QBurst
Overview
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HQ Location
Australia
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Year Founded
2004
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Company Type
Private
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Revenue
$10-100m
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Employees
201 - 1,000
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Website
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Twitter Handle
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Company Description
QBurst is a full-service software solutions provider that works with
clients to maximize the effectiveness of their business through the
adoption of digital technology.
clients to maximize the effectiveness of their business through the
adoption of digital technology.
IoT Solutions
QBurst provides development services in PHP, Java, Python and Ruby, and
is conversant with popular frameworks like Spring, Symfony,
Ruby-on-Rails and Django. In the mobile space, the company has
developers in iPhone, Blackberry and J2ME.
is conversant with popular frameworks like Spring, Symfony,
Ruby-on-Rails and Django. In the mobile space, the company has
developers in iPhone, Blackberry and J2ME.
IoT Snapshot
QBurst is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, sensors, and robots technologies, and also active in the buildings, education, healthcare and hospitals, renewable energy, retail, security and public safety, and transportation industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
QBurst’s Technology Stack maps QBurst’s participation in the infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, sensors, and robots IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
AI-Based Robot Calibration
The client was in the process of developing a smart table tennis robot that can be controlled by a mobile app. The app can be used by players to configure or choose from a list of pre-programmed drills. The robot plays the drills and programs as per user configuration; however, performance reduces over time due to aspects such as the wear and tear of machine parts. Additionally, faulty installation, errors in table dimensions, and alignment changes caused during shipping impact accuracy.QBurst was tasked with improving firmware performance. The project would focus on enhancements to the calibration mechanism of robots leading to improved gameplay and user satisfaction. The client wanted the calibration mechanism to be easy to use and repeatable.
Case Study
Web Portal Development for a Security Solutions Company
The client, a security service provider, required a web portal that could manage different user roles and integrate with Customer Premise Equipment (CPE) to manage various services. The portal was expected to offer service desk functionalities and integrate with third-party systems for implementing SMS functionality. The client's customers are organizations that have one or more CPEs and avail different services from the client. The client's business solution is a combination of hardware and software components providing security services and the ability to manage service configurations. The service subscription and service delivery of all office security service-related reports/analysis is controlled from the client’s cloud infrastructure.
Case Study
RPA Solution for Shipment Tracking: A Case Study
The client, a leading service provider to the international engineering industry, was facing significant challenges in tracking and managing the status of shipments. The existing legacy systems and manual processes were cumbersome, time-consuming, and prone to errors, leading to inaccuracies and productivity losses. The client required a solution that could improve visibility, efficiency, quality of service, and profitability by tracking the lifecycle of shipments. The need was for a solution that could provide real-time tracking of worldwide shipment details, and could be maintained within the SharePoint environment for reporting and analytics.
Case Study
Empowering Businesses with Actionable Data through IoT
The client, a provider of services including design and management of social media programs, development of digital engagement strategy, and strategic consultation on international security, was in need of a solution that could help them analyze and visualize social media data. They wanted to offer their customers detailed analyses and visualizations of social media data to help them make informed decisions. The challenge was to create a visually appealing and fast application that could visualize, analyze, and generate market trend reports. The application needed to be scalable to accommodate the ever-growing dataset.
Case Study
Intelligent Prescriptive Pricing: A Game Changer for Logistics Service Providers
A US-based fintech company that offers a cloud-based customer success platform for logistics service providers was facing significant challenges in their pricing and RFP process. The company was struggling to analyze the variables that impact pricing and required an intelligent system that could predict the optimal price that aligns with their business objectives. The existing RFP and pricing workflow was inefficient, leading to delays in determining lane-level pricing and bid analysis for shipping contracts. Additionally, the process of analyzing large amounts of internal and external data from various sources was time-consuming, leading to a low bid win rate.
Case Study
IoT Testing for Home Automation: A Case Study
The client, a leading consumer products company and a member of the Russell 1000 Index, was an emerging player in the home automation space. They offered electronic keyless entry locks for residential use, with home automation applications that enabled users to control lighting and security systems. The challenge was to ensure that the hardware and software of these IoT products worked seamlessly, with the security and performance of the IoT environment guaranteed. The client wanted to ensure that new features in the home automation platform were thoroughly tested before launch. This included QA for Wi-Fi door locks (software and firmware), interoperability testing, multi-country (localization) testing, automation of the Regression Suite (web/mobile/API), and performance and security auditing. The multiple scenarios that needed to be tested and the frequency of releases necessitated a move towards test automation.
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