Gatsbi

• AI research idea discovery with research-gap analysis, novelty assessment, references, and implementation suggestions
• Academic paper generation with structured sections, equations, figures, tables, citations, and references
• Deep Research Agent for collecting and synthesizing supporting research evidence
• Systematic literature review automation with study screening, data extraction, and synthesis
• AI-powered meta-analysis with statistical calculations, analytical dimensions, and visualizations
• Patent disclosure drafting covering technical background, inventions, embodiments, drawings, and preliminary claims
• Gatsbi Reviewer for reviewing and improving academic papers and patent documents
• Multiple AI service options including OpenAI, Anthropic, Google, and Hybrid models
• Desktop and web applications with private-use options and multilingual research workflows
• Plugin ecosystem with additional research and writing utilities such as Humanizer

What Is Gatsbi?

Gatsbi is an AI-powered research assistant designed for academic research, scientific writing, innovation, literature analysis, and technical documentation. The platform brings together research idea discovery, paper drafting, systematic reviews, meta-analysis, patent disclosure preparation, and document review in one workflow.

Gatsbi is built around an agentic workflow that orchestrates multiple AI agents rather than relying on a single underlying model. The company states that the detailed implementation is proprietary. :contentReference[oaicite:2]{index=2}

AI Research Idea Discovery

Gatsbi Innovator helps researchers move from a research problem or topic toward potential research directions. Users provide a research subject, after which the system analyzes the topic and generates possible research ideas.

Research Gap Detection

The ideation workflow is designed to identify potentially understudied areas and research gaps. Gatsbi can generate multiple candidate ideas together with information intended to help researchers evaluate their novelty and feasibility. :contentReference[oaicite:3]{index=3}

Innovative Research Ideas

Gatsbi can generate lists of potential research directions, typically producing multiple candidates for a supplied research problem. Each idea can include an explanation, novelty and feasibility information, a recommendation score, and supporting references.

Idea Implementation

Researchers can expand a selected idea to obtain a more detailed implementation or solution description. Additional explanations can be requested when users need clarification about the proposed approach. :contentReference[oaicite:4]{index=4}

Multilingual Ideation

The research ideation workflow accepts research problems in multiple languages. When a non-English input is detected, Gatsbi can provide suggested ideas and explanations in the input language while performing its core analysis in English.

AI Research Paper Generator

Gatsbi Writer can generate structured academic paper manuscripts from research topics, notes, or existing research materials. The platform describes support for complete manuscript structures rather than limiting the workflow to individual paragraphs or isolated sections.

Academic Paper Structure

Generated manuscripts can include components such as abstracts, introductions, methodology, results, and discussion sections. Depending on the research type, the system can also work with equations, figures, tables, charts, citations, and references.

Research Notes to Manuscripts

Gatsbi Writer can work from prior research and existing materials. Users can provide descriptions of previous work or attach DOCX documents, after which the system summarizes the research and can use the material as the basis for a manuscript or patent disclosure draft. :contentReference[oaicite:5]{index=5}

Deep Research Agent

Starting with Gatsbi 3.0, the platform includes an integrated Deep Research Agent. It is designed to collect and synthesize evidence that supports the research-writing workflow.

Research Citations

Gatsbi’s paper-generation workflow can incorporate in-text citations and references into generated manuscripts. The platform describes its research-writing system as capable of producing documents containing citations, figures, tables, equations, and references. :contentReference[oaicite:6]{index=6}

Figures and Tables

Generated academic manuscripts can include visual and structured research elements such as figures, tables, charts, and equations. These capabilities allow the output to contain more than conventional text-only academic writing.

Systematic Literature Reviews

Gatsbi provides AI-assisted systematic literature review functionality. The system can screen relevant studies, extract information, and synthesize findings as part of a structured review workflow.

Literature Screening

The systematic review workflow supports screening literature before synthesis. This can help researchers process larger collections of studies and identify material relevant to a defined review question.

