Realtime Analytics, IoT and IoT Edge Development

Our Azure IoT Edge module development brings cloud analytics and custom business logic to devices so that your organization can concentrate on business insights instead of data management.

IoT and IoT Edge Development

Internet of Things (IoT) is defined as a physical objects/things network that is ingrained with the software, sensors and other technologies to exchange and connect data with the systems and other devices over the internet. These devices range from sophisticated industrial tools to ordinary household objects.

The number of IoT devices is growing day by day, with a figure of 7 billion today. Further, experts are expecting that this figure will grow by 10 billion by 2020 and 22 billion by the year 2025.

Realtime Analytics

Realtime analytics lets you capture and analyse streaming dataset from IoT sensors, clickstream and logs in near realtime and unlock the hidden pattern and insights.
Also Machine Learning models can be deployed and consumed by the applications, which are front facing for the customers or agent (like recommendation of items or credit score, anomaly detection etc), and make predictions in near realtime.


Internet of Things (IoT) offers various benefits for organizations. Some of the benefits across the different industries are:

  • It helps in saving money and time
  • You can evaluate your customer experience
  • Improves the overall client expectations
  • Your business can enhance the employer productivity
  • Large scale and small scale businesses can generate more revenue
  • You can adapt and integrate models
  • You can make better decisions
  • You can easily evaluate the overall business processes

Not sure what to do next?

Do you want to shape the future of your business? Also, do you know most businesses are reaping the benefits of IoT Edge and Realtime Analytics?

So, we are here to help you to be the market leader!

Don’t know where to start in your Realtime Analytics journey?

We can deploy Machine Learning models on Edge device so the prediction can happen on the device itself. There are lot of use cases for instance Vision@Edge, Predictive maintenance and Monitoring of your equipments etc.