AntWorks
一个平台,无限可能
概述
总部
新加坡
|
成立年份
2015
|
公司类型
私营公司
|
收入
< $10m
|
员工人数
51 - 200
|
网站
|
推特句柄
|
公司介绍
AntWorksTM 是一家全球性的人工智能 (AI) 和智能自动化 (IA) 公司,通过数字化、自动化和企业智能利用数据创造新的可能性。作为世界上唯一一个由分形科学原理和模式识别提供支持的集成自动化平台 (IAP),ANTsteinTM 为希望实现直通式处理的有远见的公司数字化各种类型的数据。
物联网解决方案
公司的使命是利用人工智能使企业能够数字化、提取和管理非结构化数据;为了通过端到端的流程自动化来实现他们的业务成果。
物联网应用简介
技术栈
AntWorks的技术栈描绘了AntWorks在应用基础设施与中间件, 和 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
Supplier missing?
Start adding your own!
Register with your work email and create a new supplier profile for your business.
实例探究.
Case Study
Airline Company Streamlines Invoice Processing with AI
The customer, a leading low-cost airline in East Asia, was grappling with the challenge of processing approximately 2,000 invoices each month, each ranging from 100 to 200 pages in length. The invoices, coming from over a thousand suppliers, arrived in a wide array of formats. The task of manually extracting data from each invoice and processing it into the airline's BPM system was repetitive and time-consuming. The addition of new destinations only increased the volume of suppliers and invoices, further complicating the process. The airline's pre-existing OCR platform struggled with the variability of the invoice formats and required constant intervention. The frequent changes to these documents made a template-based automation approach difficult. The company was in need of an AI-based solution that didn't require data science expertise.
Case Study
Top Asset Manager Streamlines Invoice Processing with AntWorks CMR+
The client, a top asset manager based in the UK, was grappling with the challenge of manually processing a substantial volume of paperwork, which was both costly and prone to errors. The company decided to start with invoice processing, a task that involved dealing with over 750 suppliers generating more than 19,000 invoices per annum. These invoices were mostly in English, but also in Italian, Portuguese, Dutch, and Polish. The client had previously used in-house technology based on OCR, but it was not delivering the desired results. The company was seeking a third-party technology that could automate its invoice processing end-to-end, deliver higher levels of accuracy, and minimize manual work so that it could focus purely on quality control.