Data Extraction

Gatsbi can extract information from literature as part of its systematic review workflow. Extracted information can then be organized for further synthesis and analysis.

Meta-Analysis

The platform supports AI-assisted meta-analysis, including statistical synthesis and analytical processing. Users can generate analytical dimensions, plots, and calculations as part of the review workflow. :contentReference[oaicite:7]{index=7}

Editable Review Results

Gatsbi’s systematic review and meta-analysis workflow provides results that can be reviewed and edited before they are incorporated into a manuscript. This keeps researchers involved in checking and refining the generated analysis.

Zotero Integration

The systematic review and meta-analysis workflow can optionally import a self-maintained Zotero literature list. This allows researchers to bring an existing collection of references into the review process. :contentReference[oaicite:8]{index=8}

Patent Disclosure Drafting

Gatsbi can prepare structured patent disclosure drafts based on generated research concepts or existing research materials. These documents are intended for internal review and discussion with qualified patent professionals rather than direct legal filing.

Patent Document Structure

Patent disclosure drafts can cover technical background, invention details, embodiments, drawing explanations, and preliminary claim language. This provides a structured starting point for researchers and R&D teams preparing invention documentation.

Multilingual Patent Drafting

Gatsbi states that its patent disclosure workflow supports 11 languages. This allows technical invention information to be prepared for users working across different languages and research environments.

Gatsbi Reviewer

Gatsbi Reviewer is designed to review and improve research papers and patent documents. It provides a separate workflow from the Innovator and Writer tools, allowing users to work on existing technical documents.

Research Document Review

The review workflow can be used to examine existing research documents and identify areas that may require improvement. This provides a separate stage for checking material after initial drafting.

Multiple AI Models

Gatsbi does not depend on a single AI model. Its platform can orchestrate different AI services, including OpenAI, Anthropic, Google, and a Hybrid option based on open-source models. :contentReference[oaicite:9]{index=9}

Hybrid AI Service

The Hybrid service uses open-source models and is presented as an option for users who want an alternative to provider-specific AI services. For the Hybrid option, Gatsbi states that it covers the token costs while the subscription remains active. :contentReference[oaicite:10]{index=10}

Desktop Application

Gatsbi was initially designed primarily as a desktop application for Windows and macOS. The desktop version is intended to support research and creative workflows while providing a private-use environment. :contentReference[oaicite:11]{index=11}

Web Version

Gatsbi also provides a web version that can be accessed through a user’s account. Pro subscribers can access the web version alongside the desktop application. :contentReference[oaicite:12]{index=12}

Private Use

Gatsbi provides a private-use option through its desktop application. The company states that activities on Gatsbi.com are not recorded for private usage, although queries are transmitted to third-party AI providers when those services are used.

Data and Privacy

Gatsbi’s documentation states that its servers generally do not collect or store user inputs or generated results except in certain system-error circumstances. However, information submitted to third-party AI providers can be processed by those providers, so users should review the relevant privacy terms before working with sensitive research. :contentReference[oaicite:13]{index=13}

Plugin Credits

Gatsbi provides a separate Plugin Credit system for add-on features. These credits are distinct from the core Writer and Innovator usage included with the subscription.

Humanizer Plugin

The Humanizer is one example of a Gatsbi plugin. Plugin Credits are used for features such as this rather than reducing the credits or usage available for core research paper and ideation workflows. :contentReference[oaicite:14]{index=14}

Free Access

Gatsbi provides a free plan with limited usage. New users can also activate a 1-day free trial without providing a payment method. Trial accounts have restrictions such as document export, meta-analysis, and plugin access. :contentReference[oaicite:15]{index=15}

Pro Monthly Plan

The Pro monthly subscription costs $19.99 per month. It provides unlimited research hypothesis generation and realization, research paper generation, patent disclosure drafting, and systematic review and meta-analysis generation, together with access to the desktop and web versions.

