scienceOS provides an AI research agent designed to accelerate scientific discovery by processing information from over 230 million research papers. The platform allows users to query scientific literature, synthesize information from uploaded PDFs, and manage references using AI tools. It offers tiered access for individuals, teams, and institutions, focusing on GDPR compliance and data security within the EU.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers must sift through hundreds of millions of papers and manually compare multiple PDFs, which is time‑consuming, error‑prone, and often limited by fragmented reference management tools and strict data‑privacy requirements.
Solution
scienceOS offers an AI‑driven research agent that lets users query a continuously updated index of over 230 million scholarly papers and interact with the results through a conversational interface. The platform supports multi‑PDF chat, allowing up to eight documents to be uploaded, compared, and synthesized in a single session. An integrated AI reference manager stores, organizes, and shares papers while generating citations and visualizing citation networks. All processing, storage, and model inference run on EU‑based servers with end‑to‑end encryption and GDPR‑compliant controls, ensuring that user data is never used to train the underlying models. Tiered subscription plans provide unlimited access to the best language model, advanced PDF extraction (including scanned text, figures, and tables), and collaborative team features.
Target Audience
Primary users are academic researchers, graduate students, and research teams at universities or non‑profit institutes who need fast literature discovery, document comparison, and reference management.
Features
- Vector‑based semantic search across a 230 M‑paper corpus refreshed weekly, powered by large‑language‑model (LLM) inference
- Multi‑PDF chat engine (max 8 PDFs) that extracts text, figures, and tables (PDF+), enabling side‑by‑side comparison and synthesis
- AI reference manager with metadata indexing, citation generation, and interactive citation‑network visualizations
- Secure, encrypted storage and processing within the European Union, with role‑based access controls and optional Data Processing Agreements for institutional compliance
- GDPR‑compliant architecture that isolates user prompts and uploaded files from model training pipelines
- Subscription tiers (Free, Angel, Team, Institution) offering unlimited queries, best‑model access, and collaborative project workspaces
- Export of citation data in standard formats (BibTeX, RIS) and API hooks for integration with external research tools