Comprehensive, Easy-to-use, Scalable and Secure service to Digitize Operations.

Built on top of world leading Cloud and IoT service framework

Works with Industry grade solutions to make the service robust and always on

Digital twins for your physical things

A comprehensive Design and Deploy Service that allowsa a definition of Physical things mapped to Digital Twins. The definition is flexible and allows you to choose what components you want to Digitize.

data accuracy and precision

An Intelligent State Machine that runs the Digital Twin, and ensures the Digital components are working and generating data per design. It ensures a robust data pipeline for various degrees of enrichment and reasoning to be applied on the data for actions related to the desired outcome.

ai & ml

Analytics Service that can be programmed on-the-fly to apply enrichment and reasoning and trigger actions. Whether Performance Monitoring or Quality Management, Machine Learning or AI engine Integration – you as the Customer have the choice to apply enrichment and reasoning to a level of digitization you desire.

Nextqore service is built to scale, and can work with Various service blocks such as Equipment, Fleet, Space or Objects that – You can map to Digital Components in a way that achieves the targeted outcomes from your Digitization Program.

The service includes a method to issue field orders for Digital Twins to be managed. The same service for field orders can be configured for managing the Physical Things as well.

Link to customizable dashboards for mobile and computers here


Nextqore SaaS helps convert all your Current practices to Digital Practices. It offers a robust method to produce a reliable data pipeline of all the ‘Things’ to be digitized, to help decision making for digital transformation. Nextqore technology can be applied for Industrial IoT, Commercial IoT and Digital Native Applications.


Each Physical Thing can be modeled to a Digital Twin at Type, Make, Model.
The Digital Twin can be placed at Thing, Component, Sub-Component, and Part level.


Derived Data
Time series
Archival for future Reference


Integrates industry standard Cloud services and Infrastructure to make the service easier to Digitize Operations