ScienceOS

The platform's knowledge base is grounded in over 225 million research papers from the Semantic Scholar index, enriched with 800 million full-text snippets and 2.4 billion reference pairs providing an unprecedented depth of scientific literature coverage that enables reliable, citation-backed answers to complex research questions.

The AI science chat at the center of ScienceOS goes beyond generic large language model responses by grounding every answer in indexed scientific literature.

When a researcher asks a question, ScienceOS retrieves and synthesizes information from relevant full-text papers and abstracts, providing responses that include specific citations pointing to the source papers.

This citation-backed approach addresses one of the most serious concerns about using AI in research the risk of hallucinated or unverifiable claims by making every statement traceable to a peer-reviewed source.

The multi-PDF chat capability allows researchers to upload and simultaneously analyze up to eight research papers, asking questions that draw on all documents at once. This is transformative for systematic literature reviews, where researchers typically need to synthesize findings across many papers manually.

Custom AI Actions enable the creation of reusable, automated research workflows such as extracting specific data points from every uploaded paper or generating a structured comparison table across multiple studies.

ScienceOS's AI reference manager adds a practical organization layer to the research workflow.