Kernel

Consensus is an AI-powered research platform that empowers academics, students, and professionals to efficiently discover and analyze the collective knowledge of peer-reviewed literature, providing actionable insights and a consensus meter to gauge the scientific community's agreement or disagreement on any research question. By leveraging its sophisticated search capabilities and evidence synthesis, Consensus streamlines research workflows, saving time and effort for users seeking to stay up-to-date with the latest findings in their field. Suitable for researchers, educators, and industry experts, Consensus is an invaluable tool for evidence-based decision making.

Elicit is an AI research assistant that automates literature review and evidence synthesis. It searches across 125 million academic papers, extracts key findings, methodologies, and data into structured tables, and summarises evidence across studies. Researchers use Elicit to conduct systematic reviews in hours instead of weeks, identify relevant papers they would have missed, and extract specific data points from large paper sets. Particularly powerful for evidence-based medicine, policy research, and meta-analysis.

Perplexity Pages is an AI-powered research publishing tool that transforms research queries into comprehensive reference documents. Researchers and students use it to create beautifully formatted, citation-rich pages. It aids in summarization and research, streamlining the process of creating informative and accurate documents.