Fero Labs
概述
总部
美国
|
成立年份
2016
|
公司类型
私营公司
|
收入
< $10m
|
员工人数
< 10
|
网站
|
公司介绍
Fero Labs 的核心使命是为其工业客户创造价值,为其提供由可操作的白盒机器学习驱动的现代流程改进工具。 Fero Labs 以通过将现有数据与数据科学领域的最新进展相结合来增加工厂的利润而自豪。通过使用自动化机器学习软件 Fero,Fero Labs 的客户了解导致流程和质量问题的问题的根本原因。凭借对其生产的新见解,工厂解决了导致持续流程改进的潜在问题。部署后,Fero 会不断适应不断变化的工厂条件,在许多场景(例如规划、决策制定、流程优化)中为广泛的行业(例如汽车、钢铁、石油和天然气、化学品、公用事业)提供洞察力。该软件直观,促进跨部门协作。广泛的用户正在使用它,包括持续改进经理、质量工程师、操作员、数据科学家和工厂经理。
物联网解决方案
质量持续预测您的生产质量,自动识别影响关键质量指标的生产输入和设置,并预测哪些产品可能存在规划缺陷。维护甚至在复杂的机器故障发生之前预测它们,自动检测许多机器的异常模式,并预测即将阻碍生产的机器的组故障。能源预测传感器值并可视化消耗趋势,并了解今天的决策将如何影响明天的能源消耗。
主要客户
科思创、汉高、福特、ABB、Uniper、微软、英特尔、阿克苏诺贝尔
物联网应用简介
技术栈
Fero Labs的技术栈描绘了Fero Labs在平台即服务 (paas), 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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