Be an IoT Leader

Not an IoT Laggard

With the rapid pace of change in IoT, especially in disciplines such as intelligent machines, expertise to build holistic solutions is scarce. Kavi Global as a dedicated IoT Partner will help you create and implement a better IoT strategy; as well as address all skills and expertise equirements in your IoT blueprint.

The Merge of Two Superpowers: IoT & Analytics

Internet of Things (IoT) has fundamentally changed the way of doing business. We are now in the Fourth Industrial Revolution, aka Industry 4.0, which takes the automation and digitization we saw in the Third Industrial Revolution into the future. Industry 4.0 is powered by the Industrial Internet of Things (IIoT) and cyber-physical systems.
IoT analytics is the application of data analysis tools and procedures to realize value from the huge volumes of data generated by connected Internet of Things devices. The potential of IoT analytics is often discussed in relation to the Industrial IoT which makes it possible for organizations to collect and analyze data from sensors on manufacturing equipment, pipelines, weather stations, smart meters, delivery trucks and other types of machinery.

IoT: Driving Analytics to the Edge

IoT has also been driving analytics to the edge, which means collecting and analyzing data at the sensor, device, or touch point itself rather than waiting for the data to be sent back to a cloud or on-premise server. Starting from designing the architecture to deploying the defined architecture across the organization, we have expertise in implementing solutions such as remote monitoring and diagnostics, reliability analytics, asset downtime reduction as well as addressing all skills and expertise equipments in your IoT blueprint.

IoT Use Cases

IIoT & Streaming Analytics for Predictive Maintenance of Intelligent Industrial Assets

Predictive maintenance involves continuousmonitoring of machine and sensor data to help equipment manufacturers and service providers predict and address maintenance issues before they occur. With Cloud Native solutions like Azure IoT Hub, sensors can be integrated as devices to the IoT Hub, which can receive messages periodically from the devices, and send it to other solutions such as Azure Time Series Insights for continuous monitoring.

Reduce asset down time by providing the ability to monitor events, visualize & manage exceptions in real time.

Reduce costs by introducing a condition based maintenance program by further augmenting the master modeling data with sensor data.

Modernize & enhance Remote Monitoring and Diagnostics platform capabilities with streaming, real time data ingestion, transformation & in-stream analytical capabilities.

Transform from a hardware/data provider to a value added solution provider by offering analytical solutions that combine the sensor data with customer data.

Provide analytical solutions on real-time data to lower maintenance costs and minimize downtime. Conduct preventive maintenance plan to control and eliminate causal stressors prior.

IoMT for Real time Patient Monitoring from Wearables & Intelligent Healthcare Medical Devices

IoMT enables medical devices and innovative sensors to connect to the internet, which facilitates the collection of huge amounts of critical data. This data can then be analyzed and used to understand patient conditions, to diagnose faster and more accurately, and to understand resource utilization patterns at a healthcare facility. Some other exciting use cases for IoMT analytics involve Remote real-time patient monitoring, Chronic disease monitoring, verifying treatment plan adherence, etc.

Technology to enable monitoring of patients outside of conventional clinical settings, such as in the home or in a remote area, which increases access to care and decreases healthcare delivery costs.

eCAP is a smart pill bottle which monitors patients medication consumption as prescribed by their doctors. AI driven alerts remind patients to take medicine, and alert doctors when they do not.

Kavi Global will help you to

   Design the IoT strategy required to solved your data needs
   Map the flow of data from data gathering to analytics
   Decide where to perform the analytics in your architecture
   Deploy the defined architecture across the organization
   Arrive at the optimal level of automation

Our IoT Capabilities Include


Synthesize the vision and key business outcomes into the solution. Arrive at an architecture with tools and technologies that support the immediate and long term requirements of the solution.


Install and configure the determined software and tools as per the approved deployment architecture. Provision and administer the platform.


Ingest stream data from the devices , processes it into usable information, and finally analyze to provide actionable results.


Evolve the solution and deliver dditional capabilities at a high velocity.

Our IoT Capability Framework

Open Source IoT Technologies
Azure IoT
On-Premise, any Cloud and Hybrid
Edge Processing
Support Propriety Protocols, Device SDK’s, Apache Edgent
AWS Device SDK
Azure Device SDK
Gateway Communication
MQTT, TCP Sockets, HTTP, Web Socket
MQTT, HTTP, MQTT, Web Socket
AWS IoT – Registry, Rules, Device Shadow
IoT Hub
Data Storage
Implement custom platform components to support solutions
DynamoDB, RDS
Cosmos DB, SQL Server
Data Integration and Streaming
Advana, Apache Spark, Kafka, Storm
Amazon Kinesis
Azure Stream Analytics
Analytics/Machine Learning
Advana, Apache Spark MLLib
Amazon Machine Learning, EMR
Azure Machine Learning
Smart Application using AngularJS, Highcharts, REST Services etc
Only Visualization using Amazon Quicksight
Only Visualization using PowerBI

Our IoT Capability Framework

Some of the many IoT technologies we work with

Our IoT Success Story

Helping a Manufacturing conglomerate enter
the IIoT Market and build new revenue streams