QBurst 提供 PHP、Java、Python 和 Ruby 的开发服务，并且熟悉 Spring、Symfony、Ruby-on-Rails 和 Django 等流行框架。在移动领域，该公司拥有 iPhone、Blackberry 和 J2ME 的开发人员。
QBurst 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 传感器, 和 机器人等工业物联网科技方面的供应商。同时致力于建筑物, 教育, 医疗保健和医院, 可再生能源, 零售, 安全与公共安全, 和 运输等行业。
QBurst的技术栈描绘了QBurst在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 传感器, 和 机器人等物联网技术方面的实践。
Start adding your own!
Register with your work email and create a new supplier profile for your business.
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.
Web Portal for a Security Solutions Company
Being a security service provider, the client required a portal with functionality that would enable them to manage different user roles. Their customers are organizations that have one or more CPEs (Customer Premise Equipment) and avail of different services from the client.The client needed a scalable web portal that integrates with the CPE to manage various services. The web portal was expected to offer various service desk functionalities and integrate with third-party systems for implementing SMS functionality.
Empowering Businesses with Actionable Data
Intelligent Prescriptive Pricing
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 contractsAnalyzing large amounts of internal and external data from various sources was time-consumingLow bid win rate
IoT Testing for Home Automation Solution
The client wanted to ensure that new features in the home automation platform were thoroughly tested before launch.QA for Wi-Fi door locks (software and firmware)Interoperability testingMulti-country (localization) testingAutomation of the Regression Suite (web/mobile/API)Performance and security auditing
Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others.
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Petasense is an Industrial Internet of Things startup based in Silicon Valley. They make learning wireless sensors that connect to the cloud to democratize Predictive Maintenance for industrial customers. The vision of the company is to connect, collect and predict for the industrial world to improve operational efficiency and reduce costs.
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.