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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
scienceOS is an advanced research platform utilizing artificial intelligence to streamline the workflow of scientific literature, providing researchers with swift and dependable access to an extensive collection of over 225 million research articles through an intuitive chat interface. Its primary feature, the "AI science chat," enables users to pose inquiries and receive responses anchored in existing literature, along with the ability to create tables or diagrams that encapsulate research findings. Additionally, the "multi-PDF chat" functionality allows users to upload and analyze up to eight documents simultaneously, extracting essential excerpts, figures, and tables to facilitate quick comprehension of the content; it can also produce organized summaries that cover various sections of the papers, emphasizing crucial results, limitations, and significant data points. Beyond these features, scienceOS offers an AI-driven reference management system, allowing users to maintain and categorize a library of up to 4,000 PDFs or citations, import references from external sources like Zotero, and engage in discussions about their collection, which proves beneficial for composing literature reviews and assembling bibliographies. Overall, scienceOS significantly enhances the efficiency of research by integrating multiple functionalities into one cohesive platform, making it an invaluable tool for scholars and researchers alike.
API Access
Has API
API Access
Has API
Integrations
Zotero
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$7.95 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Iris.ai
Founded
2015
Country
Norway
Website
iris.ai/
Vendor Details
Company Name
scienceOS
Founded
2023
Country
United States
Website
www.scienceos.ai/
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis