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
Intelligent Prescriptive Pricing: Streamlining RFP and Pricing Workflow for Logistics Service Providers
The client faced challenges in analyzing variables that impact pricing and required an intelligent system that would predict the optimal price that aligns with business objectives. There was a need to improve efficiency in the existing RFP and pricing workflow. Delays in determining lane-level pricing and bid analysis for shipping contracts. Analyzing large amounts of internal and external data from various sources was time-consuming. Low bid win rate.
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