Audience

Natural language processing platform that helps R&D

About Iris.ai

Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is a comprehensive platform for all research-related knowledge processing needs. Our Researcher Workspace solution provides smart search and a wide range of smart filters, reading list analysis, auto-generated summaries, autonomous extraction, and systematising of data. Iris.ai allows humans to focus on value creation by saving 75% of a researcher’s time, doing specialised, interdisciplinary field analysis to an above human level of accuracy. Its 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. Its machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it, and give feedback to the system. Applying these features to scientific and technical text is a complicated challenge few others can achieve.

Integrations

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Company Information

Iris.ai
Founded: 2015
Norway
iris.ai/

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Product Details

Platforms Supported
Cloud
Training
Webinars
Videos
Support
Online

Iris.ai Frequently Asked Questions

Q: What kinds of users and organization types does Iris.ai work with?
Q: What languages does Iris.ai support in their product?
Q: What type of training does Iris.ai provide?

Iris.ai Product Features

Data Extraction

Pricing Extraction
Web Data Extraction
IP Address Extraction
Document Extraction
Email Address Extraction
Image Extraction
Phone Number Extraction
Disparate Data Collection

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)

Qualitative Data Analysis

Qualitative Comparative Analysis
Mixed Methods Research
Media Analytics
Data Visualization
Text Analytics
Multi-Language
Quantitative Content Analysis
Collaboration
User Research Analysis
Sentiment Analysis
Statistical Analysis
Annotations