The Iris.ai Researcher Workspace is a flexible tool suite that allows all researchers - without a necessary AI background knowledge - 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.
The Iris.ai Researcher Workspace can service numerous research use cases, from knowledge processing in R&D, systematic literature reviews and IP analysis to automated post-market surveillance or pharmacovigilance. Let AI take over all those tedious tasks so our best and brightest can focus on the tasks that really matter and improve our lives.
FirstIgnite - Matching scientific research to business needs
Enago Read - All In One AI-Powered Reading Assistant. A Reading Space to Ideate, Create Knowledge and Collaborate on Research
ScienceBox - Simple data science collaboration & productivity on the web
Guaana - Connect with scientists & innovators to share knowledge
TED SMRZR - TED SMRZR, an AI-powered platform, lets you read your favourite TED talks and compare the similar TED talks which would save your time.
Receptiviti - Solving businesses' most pressing people-related challenges