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Gatsbi

Gatsbi is a desktop AI research automation platform to generate research ideas, draft academic papers with citations, run reviews, and write patent disclosures.

Gatsbi

What is Gatsbi?

Gatsbi is an AI research automation platform designed to help users move from research ideation to academic writing, systematic literature reviews, and patent disclosure drafting. It generates original research ideas, creates paper manuscript drafts with citations and figures, and supports workflows for screening and synthesizing literature.

The platform also includes drafting support for patent disclosure documents, with output structured to cover sections such as background, invention description, novelty analysis, and claims. It is offered as a desktop application that users install and access with an account.

Key Features

  • AI research idea discovery: Input a research topic or domain to generate 10+ innovative ideas with associated solutions, originality scores, and relevant references.
  • Academic paper manuscript drafting: One-click generation of fully formatted research paper drafts based on provided notes/materials, including equations, figures, in-text citations, and real references.
  • Deep Research Agent (Gatsbi 3.0): An integrated agent that automatically collects and synthesizes evidence to support research.
  • Systematic literature review and meta-analysis assistance: AI-powered literature screening and extraction, plus synthesis that generates analytical dimensions, plots, and calculations.
  • Patent disclosure drafting in multiple languages: Draft patent disclosure documents in 11 languages, covering key sections including description, drawings, embodiments, and claims.

How to Use Gatsbi

  1. Create an account and purchase a subscription (or start with the Free plan).
  2. Download and install Gatsbi as a desktop application, then log in.
  3. Use the workflow relevant to your goal:
    • For ideas: enter your research topic, generate a list of ideas, and select one.
    • For writing: use Expand to develop the selected idea, then choose Write a Paper Manuscript or Write a Patent Disclosure.
  4. For literature-based work, use the systematic review/meta-analysis tools to handle screening, data extraction, and synthesis.

Use Cases

  • Generate research hypotheses from a topic: A researcher inputs a domain/topic, reviews the generated ideas (with originality scores and references), and expands a chosen direction before drafting.
  • Draft a manuscript from research notes: A user provides prior materials or notes, then uses one-click paper generation to produce a manuscript draft including citations, equations, and figures.
  • Accelerate a systematic review workflow: A user uses AI-driven screening and extraction to compile relevant literature and synthesize findings into publication-ready evidence outputs.
  • Support meta-analysis reporting: A user’s literature data feeds into synthesis that produces analytical dimensions, plots, and calculation outputs.
  • Prepare patent disclosure documentation: An inventor or team drafts patent disclosures (in 11 languages) including background surveys, invention descriptions, novelty analysis, drawings/embodiments, and claims.

FAQ

How do I use Gatsbi?

Create an account, purchase a subscription (the site also offers a Free plan), download and install the desktop application, then log in and start by entering a research topic. To write, generate ideas, expand a selected idea, and use Write a Paper Manuscript or Write a Patent Disclosure.

Is Gatsbi web-based or desktop?

Gatsbi is a desktop application that you download and install on your computer.

What can Gatsbi generate for research and writing?

It can generate research idea lists, draft academic paper manuscripts with citations/figures/equations, and draft patent disclosure documents that include structured sections such as description and claims.

In what languages can Gatsbi draft patent disclosures?

The platform supports patent disclosure drafting in 11 languages.

What does Gatsbi do for systematic reviews and meta-analyses?

It supports AI-powered literature screening, data extraction, and statistical synthesis, producing elements such as analytical dimensions, plots, and calculations.

Alternatives

  • General AI writing assistants with citation support: These focus on drafting text, but may require separate tooling/workflows for systematic review screening, extraction, and structured outputs like figures and calculations.
  • Literature review management and screening tools: Dedicated tools for screening/extraction can help with review workflows, but may not provide end-to-end manuscript drafting and patent disclosure structure.
  • Academic writing platforms/workflows: Tools that support manuscript structure and references can be used for drafting, though they may not include the same integrated evidence-collection agent or meta-analysis synthesis outputs.
  • Patent drafting software/workflows: Specialized patent tools can support formatting and document sections, but may not cover research idea discovery, systematic review automation, or academic manuscript generation as described for Gatsbi.