Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Facebook Messenger
No
Slack
No
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