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What is OpenText Aviator Search?

OpenText Aviator Search is a sophisticated AI-driven search platform specifically created for enterprise users, enabling them to ask questions in a conversational manner and receive precise, referenced responses from a diverse array of over 160 repositories and more than 2,000 file formats in just minutes. Leveraging artificial intelligence and natural language processing, this tool extracts valuable insights from both structured and unstructured data sources, including emails, Teams dialogues, SharePoint files, Azure Rights Management-secured documents, images, and various forms of rich media, all accessible through an intuitive conversational interface for immediate analysis. Users can customize features ranging from clicks to chat workflows, engage in interactive chat-based searches, and access integrated functionalities like optical character recognition, object detection, and image classification, uncovering insights that may be concealed within a vast spectrum of content. Additionally, administrators benefit from a user-friendly graphical interface for managing connectors, implementing role-based access controls, facilitating single sign-on functionalities, and conducting compliance checks for personally identifiable information, all of which contribute to secure and permissioned discovery processes. This multifaceted strategy not only improves the overall user experience but also optimizes the management of enterprise data, positioning it as an essential resource for organizations aiming to make the most of their information assets effectively. With its ability to simplify complex search tasks and enhance data accessibility, OpenText Aviator Search stands out as a transformative solution in the realm of enterprise information management.

What is Docxonomy?

Docxonomy provides businesses with a sophisticated insight platform that facilitates the investigation and analysis of both unstructured and structured data stored across their networks, regardless of its location. By leveraging state-of-the-art artificial intelligence and machine learning, Docxonomy is capable of handling various file formats, including Office documents, PDFs, videos, audio files, and images. This platform extracts context and meaning from the data, incorporating industry-specific terminology to categorize files, identify entities, recognize similarities, and supply answers to user queries. Additionally, organizations can deploy Docxonomy either on-premises or through their chosen cloud service providers, thereby minimizing the need for extensive consultancy. The implementation is impressively quick, usually requiring only hours or days, contrasting sharply with the lengthy timelines typical of traditional solutions. Designed with specific industries in mind, our platform grants immediate access to critical insights, enabling users to optimize their drug delivery processes without facing the challenges of expensive migrations or large-scale projects. Consequently, Docxonomy not only enhances operational efficiency but also cultivates a culture centered around data-driven decision-making within organizations. This empowers companies to make informed choices based on real-time data analysis, further driving innovation and growth.

Media

Media

Integrations Supported

Adobe Acrobat
Microsoft Azure
Microsoft SharePoint
Microsoft Teams

Integrations Supported

Adobe Acrobat
Microsoft Azure
Microsoft SharePoint
Microsoft Teams

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

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/aviator-ai/aviator-search

Company Facts

Organization Name

Docxonomy

Date Founded

2017

Company Location

United States

Company Website

docxonomy.com

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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