下载PDF
Ailytic
用于制造业的 AI 和 IIoT
概述
公司介绍
Ailytic 是一家为制造业提供决策分析的软件公司。我们的传感器和软件使用人工智能实现洞察,以管理实时信息、优化生产计划并在基于 Web 的完整应用程序中交付时间表。轻量级且易于部署,我们将操作员和管理人员转变为具有复杂操作环境比较建模的分析师。 Ailytic 总部位于澳大利亚阿德莱德,在中国常州设有办事处,客户遍及亚太和欧洲。
物联网解决方案
提高可用资源容量(人力、设备和材料)的利用率 集成和同步生产和维护活动 深入了解运营绩效及其对未来决策的影响 提高调度到执行工作流程的灵活性 降低运营软件支持的复杂性和成本
主要客户
施耐德电气、OzPak、
物联网应用简介
技术栈
Ailytic的技术栈描绘了Ailytic在分析与建模等物联网技术方面的实践。
-
设备层
-
边缘层
-
云层
-
应用层
-
配套技术
技术能力:
无
弱
中等
强
同类供应商.
Supplier
Sight Machine
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
Supplier
Near-Miss Management (NM)
Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions.Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology.