Audience

Enterprises interested in a central search platform designed to help them search for important data and documents

About iFinder

IntraFind's Enterprise Search solution iFinder is a central search platform for all of your company's data. iFinder can be connected to all of the data sources within your company. Are your data pools constantly growing? With iFinder you are well equipped for the future: our product is based on Elasticsearch technology and can therefore adapt to any volume of data with ease. It also improves search results by deploying artificial intelligence to deliver smart enterprise search functionality. iFinder helps you find important data and documents, whether they are located on a company drive, on the intranet, in wikis, or in e-mail systems. Take the next step in your company’s digital transformation by centralizing access to all company data with our enterprise search application. iFinder improves search results by deploying artificial intelligence to deliver smart enterprise search functionality.

Integrations

API:
Yes, iFinder offers API access

Ratings/Reviews

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Company Information

IntraFind Software
Founded: 2000
Germany
www.intrafind.com/en

Videos and Screen Captures

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Product Details

Platforms Supported
SaaS
Training
Documentation
In Person
Videos
Support
Phone Support
Online

iFinder Frequently Asked Questions

Q: What kinds of users and organization types does iFinder work with?
Q: What languages does iFinder support in their product?
Q: What kind of support options does iFinder offer?
Q: What other applications or services does iFinder integrate with?
Q: Does iFinder have an API?
Q: What type of training does iFinder provide?

iFinder Product Features

Enterprise Search

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

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Full Text Search
Search / Filter
Data Classification
Data Extraction
Data Source Connectors
Intent Recognition
Multiple Data Sources
Sentiment Analysis