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scienceOS

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scienceOS: The GDPR-compliant AI research agent for faster literature reviews and collaboration

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#AI research agent#collaboration platform#literature reviews#PDF analysis#reference management#research papers#automation#network and citation analysis#GDPR-compliant#EU data residency
Inputs: text, fileOutputs: text, image
Starting Price
$7.25/mo
Type
Saas
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About scienceOS

scienceOS is an AI-powered research agent and collaboration platform designed to accelerate literature reviews, PDF analysis, and reference management for scientists and researchers. The tool grounds its answers in a weekly-updated index of over 230 million research papers from Semantic Scholar, allowing users to ask scientific questions, get overviews of new topics, create tables and diagrams, and discover related papers. It also offers a multi-PDF chat feature that enables users to upload up to 4,000 PDFs to extract data and draft manuscripts based on text, tables, and figures within those documents. The platform includes a project management component with dedicated workspaces for organizing sources, chats, and findings, as well as collaboration features for inviting colleagues. Additionally, scienceOS provides network and citation analysis, AI Actions for automation, and claims GDPR-compliant EU data residency for individuals, teams, and institutions. The tool is available as a free tier with limited features and paid subscription plans (Angel, Team, Institution) that unlock additional capabilities such as access to a best model, unlimited fast model usage, deep research, bulk file imports, and enhanced data security.

Key Features

AI science chat grounded in 225+ million research papers
AI PDF chat and multi-PDF chat (analyze up to eight PDFs simultaneously)
Automatic summarization of papers into text and slide formats
Custom AI Actions for reusable, automated research workflows
AI reference manager for thousands of full-text papers and citations
Personal Library capacity for up to 4000 sources
Network visualization of citation relationships and research trends
Citation analysis with quote context to assess influence and relevance
Project creation, sharing, and secure collaboration features
Weekly-updated papers and citations database

Pros & Cons

Pros
  • Grounds answers in a large, weekly-updated index of research papers (230+ million)
  • Offers multi-PDF chat with support for up to 4,000 PDFs, including text, tables, and figures
  • Provides project workspaces for organizing and collaborating on research
  • Claims GDPR compliance with EU data residency, which may appeal to privacy-conscious users
  • Free tier available for basic use, allowing users to test the platform before committing
  • Pricing appears relatively affordable for individual plans (Angel at 7.25€/month)
Cons
  • Free tier likely has usage limits (e.g., daily fast model limit, PDF chat text-only) that should be verified
  • Best model access is limited on the free and Angel plans (monthly limit); unlimited best model requires Team or Institution plans
  • Bulk file import limits vary by plan (100 files on Angel, 1000 on Team/Institution)
  • Deep research feature appears restricted to paid plans (Angel and above)
  • Pricing for Institution plan is custom and requires inquiry, so exact costs are not transparent

Best For

Academic researchers: Run rapid, citation-grounded literature reviews across 225M+ papers with AI science chat.Graduate students: Summarize and compare multiple PDFs at once and auto-generate study-ready slides.Librarians & information specialists: Build a library of up to 4000 sources, track citations, and map scholarly networks.Industry R&D teams: Integrate SOPs and internal reports securely, standardize prompts, and collaborate on projects.Systematic reviewers & meta-analysts: Synthesize findings with multi-PDF chat, network visualization, and citation analysis.Principal investigators & lab managers: Share reusable AI Actions to standardize outputs and onboard new team members.Data scientists & ML researchers: Query literature with verifiable citations and ground models in trusted sources.Medical & clinical researchers: Keep up with weekly updates, analyze trial PDFs, and extract evidence with traceability.Universities & IT administrators: Deploy GDPR-compliant, EU-resident or self-hosted instances with DPAs for compliance.Policy analysts & regulators: Extract, cross-check, and cite evidence from complex PDFs for transparent reporting.

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FAQ

Which papers does scienceOS know?
The scienceOS paper index is based on more than 230 million research papers from the Semantic Scholar index, along with 800 million full-text snippets and 2.4 billion reference pairs. Answers are grounded in the full text of open access papers, abstracts from closed access papers, and other relevant data from these papers.
How often is the database updated?
The scienceOS paper and citations database is updated on a weekly basis.
Where do you store my data?
scienceOS is committed to strict EU data-residency and processing controls, providing a fully GDPR-compliant AI research agent. All AI models, chats, uploaded files, and user data are located on servers within the European Union. For Team or Institution plan holders, a Data Processing Agreement (DPA) is available upon request.