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Average Ratings 0 Ratings

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features
design
support

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Description

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

Description

Experience the benefits of our advanced AI-driven summaries designed for maximum efficiency and effectiveness. Our innovative, scientifically-backed algorithm empowers users to distill information seamlessly. With our service, you receive concise summaries along with essential keywords and phrases that capture the core of the content. We are capable of summarizing a wide range of file formats, such as pdf, mp3, doc, txt, jpg, and more. Utilizing cutting-edge technologies in artificial intelligence, machine learning, natural language processing, and blockchain, we streamline intricate processes and automate tasks that once demanded human intelligence. Currently, the SummarizeBot team is dedicated to addressing global scientific challenges, particularly in the realms of abstractive summarization, question-answering systems, and predictive analytics tailored for the fintech sector. Our team is frequently invited to participate in international data science competitions and challenges, which keeps us at the forefront of emerging trends in AI and machine learning, continuously enhancing our skill set and knowledge in this fast-evolving field. This commitment not only drives our innovation but also ensures we remain leaders in providing exceptional summarization services.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Facebook Messenger No 
Slack No 

Integrations

Facebook Messenger Yes 
Slack Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$179 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Iris.ai

Founded

2015

Country

Norway

Website

iris.ai/

Vendor Details

Company Name

SummarizeBot

Founded

2018

Country

Latvia

Website

www.summarizebot.com

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Product Features

Qualitative Data Analysis

Annotations Yes 
Collaboration No 
Data Visualization No 
Media Analytics Yes 
Mixed Methods Research No 
Multi-Language Yes 
Qualitative Comparative Analysis Yes 
Quantitative Content Analysis Yes 
Sentiment Analysis Yes 
Statistical Analysis Yes 
Text Analytics Yes 
User Research Analysis No 

Alternatives

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