplaces and free employees from repetitive tasks.
AI & CV
Leverage computer vision to reduce errors, improve detail, and scale operations.
The future is clear: Industry 4.0 will be highly automated, faster, safer, and smarter — powered by AI-driven insights.
What technologies are driving Industry 4.0?
Internet of Things (IoT)
The Internet of Things (IoT) is a key component of smart factories. Machines on the factory floor are equipped with sensors that feature an IP address that allows the machines to connect with other web-enabled devices. This mechanization and connectivity make it possible for large amounts of valuable data to be collected, analyzed and exchanged.
Cloud computing
Cloud computing is a cornerstone of any Industry 4.0 strategy. Full realization of smart manufacturing demands connectivity and integration of engineering, supply chain, production, sales and distribution, and service. Cloud helps make that possible. In addition, the typically large amount of data being stored and analyzed can be processed more efficiently.
AI and machine learning
AI and machine learning allow manufacturing companies to take full advantage of the volume of information generated not just on the factory floor, but across their business units, and even from partners and third-party sources. AI and machine learning can create insights providing visibility, predictability and automation of operations .
Edge computing
The demands of real-time production operations mean that some data analysis must be done at the “edge”—that is, where the data is created. This minimizes latency time from when data is produced to when a response is required. For instance, the detection of a safety or quality issue may require near-real-time action with the equipment.
Cybersecurity
Manufacturing companies have not always considered the importance of cybersecurity or cyber-physical systems. However, the same connectivity of operational equipment in the factory or field (OT) that enables more efficient manufacturing processes also exposes new entry paths for malicious attacks and malware.
Digital twin
The digital transformation offered by Industry 4.0 has allowed manufacturers to create digital twins that are virtual replicas of processes, production lines, factories and supply chains. A digital twin is created by pulling data from IoT sensors, devices, PLCs and other objects connected to the internet. Manufacturers can use digital twins to help increase productivity.
Characteristics of a smart factory
Data analysis for optimal decision making
Embedded sensors and interconnected machinery produce a significant amount of big data for manufacturing companies. Data analytics can help manufacturers investigate historical trends, identify patterns and make better decisions. Smart factories can also use data from other parts of the organization and their extended ecosystem of suppliers and distributors to create deeper insights. By looking at data from human resources, sales or warehousing, manufacturers can make production decisions based on sales margins and personnel. A complete digital representation of operations can be created as a "digital twin."
IT-OT integration
The smart factory’s network architecture depends on interconnectivity. Real-time data collected from sensors, devices and machines on the factory floor can be consumed and used immediately by other factory assets, as well as shared across other components in the enterprise software stack, including enterprise resource planning (ERP) and other business management software.
Custom manufacturing
Smart factories can produce customized goods that meet individual customers’ needs more cost-effectively. In fact, in many industry segments, manufacturers aspire to achieve a "lot size of one" in an economical way. By using advanced simulation software applications, new materials and technologies such as 3-D printing, manufacturers can easily create small batches of specialized items for particular customers. Whereas the first industrial revolution was about mass production.
Supply chain
Industrial operations are dependent on a transparent, efficient supply chain, which must be integrated with production operations as part of a robust Industry 4.0 strategy. This transforms the way manufacturers resource their raw materials and deliver their finished products. By sharing some production data with suppliers, manufacturers can better schedule deliveries. If, for example, an assembly line is experiencing a disruption, deliveries can be rerouted or delayed in order to reduce wasted time or cost.
How Industry 4.0 technologies are changing manufacturing
Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products. Manufacturers are integrating new technologies, including Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their production facilities and throughout their operations.
These smart factories are equipped with advanced sensors, embedded software and robotics that collect and analyze data and allow for better decision making. Even higher value is created when data from production operations is combined with operational data from ERP, supply chain, customer service and other enterprise systems to create whole new levels of visibility and insight from previously siloed information.
This digital technologies lead to increased automation, predictive maintenance, self-optimization of process improvements and, above all, a new level of efficiencies and responsiveness to customers not previously possible.