Cloud SaaS

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

KEY FEATURES

DIGITAL TWINS FOR YOUR PHYSICAL THINGS

A comprehensive Design and Deploy Service that allows 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 ENGINE

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

TECHNICAL FEATURES

User Management

Users can be defined for read and read/write privilege from Country level to Zip Code level.

Users can be configured to design, monitor and operate Digital Twin

Digital Twin flexibility

Each Physical Thing can be modeled at Type, Make, Model and Type an the Twins can be placed at Thing level, Component and Sub-component level.

Sensor Integrity and Data Pipeline

System monitors at defined frequency and alerts if the data collection is
missing due to network failure or sensor failure to apply corrective methods immediately using a mobile workforce management process.

Data Pipeline uses

Performance Management
Quality Management
Preventive Maintenance using Machine Learning
Artificial Intelligence
Application Program Interface programming SaaS engine

Configurable data usage

Derived Data
Time series
Archival for future Reference

Fully Integrated Service

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