Generative AI is transforming how knowledge work is done by introducing a new class of tools that go far beyond basic question-answering. Deep research tools are enabling professionals across industries to generate comprehensive, well-sourced reports, synthesize complex information, and surface critical insights in minutes. 

By combining retrieval-augmented generation (RAG) with proprietary and public datasets, these tools deliver faster, smarter, and more tailored ways to research, analyze, and act on information.

In this report, discover:

  • How deep learning tools are redefining the research process by producing comprehensive, citation-rich outputs tailored to specific user needs
  • The key players shaping the deep research landscape
  • The critical trade-offs to consider: speed vs. depth, cost, data access, accuracy, formatting, and usability
  • What to expect as deep research tools continue to evolve