Science42:DORA

Science42: DORA (Draft Outline Research Assistant) is an advanced AI-driven tool designed to streamline the process of drafting academic papers and other scientific documents. Built for researchers, students, universities, biomedical teams, and general business users, DORA accelerates the journey from initial idea to a fully structured, well-cited draft — delivering results up to 10 times faster than traditional writing workflows.

Developed by Insilico Medicine, DORA combines a multi-agent AI architecture with access to over 20 curated scientific databases and proprietary biomedical models, enabling users to generate high-quality documents with transparent, traceable sourcing. The platform is available as a SaaS solution or as a self-hosted, open-source instance for developers who wish to customise their own deployment.

Core Capabilities

• Effortless document creation: Instantly generate scientific papers, essays, patents, conference abstracts, grant proposals, press releases, blog posts, and more with just a few clicks.
• Instant in-text citations: Automated citation generation for every referenced source, eliminating manual referencing and ensuring academic compliance.
• AI-powered refinement and review: Receive intelligent enhancements, structured feedback, and a detailed final review to perfect documents before submission.
• Exclusive Insilico Medicine resources: Access proprietary models including Precious3GPT for aging research and PandaOmics for omics analysis, providing a competitive edge in biomedical research.
• Seamless integration: Incorporate existing draft texts, custom results, and bibliographies to keep citations and references organised throughout the writing process.
• Diagram and visualisation generation: Transform narratives into clear, interactive visuals including Flowchart, State, Timeline, and Sequence diagrams that can be generated and exported alongside document text.

AI Agents and Research Resources

• Control over 13 specialised AI agents and 20+ research resources within a single platform.
• Select from scientific repositories including Arxiv, BioRxiv, MedRxiv, PMC, and PubMed.
• Manage biomedical resources such as PDB, GEO, STRING, HPA, and clinical trial data.
• Gather omics analysis for gene-disease associations using the PandaOmics Expert agent.
• Unlock the P3GPT model assistant to investigate geroprotectors and aging-related topics.
• Adjust scientific reference settings including publication year, citation style, and article type.
• Reference Validator and Publication Search Agents keep users updated with the latest curated publications.

Reference Finder

• Find Reference: Search for suitable citations for highlighted text across PMC and PubMed resources directly within the editor.
• Add Citation: Cite your own work or any other paper by using a manuscript ID, title, or article search to match your objective.

Custom Bibliography and Results Integration

• Upload PDFs instantly and reuse them across multiple projects.
• Auto-generate citations and bibliographies from uploaded sources.
• Extract precise text chunks for use as references within documents.
• Integrate custom data and research findings directly into the draft.
• DORA refines key sections such as Results and Discussion to maintain clarity and logical flow.

Template Collection

• Over 15 predefined templates covering a wide range of document types.
• Templates include Deep Research, Review Article, Research Article, Target Feasibility, Scientific Essay, Grant Proposal, Literature Analysis, Conference Abstract, Press Release, Blog Post, Competitive Landscape, Indication Prioritization, and more.
• Each template features pre-configured sections that guide DORA agents' writing process.
• Custom templates can be designed for enterprise organisations upon request.

Workflow: From Scratch to Peer-Reviewed Research

1. Choose a template that fits your research needs.
2. Define your objective and upload custom files and results.
3. Select AI agents to gather data for your research.
4. Customise the generation plan for your document.
5. DORA creates a comprehensive draft complete with transparent insights into the agents' work.
6. Review, refine, and finalise your draft for submission.

Use Cases by Audience

• Academia: Helps researchers produce coherent, structured, and well-cited papers, making the academic writing and research process smoother and faster. Suitable for research articles, reviews, and grant proposals.
• Universities: Assists students, PhD candidates, and postdoctoral researchers in quickly crafting research drafts with literature analysis, originality support, insightful tips, and citations. Suitable for essays, literature analyses, and conference abstracts.
• Biomedical Research: Leverages specialised templates and integration with biomedical databases to provide accurate biological data for cutting-edge research. Suitable for target feasibility, competitive landscape, and indication prioritisation documents.
• General Business: Offers advanced tools to enhance readability, consistency, and overall document quality for reports, press releases, and content creation.

Pricing and Deployment Options

• Free Trial: 3 free documents, 7-day free access, multi-purpose templates, no credit card required.
• Advanced Plan: Up to 10 document generations per month, designed for individual researchers and students.
• Professional Plan: Unlimited document generation for power users and frequent publishers requiring unrestricted access.
• Enterprise Plan: Custom templates, priority support, multiple user seats, and special features upon request — designed for teams, labs, and organisations needing advanced collaboration.
• Self-Host Builder (Open Source): Build your own DORA instance using your own LLM API keys, customise tools, templates, and code, with access to Docker images — suited for developers and contributors.

Science42: DORA is available as both a cloud-based SaaS platform and a self-hosted open-source solution, offering flexibility for individual researchers through to large enterprise teams. The platform integrates with a broad ecosystem of scientific and biomedical databases, and enterprise users can request custom templates and dedicated support to align DORA with their organisation's specific workflows.