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What is Web Data Miner?

The Internet stands as the largest collection of publicly accessible resources in the world. At present, there are over 100 million websites that collectively feature more than 80 billion individual webpages. Each passing second witnesses a remarkable increase in the number of these webpages. Among this vast pool of content, users have access to a diverse range of valuable information, including contact information for prospective clients, competitive pricing details, real-time financial news, public opinion analysis, testimonials, trends in supply and demand, scholarly articles, online discussions, blogs, news articles, and the latest updates. However, the essential information is often buried within the complex HTML formats of these sites, which tend to be only partially organized. This complexity presents significant challenges for extracting and utilizing the data effectively. Additionally, navigating through this colossal amount of information requires advanced tools and strategic approaches to truly capitalize on its vast potential. As a result, the need for innovative solutions to streamline data extraction and enhance accessibility is more critical than ever.

What is RoeAI?

Utilize AI-Powered SQL to effectively extract, categorize, and implement Retrieval-Augmented Generation (RAG) across various types of media, such as documents, websites, videos, images, and audio files. In the realms of finance and insurance, a staggering 90% of information is found in PDF format, which poses significant hurdles due to the complexity of embedded tables, charts, and graphics. Roe provides the capability to transform large collections of financial documents into organized data and semantic embeddings, allowing for seamless integration with your preferred chatbot. Historically, the detection of fraudulent activities has been a predominantly semi-manual endeavor, hindered by the wide variety of document formats that are challenging for humans to assess effectively. With RoeAI, you can develop robust AI-driven tagging systems for millions of documents, identification numbers, and videos, significantly enhancing the speed and accuracy of data processing and fraud detection. This cutting-edge solution not only optimizes the identification process but also substantially improves the overall management and utilization of data resources. As a result, organizations can expect increased operational efficiency and better outcomes in their analytical efforts.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Knowlesys Software

Company Website

www.knowlesys.com

Company Facts

Organization Name

RoeAI

Date Founded

2023

Company Location

United States

Company Website

www.getroe.ai

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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