Pro Annual Plan

The annual Pro subscription costs $159.99 per year. Gatsbi advertises the annual plan as providing a 33% saving compared with monthly billing. :contentReference[oaicite:16]{index=16}

Plugin Allowance

Pro subscriptions include 2,000 free Plugin Credits each month. Unused monthly Plugin Credits expire at the end of the billing cycle and do not roll over.

Academic Research Workflows

Gatsbi is designed to cover several stages of academic research. A typical workflow can begin with research idea discovery, move into evidence collection and literature analysis, and continue through manuscript preparation or patent disclosure drafting.

Research Innovation

The Innovator workflow focuses on the early stages of research, helping users transform broad research problems into more specific directions and explore possible solutions before beginning manuscript preparation.

Academic Writing

The Writer workflow focuses on turning research materials into structured academic documents. It can incorporate prior research, references, equations, tables, figures, and other elements used in scientific manuscripts.

Research Review

The Reviewer workflow provides a separate stage for evaluating existing academic and technical documents. This allows users to treat drafting and review as different parts of the research workflow.

Researcher Use Cases

Gatsbi is intended for researchers, graduate students, academics, R&D professionals, engineers, and other users working with scientific or technical information. Its tools address both academic publication workflows and innovation documentation.

R&D and Innovation Teams

Research and development teams can use Gatsbi for early-stage ideation, technical exploration, literature analysis, manuscript preparation, and internal patent disclosure drafting.

Responsible Academic Use

Gatsbi describes itself as an assistance tool rather than a replacement for researcher judgment. The company states that users remain responsible for verifying AI-generated ideas, conducting appropriate experiments, documenting results, and following the academic integrity and disclosure requirements of their institution or publication venue.

Publication Disclaimer

Gatsbi does not submit academic work on behalf of users and does not guarantee publication outcomes. Generated research should therefore be reviewed, validated, and adapted by the researcher before being used in academic or professional contexts. :contentReference[oaicite:17]{index=17}

Frequently Asked Questions

What is Gatsbi?

Gatsbi is an AI research assistant designed for research idea discovery, academic paper drafting, systematic literature reviews, meta-analysis, patent disclosure preparation, and research document review.

Is Gatsbi free?

Gatsbi offers a limited free plan and a 1-day free trial. Full Pro access starts at $19.99 per month, while the annual Pro plan costs $159.99 per year.

Can Gatsbi write research papers?

Yes. Gatsbi Writer can generate structured academic paper manuscripts containing sections such as methodology, results, discussion, citations, references, equations, figures, tables, and charts.

Can Gatsbi find research ideas?

Yes. Gatsbi Innovator analyzes a supplied research topic and generates potential research directions, including information about novelty, feasibility, implementation, and supporting references.

Does Gatsbi support systematic reviews?

Yes. Gatsbi can assist with systematic literature reviews by screening studies, extracting data, and synthesizing research findings.

Does Gatsbi support meta-analysis?

Yes. Gatsbi provides AI-assisted meta-analysis capabilities that can perform statistical synthesis and generate analytical dimensions, calculations, and visualizations.

Can Gatsbi draft patents?

Yes. Gatsbi can create structured patent disclosure drafts covering areas such as technical background, invention details, embodiments, drawing explanations, and preliminary claim language.

Does Gatsbi have a web version?

Yes. Gatsbi provides a web version in addition to its desktop application. The current website states that web access is available to Pro users.

Which AI models does Gatsbi use?

Gatsbi is not based on one model. It can use multiple AI services, including OpenAI, Anthropic, Google, and a Hybrid option based on open-source models.

Does Gatsbi support multiple languages?

Yes. Gatsbi supports multilingual research workflows, and its patent disclosure feature supports 11 languages according to the current product information.

What are Gatsbi Plugin Credits?

Plugin Credits are a separate allowance used for additional Gatsbi plugins such as the Humanizer. They do not reduce the core usage available for Gatsbi Writer and Innovator.

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