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Average Ratings 0 Ratings

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ease
features
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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

Scientific Figure is an online AI platform that enables users to produce and modify scientific graphics based on text descriptions, drawings, abstracts, or PDF documents of research papers. It features a variety of generators for creating scientific illustrations, visual abstracts, research posters, graphs, and diagrams, including PRISMA flowcharts, circuit diagrams, and phylogenetic trees. Users can refine and manipulate figure components within an editing interface, allowing them to modify labels and colors before exporting their creations in formats such as PNG, JPG, layered SVG, or editable PowerPoint files. The tool accommodates a range of illustration styles and facilitates plot generation from inputted data or uploaded files. Tailored for researchers, educators, principal investigators, and science communicators, it aids in the preparation of materials for publication, presentations, and educational purposes. A complimentary plan provides 100 credits, while paid subscriptions offer increased credit limits, additional export formats, and a certificate for publication licensing, making it a versatile choice for anyone in the scientific field. This flexibility ensures a broad spectrum of users can effectively visualize their data and enhance their communication of scientific concepts.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$9.90/month
Lite costs $9.90/month or $99/year ($8.25/month equivalent when billed yearly; two months free). Pro costs $19/month or $144/year. Plus costs $39/month or $240/year. The Free plan includes 100 credits and requires no card.
Free Trial No 
Free Version Yes 

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 No 
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) No 
In Person No 

Vendor Details

Company Name

Iris.ai

Founded

2015

Country

Norway

Website

iris.ai/

Vendor Details

Company Name

John Barrett

Website

scientificfigure.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

Alternatives

Alternatives

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