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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
Opscidia serves as a collaborative platform that consolidates all scientific and technological knowledge into one accessible location. Utilizing cutting-edge AI technologies, it functions as a scientific hub equipped with various monitoring tools that allow users to access top-tier scientific information quickly and efficiently.
Monitoring scientific and technological advancements can be a labor-intensive endeavor; however, it is crucial for fostering innovation. By addressing this challenge, Opscidia provides a streamlined approach that ensures the most relevant scientific data is just a few clicks away. This functionality enables organizations to make the most of their monitoring time, allowing their teams to dedicate more resources to research and development initiatives, client deliverables, and routine monitoring tasks.
Among the key features of the Opscidia platform are the ability to identify emerging concepts, assess scientific trends related to specific products or technologies, accelerate the process of writing scientific reports through artificial intelligence, and facilitate collaboration and sharing of scientific information among users. Ultimately, Opscidia aims to enhance productivity while keeping teams informed and engaged with the latest developments in their fields.
API Access
Has API
No
API Access
Has API
No
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
No price information available.
Free Trial
No
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
No
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
Yes
Vendor Details
Company Name
Iris.ai
Founded
2015
Country
Norway
Website
iris.ai/
Vendor Details
Company Name
Opscidia
Founded
2019
Country
France
Website
www.opscidia.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
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No