Iris AI VS Assmb.ly

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.

We recommend LibHunt Assembly for discovery and comparisons of trending Assembly projects.