Internet Of Things

Run a fully connected digital business with our Internet of Things (IOT) applications, platform, and technology. Build new business models, harness real-time intelligence, and support adaptive processes from core to edge. What makes the IOT possible? The IOT depends on a whole host of technologies - such as application programming interfaces (APIs) that connect devices to the Internet.

Other key IOT technologies are Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radio-frequency identification (RFID).


Smart Boat(IOT Enabled)

Smart Boat offers right-shore solutions leveraging arbitrage and technology to produce a hybrid engagement model that permits intensive efforts to improve liquidation performance while being sensitive to customer experience and regulatory compliance.

We attribute much of our success to the initial collaboration with our clients, our world class leadership team and our commitment to hiring the best and the brightest at every level of the organization. With a focus on customer satisfaction and improving our client's recovery results we have been able to target our training efforts to maximize the skill sets of our associates to meet your needs.

Our strengths include the combination of youth, experience and wisdom. The young minds add to the vibrant energy and creative thinking to our organization. The veterans add invaluable experience through their knowledge and expertise to the team. Read More

IOT Automotive

The term ‘automotive IoT’ refers to embedding IoT technologies into automotive systems to create new applications and solutions which can make vehicles smarter and more intelligent, facilitating safe, efficient and comfortable driving.IoT technologies are used in the automotive sector to create innovative and advanced solutions, including connected car solutions, Advanced Driver-Assistance Systems (ADAS), in-vehicle infotainment systems, navigation & telematics solutions, predictive maintenance solutions, Vehicle-to-Vehicle (V2V) applications, Vehicle to Infrastructure (V2I) applications, and Vehicle to Everything (V2X) communication applications.

IoT is the main driver of modern in-vehicle infotainment systems. IoT enables infotainment systems to be connected with other in-vehicle systems, and also with external devices for internet connectivity. IoT-enabled infotainment systems are capable of providing information on navigation and telematics. They also provide a range of entertainment options and support connectivity with smartphones. Android-based infotainment systems, supported and encouraged by Google, are ready to transform the market. Such infotainment systems will support a range of apps, including Google Maps, Google Assistant and several apps from the Play Store.

The Internet of Things is one of the most exciting technologies of our time. When objects connect to each other, many things are possible - from smart lighting solutions to autonomously driving cars to GPS tracking for e-bikes. Here you can find out more about what lies behind the term "Internet of Things" ("IoT"), the different areas of application, and the technologies that can be differentiated. We also take a closer look at IoT and connected bikes and e-bikes.


Environmental monitoring

Measuring the required environmental metrics (temperature, humidity, pollution, CO2 level, etc.). Helps check the compliance of asset storage and transportation, monitor operation conditions for industrial equipment and at human workplaces, understand the environmental impact of processes.


Optimization of energy consumption

Automated control over the intensity of energy utilization depending on the outside conditions. Applicable to personal (home lights) and public (street lights) surroundings.


Video surveillance

Real-time alerting on abnormal behavior within the area under surveillance. Used for crime prevention, early fire detection, traffic incident alerts.


Our IoT Services

Consulting for the best value from IoT adoption

  • Investigating your business context and tasks/problems you want to address with IoT implementation.
  • Defining what data must be collected to meet project goals.
  • Functionally scoping each solution component: smart things, data warehousing and analytics solutions, control and user-facing apps.
  • Planning a data center with proper data processing and mining capabilities.


IoT solution implementation

  • Data generation layer: configuring IoT devices and connecting them to the network.
  • Edge computing: building a decentralized network to keep data processing close to where it originates, which allows for fast local decisions.
  • Data center setup: modelling a data processing environment for heterogeneous IoT data, applying machine learning and data science algorithms to identify patterns and trends needed for the solution of required problems.
  • Development of control apps: creating web and mobile apps enabling remote control of IoT devices.
  • End-user app development: creating different types of apps (web, mobile, VR/AR, smart screens, voice assistants) to serve visualized data insights.


IoT application management

  • Technical support and troubleshooting: quick identification of data quality, application availability and usage issues.
  • Cloud management: monitoring and optimization of cloud resources consumption.
  • Security management and regulatory compliance: network, server, database, and application vulnerability assessment; infrastructure compliance review; DDoS and APT prevention.
  • IoT solution evolution: application updates and expansions to support your changing business needs.


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