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IoT and Cloud Services & Solutions

Help digitalize and automate your business and life

The Internet of Things not only improves the efficiency of your company processes but also affects all aspects of your life you are living in.


Retailers capture IoT data from in-store and digital channels and apply analytics (including artificial intelligence, or AI) for real-time, contextual listening and to understand behavior patterns and preferences


Advanced IoT sensors in factory machines or warehouse shelves, along with big data analytics and predictive modeling, can prevent defects and downtime, maximize equipment performance

Health Care

Wearable devices help monitor exercise, sleep and other health habits. This IoT data enables precise diagnoses and treatment plans, improves patient safety and outcomes, and streamlines care delivery

Transportation and Logistics

IoT with geofence-enabled location intelligence and AI, deployed across the value chain, can deliver greater efficiency and reliability for transportation and logistics companies


IoT applications are used to address many real-world issues – traffic congestion, city services, economic development, citizen engagement, and public safety and security.


Distributed grid resources like solar and wind are integrated through IoT. And behavior data – such as that collected from smart homes – improves convenience and security

IoT Platforms and Frameworks

Production-grade Platforms

We meet the need for industry-standard IoT platforms and solution frameworks that streamline IoT application development

Google Cloud IoT




Microsoft Azure IoT




How we build an IoT system

Provide the four-stage architecture

Stage 1: Sensors and Actuators

Sensors/Actuators (Wired, Wireless): Convert analog data sources to digital ones. Sensors capture data regarding the status of a process or an environmental condition

Stage 2: Internet Gateways and Data Acquisition Systems

The DAS aggregates and formats the data before sending it through an Internet gateway via wireless or wired WANs for the next stage of processing.

Stage 3: Pre-processing: Analytics at the Edge

Once the IoT data has been digitized and aggregated, it will need processing to further reduce the data volume before it goes to the data center or cloud

Stage 4: In-depth Analysis in the Cloud/DC

Powerful IT systems can be brought to bear to analyze, manage, and securely store the data. This usually takes place in the corporate data center or in the cloud

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