Next-Generation Search Technology
At the core of DeepScholar is our revolutionary, powerful AI research engine, which is unlike traditional search engines such as Google or Semantic Scholar. Our research engine uses a multi-stage process to find, analyze, and synthesize the most relevant, most trusted information to give you exactly what you need, supported by the most credible sources, no matter how complex your question.
Describe what you want to research
Your query is analyzed by our AI to understand the context and intent of your question and determine where to look for relevant information.
Our AI research engine searches for relevant information
AI-powered semantic search is performed across multiple sources, including our database of over 125M papers to identify the most relevant research
Sources are reviewed and selected
Our AI model reviews each source to determine the most relevant and credible sources to answer your question
Information is synthesized from selected sources
DeepScholar synthesizes the information from the selected sources into a comprehensive analysis
Draft document is created
DeepScholar drafts a research report, presentation or proposal based on the synthesized information, which can be easily edited and exported
